WorldWideScience

Sample records for time-varying electricity prices

  1. Electricity Futures Prices : Time Varying Sensitivity to Fundamentals

    NARCIS (Netherlands)

    S-E. Fleten (Stein-Erik); R. Huisman (Ronald); M. Kilic (Mehtap); H.P.G. Pennings (Enrico); S. Westgaard (Sjur)

    2014-01-01

    textabstractThis paper provides insight in the time-varying relation between electricity futures prices and fundamentals in the form of prices of contracts for fossil fuels. As supply curves are not constant and different producers have different marginal costs of production, we argue that the

  2. Consumer responses to time varying prices for electricity

    International Nuclear Information System (INIS)

    Thorsnes, Paul; Williams, John; Lawson, Rob

    2012-01-01

    We report new experimental evidence of the household response to weekday differentials in peak and off-peak electricity prices. The data come from Auckland, New Zealand, where peak residential electricity consumption occurs in winter for heating. Peak/off-peak price differentials ranged over four randomly selected groups from 1.0 to 3.5. On average, there was no response except in winter. In winter, participant households reduced electricity consumption by at least 10%, took advantage of lower off-peak prices but did not respond to the peak price differentials. Response varied with house and household size, time spent away from home, and whether water was heated with electricity. - Highlights: ► Seasonal effects in winter. ► High conservation effect from information. ► Higher peak prices no effect on peak use. ► Low off-peak prices encourage less conservation off-peak.

  3. Time-varying convergence in European electricity spot markets and their association with carbon and fuel prices

    International Nuclear Information System (INIS)

    Menezes, Lilian M. de; Houllier, Melanie A.; Tamvakis, Michael

    2016-01-01

    Long-run dynamics of electricity prices are expected to reflect fuel price developments, since fuels generally account for a large share in the cost of generation. As an integrated European market for electricity develops, wholesale electricity prices should be converging as a result of market coupling and increased interconnectivity. Electricity mixes are also changing, spurred by a drive to significantly increase the share of renewables. Consequently, the electricity wholesale price dynamics are evolving, and the fuel–electricity price nexus that has been described in the literature is likely to reflect this evolution. This study investigates associations between spot prices from the British, French and Nordpool markets with those in connected electricity markets and fuel input prices, from December 2005 to October 2013. In order to assess the time-varying dynamics of electricity spot price series, localized autocorrelation functions are used. Electricity spot prices in the three markets are found to have stationary and non-stationary periods. When a trend in spot prices is observed, it is likely to reflect the trend in fuel prices. Cointegration analysis is then used to assess co-movement between electricity spot prices and fuel inputs to generation. The results show that British electricity spot prices are associated with fuel prices and not with price developments in connected markets, while the opposite is observed in the French and Nordpool day-ahead markets. - Highlights: • Electricity market integration policies may have altered EU spot electricity prices. • LACF is used to assess the changing nature of electricity spot prices. • EU electricity spot prices show both stationary and non-stationary periods. • Carbon and fuel prices have greater impact on British spot prices. • In continental Europe, electricity prices have decoupled from fuel prices.

  4. The effect of utility time-varying pricing and load control strategies on residential summer peak electricity use. A review

    International Nuclear Information System (INIS)

    Newsham, Guy R.; Bowker, Brent G.

    2010-01-01

    Peak demand for electricity in North America is expected to grow, challenging electrical utilities to supply this demand in a cost-effective, reliable manner. Therefore, there is growing interest in strategies to reduce peak demand by eliminating electricity use, or shifting it to non-peak times. This strategy is commonly called 'demand response'. In households, common strategies are time-varying pricing, which charge more for energy use on peak, or direct load control, which allows utilities to curtail certain loads during high demand periods. We reviewed recent North American studies of these strategies. The data suggest that the most effective strategy is a critical peak price (CPP) program with enabling technology to automatically curtail loads on event days. There is little evidence that this causes substantial hardship for occupants, particularly if they have input into which loads are controlled and how, and have an override option. In such cases, a peak load reduction of at least 30% is a reasonable expectation. It might be possible to attain such load reductions without enabling technology by focusing on household types more likely to respond, and providing them with excellent support. A simple time-of-use (TOU) program can only expect to realise on-peak reductions of 5%. (author)

  5. Flexible Demand Management under Time-Varying Prices

    Science.gov (United States)

    Liang, Yong

    In this dissertation, the problem of flexible demand management under time-varying prices is studied. This generic problem has many applications, which usually have multiple periods in which decisions on satisfying demand need to be made, and prices in these periods are time-varying. Examples of such applications include multi-period procurement problem, operating room scheduling, and user-end demand scheduling in the Smart Grid, where the last application is used as the main motivating story throughout the dissertation. The current grid is experiencing an upgrade with lots of new designs. What is of particular interest is the idea of passing time-varying prices that reflect electricity market conditions to end users as incentives for load shifting. One key component, consequently, is the demand management system at the user-end. The objective of the system is to find the optimal trade-off between cost saving and discomfort increment resulted from load shifting. In this dissertation, we approach this problem from the following aspects: (1) construct a generic model, solve for Pareto optimal solutions, and analyze the robust solution that optimizes the worst-case payoffs, (2) extend to a distribution-free model for multiple types of demand (appliances), for which an approximate dynamic programming (ADP) approach is developed, and (3) design other efficient algorithms for practical purposes of the flexible demand management system. We first construct a novel multi-objective flexible demand management model, in which there are a finite number of periods with time-varying prices, and demand arrives in each period. In each period, the decision maker chooses to either satisfy or defer outstanding demand to minimize costs and discomfort over a certain number of periods. We consider both the deterministic model, models with stochastic demand or prices, and when only partial information about the stochastic demand or prices is known. We first analyze the stochastic

  6. Multivariate Option Pricing with Time Varying Volatility and Correlations

    DEFF Research Database (Denmark)

    Rombouts, Jeroen V.K.; Stentoft, Lars Peter

    In recent years multivariate models for asset returns have received much attention, in particular this is the case for models with time varying volatility. In this paper we consider models of this class and examine their potential when it comes to option pricing. Specifically, we derive the risk...... neutral dynamics for a general class of multivariate heteroskedastic models, and we provide a feasible way to price options in this framework. Our framework can be used irrespective of the assumed underlying distribution and dynamics, and it nests several important special cases. We provide an application...... to options on the minimum of two indices. Our results show that not only is correlation important for these options but so is allowing this correlation to be dynamic. Moreover, we show that for the general model exposure to correlation risk carries an important premium, and when this is neglected option...

  7. Time-varying value of electric energy efficiency

    Energy Technology Data Exchange (ETDEWEB)

    Mims, Natalie A.; Eckman, Tom; Goldman, Charles

    2017-06-30

    Electric energy efficiency resources save energy and may reduce peak demand. Historically, quantification of energy efficiency benefits has largely focused on the economic value of energy savings during the first year and lifetime of the installed measures. Due in part to the lack of publicly available research on end-use load shapes (i.e., the hourly or seasonal timing of electricity savings) and energy savings shapes, consideration of the impact of energy efficiency on peak demand reduction (i.e., capacity savings) has been more limited. End-use load research and the hourly valuation of efficiency savings are used for a variety of electricity planning functions, including load forecasting, demand-side management and evaluation, capacity and demand response planning, long-term resource planning, renewable energy integration, assessing potential grid modernization investments, establishing rates and pricing, and customer service. This study reviews existing literature on the time-varying value of energy efficiency savings, provides examples in four geographically diverse locations of how consideration of the time-varying value of efficiency savings impacts the calculation of power system benefits, and identifies future research needs to enhance the consideration of the time-varying value of energy efficiency in cost-effectiveness screening analysis. Findings from this study include: -The time-varying value of individual energy efficiency measures varies across the locations studied because of the physical and operational characteristics of the individual utility system (e.g., summer or winter peaking, load factor, reserve margin) as well as the time periods during which savings from measures occur. -Across the four locations studied, some of the largest capacity benefits from energy efficiency are derived from the deferral of transmission and distribution system infrastructure upgrades. However, the deferred cost of such upgrades also exhibited the greatest range

  8. Modeling of Electricity Demand for Azerbaijan: Time-Varying Coefficient Cointegration Approach

    Directory of Open Access Journals (Sweden)

    Jeyhun I. Mikayilov

    2017-11-01

    Full Text Available Recent literature has shown that electricity demand elasticities may not be constant over time and this has investigated using time-varying estimation methods. As accurate modeling of electricity demand is very important in Azerbaijan, which is a transitional country facing significant change in its economic outlook, we analyze whether the response of electricity demand to income and price is varying over time in this economy. We employed the Time-Varying Coefficient cointegration approach, a cutting-edge time-varying estimation method. We find evidence that income elasticity demonstrates sizeable variation for the period of investigation ranging from 0.48% to 0.56%. The study has some useful policy implications related to the income and price aspects of the electricity consumption in Azerbaijan.

  9. A behavioral asset pricing model with a time-varying second moment

    International Nuclear Information System (INIS)

    Chiarella, Carl; He Xuezhong; Wang, Duo

    2006-01-01

    We develop a simple behavioral asset pricing model with fundamentalists and chartists in order to study price behavior in financial markets when chartists estimate both conditional mean and variance by using a weighted averaging process. Through a stability, bifurcation, and normal form analysis, the market impact of the weighting process and time-varying second moment are examined. It is found that the fundamental price becomes stable (unstable) when the activities from both types of traders are balanced (unbalanced). When the fundamental price becomes unstable, the weighting process leads to different price dynamics, depending on whether the chartists act as either trend followers or contrarians. It is also found that a time-varying second moment of the chartists does not change the stability of the fundamental price, but it does influence the stability of the bifurcations. The bifurcation becomes stable (unstable) when the chartists are more (less) concerned about the market risk characterized by the time-varying second moment. Different routes to complicated price dynamics are also observed. The analysis provides an analytical foundation for the statistical analysis of the corresponding stochastic version of this type of behavioral model

  10. The relationship between global oil price shocks and China's output: A time-varying analysis

    International Nuclear Information System (INIS)

    Cross, Jamie; Nguyen, Bao H.

    2017-01-01

    We employ a class of time-varying Bayesian vector autoregressive (VAR) models on new standard dataset of China's GDP constructed by to examine the relationship between China's economic growth and global oil market fluctuations between 1992Q1 and 2015Q3. We find that: (1) the time varying parameter VAR with stochastic volatility provides a better fit as compared to it's constant counterparts; (2) the impacts of intertemporal global oil price shocks on China's output are often small and temporary in nature; (3) oil supply and specific oil demand shocks generally produce negative movements in China's GDP growth whilst oil demand shocks tend to have positive effects; (4) domestic output shocks have no significant impact on price or quantity movements within the global oil market. The results are generally robust to three commonly employed indicators of global economic activity: Kilian's global real economic activity index, the metal price index and the global industrial production index, and two alternative oil price metrics: the US refiners' acquisition cost for imported crude oil and the West Texas Intermediate price of crude oil. - Highlights: • A class of time-varying BVARs is used to examine the relationship between China's economic growth and global oil market fluctuations. • The impacts of intertemporal global oil price shocks on China's output are often small and temporary in nature. • Oil supply and specific oil demand shocks generally produce negative movements in China's GDP growth while oil demand shocks tend to have positive effects. • Domestic output shocks have no significant impact on price or quantity movements within the global oil market.

  11. The estimation of time-varying risks in asset pricing modelling using B-Spline method

    Science.gov (United States)

    Nurjannah; Solimun; Rinaldo, Adji

    2017-12-01

    Asset pricing modelling has been extensively studied in the past few decades to explore the risk-return relationship. The asset pricing literature typically assumed a static risk-return relationship. However, several studies found few anomalies in the asset pricing modelling which captured the presence of the risk instability. The dynamic model is proposed to offer a better model. The main problem highlighted in the dynamic model literature is that the set of conditioning information is unobservable and therefore some assumptions have to be made. Hence, the estimation requires additional assumptions about the dynamics of risk. To overcome this problem, the nonparametric estimators can also be used as an alternative for estimating risk. The flexibility of the nonparametric setting avoids the problem of misspecification derived from selecting a functional form. This paper investigates the estimation of time-varying asset pricing model using B-Spline, as one of nonparametric approach. The advantages of spline method is its computational speed and simplicity, as well as the clarity of controlling curvature directly. The three popular asset pricing models will be investigated namely CAPM (Capital Asset Pricing Model), Fama-French 3-factors model and Carhart 4-factors model. The results suggest that the estimated risks are time-varying and not stable overtime which confirms the risk instability anomaly. The results is more pronounced in Carhart’s 4-factors model.

  12. On the link between oil price and exchange rate: A time-varying VAR parameter approach

    International Nuclear Information System (INIS)

    Bremond, Vincent; Razafindrabe, Tovonony; Hache, Emmanuel

    2015-07-01

    The aim of this paper is to study the relationship between the effective exchange rate of the dollar and the oil price dynamics from 1976 to 2013. In this context, we propose to explore the economic literature dedicated to financial channels factors (exchange rate, monetary policy, and international liquidity) that could affect the oil price dynamics. In addition to oil prices and the effective exchange rate of the dollar, we use the dry cargo index as a proxy for the real economic activity and prices for precious and industrial raw materials. Using a Bayesian time-varying parameter vector auto-regressive estimation, our main results show that the US Dollar effective exchange rate elasticity of the crude oil prices is not constant across the time and remains negative from 1989. It then highlights that a depreciation of the effective exchange rate of the dollar leads to an increase of the crude oil prices. Our paper also demonstrates the growing influence of financial and commodities markets development upon the global economy. (authors)

  13. Electricity pricing

    International Nuclear Information System (INIS)

    Wijayatunga, P.D.C.

    1994-01-01

    Electricity pricing in most countries, especially in the developing world, has been determined by traditional accounting criteria where it raises revenue requirements to cover the operating costs and a return on past and future capital investments in possible power systems. The use of economic principles to improve the total economic efficiency in the electricity industry is discussed. Basic marginal cost theory, long run marginal costing (LRMC) cost categories and rating periods, marginal capacity costs, marginal energy costs, consumer costs, short run marginal costing (SRMC), marginal cost of fuel, marginal cost of network losses, market clearing price, value of unserved energy and network quality of supply cost are discussed

  14. Determining Time-Varying Drivers of Spot Oil Price in a Dynamic Model Averaging Framework

    Directory of Open Access Journals (Sweden)

    Krzysztof Drachal

    2018-05-01

    Full Text Available This article presents results from modelling spot oil prices by Dynamic Model Averaging (DMA. First, based on a literature review and availability of data, the following oil price drivers have been selected: stock prices indices, stock prices volatility index, exchange rates, global economic activity, interest rates, supply and demand indicators and inventories level. Next, they have been included as explanatory variables in various DMA models with different initial parameters. Monthly data between January 1986 and December 2015 has been analyzed. Several variations of DMA models have been constructed, because DMA requires the initial setting of certain parameters. Interestingly, DMA has occurred to be robust to setting different values to these parameters. It has also occurred that the quality of prediction is the highest for the model with the drivers solely connected with the stock markets behavior. Drivers connected with macroeconomic fundamental indicators have not been found so important. This observation can serve as an argument favoring the hypothesis of the increasing financialization of the oil market, at least in the short-term period. The predictions from other, slightly different modelling variations based on DMA methodology, have happened to be consistent with each other in general. Many constructed models have outperformed alternative forecasting methods. It has also been found that normalization of the initial data, although not necessary for DMA from the theoretical point of view, significantly improves the quality of prediction.

  15. Assessing market uncertainty by means of a time-varying intermittency parameter for asset price fluctuations

    Science.gov (United States)

    Rypdal, Martin; Sirnes, Espen; Løvsletten, Ola; Rypdal, Kristoffer

    2013-08-01

    Maximum likelihood estimation techniques for multifractal processes are applied to high-frequency data in order to quantify intermittency in the fluctuations of asset prices. From time records as short as one month these methods permit extraction of a meaningful intermittency parameter λ characterising the degree of volatility clustering. We can therefore study the time evolution of volatility clustering and test the statistical significance of this variability. By analysing data from the Oslo Stock Exchange, and comparing the results with the investment grade spread, we find that the estimates of λ are lower at times of high market uncertainty.

  16. Pricing of Fluctuations in Electricity Markets

    OpenAIRE

    Tsitsiklis, John N.; Xu, Yunjian

    2012-01-01

    In an electric power system, demand fluctuations may result in significant ancillary cost to suppliers. Furthermore, in the near future, deep penetration of volatile renewable electricity generation is expected to exacerbate the variability of demand on conventional thermal generating units. We address this issue by explicitly modeling the ancillary cost associated with demand variability. We argue that a time-varying price equal to the suppliers' instantaneous marginal cost may not achieve s...

  17. Electricity price modeling with stochastic time change

    International Nuclear Information System (INIS)

    Borovkova, Svetlana; Schmeck, Maren Diane

    2017-01-01

    In this paper, we develop a novel approach to electricity price modeling, based on the powerful technique of stochastic time change. This technique allows us to incorporate the characteristic features of electricity prices (such as seasonal volatility, time varying mean reversion and seasonally occurring price spikes) into the model in an elegant and economically justifiable way. The stochastic time change introduces stochastic as well as deterministic (e.g., seasonal) features in the price process' volatility and in the jump component. We specify the base process as a mean reverting jump diffusion and the time change as an absolutely continuous stochastic process with seasonal component. The activity rate of the stochastic time change can be related to the factors that influence supply and demand. Here we use the temperature as a proxy for the demand and hence, as the driving factor of the stochastic time change, and show that this choice leads to realistic price paths. We derive properties of the resulting price process and develop the model calibration procedure. We calibrate the model to the historical EEX power prices and apply it to generating realistic price paths by Monte Carlo simulations. We show that the simulated price process matches the distributional characteristics of the observed electricity prices in periods of both high and low demand. - Highlights: • We develop a novel approach to electricity price modeling, based on the powerful technique of stochastic time change. • We incorporate the characteristic features of electricity prices, such as seasonal volatility and spikes into the model. • We use the temperature as a proxy for the demand and hence, as the driving factor of the stochastic time change • We derive properties of the resulting price process and develop the model calibration procedure. • We calibrate the model to the historical EEX power prices and apply it to generating realistic price paths.

  18. Guidelines for limiting exposure to time-varying electric and magnetic fields (1 Hz to 100 kHz)

    International Nuclear Information System (INIS)

    Anon.

    2011-01-01

    This paper is the French translation of an article from the International Commission on Non-Ionizing Radiation Protection (ICNIRP) Guidelines, entitled 'Guidelines for Limiting Exposure to Time-Varying Electric and Magnetic Fields (1 Hz To 100 kHz)'. In This document, guidelines are established for the protection of humans exposed to electric and magnetic fields in the low-frequency range of the electromagnetic spectrum. The general principles for the development of ICNIRP guidelines are published elsewhere (ICNIRP 2002). For the purpose of this document, the low-frequency range extends from 1 Hz to 100 kHz. Above 100 kHz, effects such as heating need to be considered, which are covered by other ICNIRP guidelines. However, in the frequency range from 100 kHz up to approximately 10 MHz protection from both, low frequency effects on the nervous system as well as high frequency effects need to be considered depending on exposure conditions. Therefore, some guidance in this document is extended to 10 MHz to cover the nervous system effects in this frequency range. Guidelines for static magnetic fields have been issued in a separate document (ICNIRP 2009). Guidelines applicable to movement-induced electric fields or time-varying magnetic fields up to 1 Hz will be published separately. This publication replaces the low-frequency part of the 1998 guidelines (ICNIRP 1998). ICNIRP is currently revising the guidelines for the high-frequency portion of the spectrum (above 100 kHz). (authors)

  19. Regulation of electricity prices?

    International Nuclear Information System (INIS)

    Mihok, P.

    2006-01-01

    In this paper author deals with the regulation of electricity prices in the Slovak Republic. Author contests the social policy of the government through doped prices of electricity. Two thirds of electricity is generated in nuclear power plants in Slovakia. Hence, it is necessary to focus on the solution of problem of nuclear waste. In 2004 Ministry of Economy stated, that the deficit in nuclear fund, from which the country have to fully cover the costs of liquidation and final disposal of nuclear waste, is estimated in the amount of around 89 billion Slovak crowns (≅ 3.7 billion $). From it, so called historical deficit, which originated because of late foundation of fund, represents officially 15 billion Slovak crowns (≅ 0.62 billion $). In Slovakia exists the real risk, that by maintenance of present state by creation and draw of the fund, it will be possible to ensure only 39 per cent of financial sources necessary for full financial handling of the back part of nuclear energetic. Even though the Ministry of Economy in connection with privatisation of Slovenske elektrarne designed to decrease the transfers of operators of nuclear power plants into nuclear fund. In 2006 the Parliament decreased by the law the level of gains of the fund from sale of nuclear electricity (the second from two components of the gains of the fund) from 6.8 to 5.95 per cent from annual revenues. So the tax of forced reduction of the price of nuclear electricity will be represented by loading of the further generations

  20. Electrical resistance imaging of a time-varying interface in stratified flows using an unscented Kalman filter

    International Nuclear Information System (INIS)

    Ijaz, Umer Zeeshan; Khambampati, Anil Kumar; Kim, Kyung Youn; Chung, Soon Il; Kim, Sin

    2008-01-01

    In this paper, we estimate a time-varying interfacial boundary in stratified flows of two immiscible liquids using electrical resistance tomography. The interfacial boundary is approximated with front points spaced discretely along the interface. The design variables to be estimated are the locations of the front points, which are varying with the moving interface. The inverse problem is treated as a stochastic nonlinear state estimation problem with the nonstationary phase boundary (state) being estimated with the aid of an unscented Kalman filter. Numerical experiments are performed to evaluate the performance of an unscented Kalman filter. Specifically, a detailed analysis has been done on the effect of the number of front points and contrast ratio on the reconstruction performance. The reconstruction results show that an unscented Kalman filter is better suited for estimation in comparison to the conventional extended Kalman filter

  1. Electric Cars and Oil Prices

    OpenAIRE

    Azar, Jose

    2009-01-01

    This paper studies the joint dynamics of oil prices and interest in electric cars, measured as the volume of Google searches for related phrases. Not surprisingly, I find that oil price shocks predict increases in Google searches for electric cars. Much more surprisingly, I also find that an increase in Google searches predicts declines in oil prices. The high level of public interest in electric cars between April and August of 2008 can explain approximately half of the decline in oil prices...

  2. Citrate-capped gold nanoparticle electrophoretic heat production in response to a time-varying radiofrequency electric-field.

    Science.gov (United States)

    Corr, Stuart J; Raoof, Mustafa; Mackeyev, Yuri; Phounsavath, Sophia; Cheney, Matthew A; Cisneros, Brandon T; Shur, Michael; Gozin, Michael; McNally, Patrick J; Wilson, Lon J; Curley, Steven A

    2012-11-15

    The evaluation of heat production from gold nanoparticles (AuNPs) irradiated with radiofrequency (RF) energy has been problematic due to Joule heating of their background ionic buffer suspensions. Insights into the physical heating mechanism of nanomaterials under RF excitations must be obtained if they are to have applications in fields such as nanoparticle-targeted hyperthermia for cancer therapy. By developing a purification protocol which allows for highly-stable and concentrated solutions of citrate-capped AuNPs to be suspended in high-resistivity water, we show herein, for the first time, that heat production is only evident for AuNPs of diameters ≤ 10 nm, indicating a unique size-dependent heating behavior not previously observed. Heat production has also shown to be linearly dependent on both AuNP concentration and total surface area, and severely attenuated upon AuNP aggregation. These relationships have been further validated using permittivity analysis across a frequency range of 10 MHz to 3 GHz, as well as static conductivity measurements. Theoretical evaluations suggest that the heating mechanism can be modeled by the electrophoretic oscillation of charged AuNPs across finite length scales in response to a time-varying electric field. It is anticipated these results will assist future development of nanoparticle-assisted heat production by RF fields for applications such as targeted cancer hyperthermia.

  3. Prices on electricity and transmission of electricity

    International Nuclear Information System (INIS)

    2003-01-01

    This publication contains data on prices of electric energy and transmission of electricity valid from 1 January 2003. The purpose is to illustrate the price changes on the electricity market in terms of prices for different customer categories. All companies holding network concessions for areas and all companies trading in electricity are included in this report, which is produced on an annual basis.The prices for transmission services 1 January 2003 were on the whole unchanged compared to the preceding year. For households the mean annual cost was SEK 882 for flats, SEK 4 335 for one- or two-family houses with electric heating and SEK 1 925 for those without electric heating. Electricity prices rose considerably on 1 January 2003 compared to the year before. The mean price per kWh for households with standard agreements was SEK 0.519 for deliveries to flats, SEK 0.447 for one- or two-family houses with electric heating and SEK 0.471 without electric heating. As a result, the mean annual cost increased by SEK 326 for flats, SEK 3 012 for one- or two-family houses with electric heating, and by SEK 774 for those houses without electric heating. The high costs of electricity may be explained in part by the development on the Nordic Power Exchange (Nord Pool), where the spot price increased by about 290 per cent during 2002 (1 USD is about 8 SEK)

  4. Regime jumps in electricity prices

    NARCIS (Netherlands)

    R. Huisman (Ronald); R.J. Mahieu (Ronald)

    2003-01-01

    textabstractMany countries are liberalizing their energy markets. Participants in these markets are exposed to market risk due to the characteristics of electricity price dynamics. Electricity prices are known to be mean-reverting very volatile and subject to frequent spikes. Models that describe

  5. Prices on electricity and transmission of electricity

    International Nuclear Information System (INIS)

    2002-01-01

    This publication contains data on prices of electric energy and transmission of electricity valid on 1 January 2002. The purpose is to illustrate the price changes on the electricity market in terms of prices for different customer categories. All companies holding network concessions for areas and all companies trading in electricity are included in this report, which is produced on an annual basis. The prices for transmission services 1 January 2002 were on the whole unchanged compared to the preceding year. For households the mean annual cost was SEK 856 for flats, SEK 4,194 one- or two-family houses with electric heating and SEK 1,881 without electric heating. (1 SEK ∼ 0.1 USD). Electricity prices rose considerably on 1 January 2002 compared to the year before. The mean price per kWh for households according to standard agreement was SEK 0.356 for deliveries to flats, SEK 0.296 for apartments in one- or two-family houses with electric heating and SEK 0.316 without electric heating. That means that the mean annual cost increased by SEK 171 for flats. For one- or two-family houses with electric heating, costs increased by SEK 1,424, and by SEK 379 for those houses without electric heating. The high costs of electricity may be explained in part by the development on the Nordic Power Exchange (Nord Pool), where the spot price increased by 75 per cent during 2001. The price development for household customers during 1996-2002 is shown in a diagram

  6. Forecasting Day-Ahead Electricity Prices : Utilizing Hourly Prices

    NARCIS (Netherlands)

    E. Raviv (Eran); K.E. Bouwman (Kees); D.J.C. van Dijk (Dick)

    2013-01-01

    textabstractThe daily average price of electricity represents the price of electricity to be delivered over the full next day and serves as a key reference price in the electricity market. It is an aggregate that equals the average of hourly prices for delivery during each of the 24 individual

  7. Space-time modeling of electricity spot prices

    DEFF Research Database (Denmark)

    Abate, Girum Dagnachew; Haldrup, Niels

    In this paper we derive a space-time model for electricity spot prices. A general spatial Durbin model that incorporates the temporal as well as spatial lags of spot prices is presented. Joint modeling of space-time effects is necessarily important when prices and loads are determined in a network...... in the spot price dynamics. Estimation of the spatial Durbin model show that the spatial lag variable is as important as the temporal lag variable in describing the spot price dynamics. We use the partial derivatives impact approach to decompose the price impacts into direct and indirect effects and we show...... that price effects transmit to neighboring markets and decline with distance. In order to examine the evolution of the spatial correlation over time, a time varying parameters spot price spatial Durbin model is estimated using recursive estimation. It is found that the spatial correlation within the Nord...

  8. Regime Jumps in Electricity Prices

    NARCIS (Netherlands)

    R. Huisman (Ronald); R.J. Mahieu (Ronald)

    2001-01-01

    textabstractElectricity prices are known to be very volatile and subject to frequent jumps due to system breakdown, demand shocks, and inelastic supply. As many international electricity markets are in some state of deregulation, more and more participants in these markets are exposed to these

  9. Forecasting Day-Ahead Electricity Prices: Utilizing Hourly Prices

    OpenAIRE

    Raviv, Eran; Bouwman, Kees E.; van Dijk, Dick

    2013-01-01

    This discussion paper led to a publication in 'Energy Economics' , 2015, 50, 227-239. The daily average price of electricity represents the price of electricity to be delivered over the full next day and serves as a key reference price in the electricity market. It is an aggregate that equals the average of hourly prices for delivery during each of the 24 individual hours. This paper demonstrates that the disaggregated hourly prices contain useful predictive information for the daily average ...

  10. Pricing electricity for sustainability : climate change and Canada's electricity sector

    International Nuclear Information System (INIS)

    2010-01-01

    The electricity sector is Canada's largest single source of greenhouse gas (GHG) emissions. This paper discussed electricity and carbon pricing approaches to reducing GHG emissions in the electricity sector. An overview of the links between electricity pricing and climate change was presented, and current and emerging trends in electricity pricing related to encouraging energy conservation were reviewed. Market prices and failures were discussed. Approaches to pricing electricity included an increase in block prices; time-of-use prices; demand-side management and energy efficiency; and carbon pricing in Canada and electricity pricing signals. The study showed that several provincial utilities in Canada are experimenting with market-based pricing approaches for electricity and carbon that may help to reduce GHG emissions over time. Concerns over electricity supply and the negative environmental impacts of electricity production may lead to the full social pricing of electricity in some regions of Canada. 46 refs., 3 tabs., 5 figs.

  11. An empirical examination of restructured electricity prices

    International Nuclear Information System (INIS)

    Knittel, C.R.; Roberts, M.R.

    2005-01-01

    We present an empirical analysis of restructured electricity prices. We study the distributional and temporal properties of the price process in a non-parametric framework, after which we parametrically model the price process using several common asset price specifications from the asset-pricing literature, as well as several less conventional models motivated by the peculiarities of electricity prices. The findings reveal several characteristics unique to electricity prices including several deterministic components of the price series at different frequencies. An 'inverse leverage effect' is also found, where positive shocks to the price series result in larger increases in volatility than negative shocks. We find that forecasting performance in dramatically improved when we incorporate features of electricity prices not commonly modelled in other asset prices. Our findings have implications for how empiricists model electricity prices, as well as how theorists specify models of energy pricing. (author)

  12. Inquiry report about electricity prices

    International Nuclear Information System (INIS)

    2004-10-01

    In March 2004, the French minister of economy, finances and industry put in the hands of the general inspection of finances and of the general council of mines, the mission to carry out an expertise about the evolution of electricity prices since February 2000, date of the progressive opening of the electricity market to competition. Since 2003, many customers, in particular the big power consuming industries, have started to worry in front of the increase of electricity prices. The conclusions of the expertise represent a contribution to the analysis of the operation of electricity markets and will participate to the improvement of this operation. This document comprises the synthesis of the report given to the minister and the full report. (J.S.)

  13. Pricing of electricity in Indonesia

    International Nuclear Information System (INIS)

    Amarullah, M.

    1983-01-01

    The objectives of this study are 1) to establish a sound theoretical basis for the determinants of electricity demand in Indonesia, 2) to measure the welfare losses of existing electricity pricing, and 3) to suggest a method of reducing these welfare losses. An econometric model for electricity demand is estimated using pooled time-series of fifteen regions in Indonesia covering the period 1970-1979. The short run price elasticities for both residential and industrial/business sectors are found to be inelastic, while the long run price elasticities for these sectors are found to be quite elastic with a value of -.61 for the residential sector and of -1.1 for the industrial/business sector. Income elasticity is .8 in the short run and around 1.00 for the long run. The exposure variable that captures the accessibility of electricity, has long run elasticity of 1.00 for the residential sector and less than 1.00 for the industrial/business sector. Due to distributional considerations, the 1980's electricity rate was set below its efficient level, and has created a welfare loss of Rp.8273.23 million per month. This accounts for 36.03% of the monthly electricity revenue. A rebate mechanism is recommended in this study, which provides a way to mitigate conflicting aspects of efficiency and equity

  14. CO2 Allowance and Electricity Price Interaction

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2007-07-01

    With the introduction of CO2 emission constraints on power generators in the European Union, climate policy is starting to have notable effects on energy markets. This paper sheds light on the links between CO2 prices, electricity prices, and electricity costs to industry. It is based on a series of interviews with industrial and electricity stakeholders, as well as a rich literature seeking to estimate the exact effect of CO2 prices on electricity prices.

  15. Electricity pricing and management systems

    International Nuclear Information System (INIS)

    Sawal, D.M.; Bajapai, Ashok

    1997-01-01

    The installed capacity of power generation in India is at present 80,000 MW. Out of the total 5.79 lakh inhabitated villages in the country, 4.79 villages have been electrified so far. Total number of consumers of electricity are about 95 million in the country. For such a large country with population of over 900 million and area of 32.873 lakh sq. kms., the role of electricity pricing and management system of the power sector is of paramount importance

  16. Time-varying BRDFs.

    Science.gov (United States)

    Sun, Bo; Sunkavalli, Kalyan; Ramamoorthi, Ravi; Belhumeur, Peter N; Nayar, Shree K

    2007-01-01

    The properties of virtually all real-world materials change with time, causing their bidirectional reflectance distribution functions (BRDFs) to be time varying. However, none of the existing BRDF models and databases take time variation into consideration; they represent the appearance of a material at a single time instance. In this paper, we address the acquisition, analysis, modeling, and rendering of a wide range of time-varying BRDFs (TVBRDFs). We have developed an acquisition system that is capable of sampling a material's BRDF at multiple time instances, with each time sample acquired within 36 sec. We have used this acquisition system to measure the BRDFs of a wide range of time-varying phenomena, which include the drying of various types of paints (watercolor, spray, and oil), the drying of wet rough surfaces (cement, plaster, and fabrics), the accumulation of dusts (household and joint compound) on surfaces, and the melting of materials (chocolate). Analytic BRDF functions are fit to these measurements and the model parameters' variations with time are analyzed. Each category exhibits interesting and sometimes nonintuitive parameter trends. These parameter trends are then used to develop analytic TVBRDF models. The analytic TVBRDF models enable us to apply effects such as paint drying and dust accumulation to arbitrary surfaces and novel materials.

  17. Electricity prices differences between France and Germany

    International Nuclear Information System (INIS)

    Hensing, I.; Nolden, A.; Riechmann, Ch.; Schulz, W.

    1998-01-01

    High electricity prices in Germany especially as compared to France have played an important role in the electricity liberalization debate in Germany. The price differences can largely be explained by cost differences in electricity generation, the electricity grids, personnel cost and local taxes. Further analysis suggests that efficiency improvements upon market liberalization will only partly remove these price and cost differentials. Parts of the cost differentials are attributable to politically-motivated regulations and the (future) regulation of network functions. This implies that Germany can only expect to arrive at internationally comparable electricity prices if it advances with a reform of political and monopoly regulations alongside liberalizing electricity generation and trade. (author)

  18. Nodal pricing in a coupled electricity market

    OpenAIRE

    Bjørndal, Endre; Bjørndal, Mette; Cai, Hong

    2014-01-01

    This paper investigates a pricing model for an electricity market with a hybrid congestion management method, i.e. part of the system applies a nodal pricing scheme and the rest applies a zonal pricing scheme. The model clears the zonal and nodal pricing areas simultaneously. The nodal pricing area is affected by the changes in the zonal pricing area since it is directly connected to the zonal pricing area by commercial trading. The model is tested on a 13-node power system. Within the area t...

  19. Electricity prices in the Finnish retail market

    International Nuclear Information System (INIS)

    Lehto, Eero

    2011-01-01

    This study focuses, firstly, on the pricing of electricity in the Finnish retail market. In particular, the impact of the ownership structure on prices is tested empirically. Secondly, the influence of low-cost electricity sources on retail prices is considered. The question about whether the average fuel costs rather than the wholesale price determine the retail prices is thus addressed. The supply side behaviour characterised may explain the passivity of client activity in the seemingly competitive Finnish market. - Research highlights: → Ownership has a strong impact on retail prices in the Finnish electricity market. → Locally owned companies' rates are 5-15 per cent lower than investor owned companies' rates. → Own low cost acquisition of electricity helps local firms to keep prices at low levels.

  20. The impact of electricity price changes on industrial prices and the general price level in Korea

    International Nuclear Information System (INIS)

    Lim, Seul-Ye; Yoo, Seung-Hoon

    2013-01-01

    Electricity has played an important role in the economic development of Korea and, thus, has become a critical factor in sustaining the well-being of the Korean people. This study attempts to investigate the impact of electricity price changes on industrial prices and the general price level using input–output (I–O) analysis. To this end, we apply the I–O price model to the 2011 I–O table recently produced by the Bank of Korea, paying particular attention to the electricity sector by considering it as exogenous and then investigating its impacts. The impacts of the electricity price changes on each industrial sector's prices and the general price level are quantitatively derived. For example, the overall impact of a 10% increase in electricity price on the Korean national economy is estimated to be 0.4367%. We also report the results from the model with the electricity sector endogenous and the model with endogenous electricity and labor sectors. This information can be usefully utilized in decision-making regarding price management for electricity. - Highlights: • We investigate the impact of electricity price changes on the Korean economy. • We use the input–output (I–O) analysis specifying the electricity sector as exogenous. • We apply the I–O price model to 2010 I–O table produced by the Bank of Korea. • The impact of a 10% increase in electricity price on the Korean economy is 0.2176%

  1. Marginal cost pricing of electricity

    International Nuclear Information System (INIS)

    Edsbaecker, G.

    1980-01-01

    The discipline is economics and the phenomenon is the power system. The purpose of this system is to produce, transmit and consume electricity in such a way that the sum of consumers and suppliers surplus in maximized. This is accomplished by the means of marginal cost pricing. The concepts of the power system and the relations prevailing between and among them are picked out, defined and analyzed in the frames of economic theory and operations research. Methods are developed aiming at efficient prices so that the short run function of the power system is managed in such a way that the sum of conumers and suppliers surplus is maximized within the framwork of this system, i.e. value of service of the power system is maximized. The task of developing such methods is accomplished subject to mixed production resources, transmission losses, periodic demand and also when there is lack of information concerning future and cost conditions. The main results are methods which take to account the conditions stated above. Methods not only allowing for traditional cost minimizing but also for maximation of value of service including a process of reaching optimum by gradual adaption when demand and cost curves are not known in advance. (author)

  2. A hybrid model for electricity spot prices

    International Nuclear Information System (INIS)

    Anderson, C.L.D.

    2004-01-01

    Electricity prices were highly regulated prior to the deregulation of the electric power industry. Prices were predictable, allowing generators and wholesalers to calculate their production costs and revenues. With deregulation, electricity has become the most volatile of all commodities. Electricity must be consumed as soon as it is generated due to the inability to store it in any sufficient quantity. Economic uncertainty exists because the supply of electricity cannot shift as quickly as the demand, which is highly variable. When demand increases quickly, the price must respond. Therefore, price spikes occur that are orders of magnitude higher than the base electricity price. This paper presents a robust and realistic model for spot market electricity prices used to manage risk in volatile markets. The model is a hybrid of a top down data driven method commonly used for financial applications, and a bottom up system driven method commonly used in regulated electricity markets. The advantage of the model is that it incorporates primary system drivers and demonstrates their effects on final prices. The 4 primary modules of the model are: (1) a model for forced outages, (2) a model for maintenance outages, (3) an electrical load model, and (4) a price model which combines the results of the previous 3 models. The performance of each model was tested. The forced outage model is the first of its kind to simulate the system on an aggregate basis using Weibull distributions. The overall spot price model was calibrated to, and tested with, data from the electricity market in Pennsylvania, New Jersey and Maryland. The model performed well in simulated market prices and adapted readily to changing system conditions and new electricity markets. This study examined the pricing of derivative contracts on electrical power. It also compared a range of portfolio scenarios using a Cash Flow at Risk approach

  3. A hybrid model for electricity spot prices

    Energy Technology Data Exchange (ETDEWEB)

    Anderson, C.L.D.

    2004-07-01

    Electricity prices were highly regulated prior to the deregulation of the electric power industry. Prices were predictable, allowing generators and wholesalers to calculate their production costs and revenues. With deregulation, electricity has become the most volatile of all commodities. Electricity must be consumed as soon as it is generated due to the inability to store it in any sufficient quantity. Economic uncertainty exists because the supply of electricity cannot shift as quickly as the demand, which is highly variable. When demand increases quickly, the price must respond. Therefore, price spikes occur that are orders of magnitude higher than the base electricity price. This paper presents a robust and realistic model for spot market electricity prices used to manage risk in volatile markets. The model is a hybrid of a top down data driven method commonly used for financial applications, and a bottom up system driven method commonly used in regulated electricity markets. The advantage of the model is that it incorporates primary system drivers and demonstrates their effects on final prices. The 4 primary modules of the model are: (1) a model for forced outages, (2) a model for maintenance outages, (3) an electrical load model, and (4) a price model which combines the results of the previous 3 models. The performance of each model was tested. The forced outage model is the first of its kind to simulate the system on an aggregate basis using Weibull distributions. The overall spot price model was calibrated to, and tested with, data from the electricity market in Pennsylvania, New Jersey and Maryland. The model performed well in simulated market prices and adapted readily to changing system conditions and new electricity markets. This study examined the pricing of derivative contracts on electrical power. It also compared a range of portfolio scenarios using a Cash Flow at Risk approach.

  4. Line shapes and time dynamics of the Förster resonances between two Rydberg atoms in a time-varying electric field

    KAUST Repository

    Yakshina, E. A.

    2016-10-21

    The observation of the Stark-tuned Förster resonances between Rydberg atoms excited by narrowband cw laser radiation requires usage of a Stark-switching technique in order to excite the atoms first in a fixed electric field and then to induce the interactions in a varied electric field, which is scanned across the Förster resonance. In our experiments with a few cold Rb Rydberg atoms, we have found that the transients at the edges of the electric pulses strongly affect the line shapes of the Förster resonances, since the population transfer at the resonances occurs on a time scale of ∼100 ns, which is comparable with the duration of the transients. For example, a short-term ringing at a certain frequency causes additional radio-frequency-assisted Förster resonances, while nonsharp edges lead to asymmetry. The intentional application of the radio-frequency field induces transitions between collective states, whose line shape depends on the interaction strengths and time. Spatial averaging over the atom positions in a single interaction volume yields a cusped line shape of the Förster resonance. We present a detailed experimental and theoretical analysis of the line shape and time dynamics of the Stark-tuned Förster resonances Rb(nP3/2)+Rb(nP3/2)→Rb(nS1/2)+Rb([n+1]S1/2) for two Rb Rydberg atoms interacting in a time-varying electric field.

  5. Line shapes and time dynamics of the Förster resonances between two Rydberg atoms in a time-varying electric field

    KAUST Repository

    Yakshina, E. A.; Tretyakov, D. B.; Beterov, I. I.; Entin, V. M.; Andreeva, C.; Cinins, A.; Markovski, A.; Iftikhar, Z.; Ekers, Aigars; Ryabtsev, I. I.

    2016-01-01

    The observation of the Stark-tuned Förster resonances between Rydberg atoms excited by narrowband cw laser radiation requires usage of a Stark-switching technique in order to excite the atoms first in a fixed electric field and then to induce the interactions in a varied electric field, which is scanned across the Förster resonance. In our experiments with a few cold Rb Rydberg atoms, we have found that the transients at the edges of the electric pulses strongly affect the line shapes of the Förster resonances, since the population transfer at the resonances occurs on a time scale of ∼100 ns, which is comparable with the duration of the transients. For example, a short-term ringing at a certain frequency causes additional radio-frequency-assisted Förster resonances, while nonsharp edges lead to asymmetry. The intentional application of the radio-frequency field induces transitions between collective states, whose line shape depends on the interaction strengths and time. Spatial averaging over the atom positions in a single interaction volume yields a cusped line shape of the Förster resonance. We present a detailed experimental and theoretical analysis of the line shape and time dynamics of the Stark-tuned Förster resonances Rb(nP3/2)+Rb(nP3/2)→Rb(nS1/2)+Rb([n+1]S1/2) for two Rb Rydberg atoms interacting in a time-varying electric field.

  6. Spikes and memory in (Nord Pool) electricity price spot prices

    DEFF Research Database (Denmark)

    Proietti, Tomasso; Haldrup, Niels; Knapik, Oskar

    Electricity spot prices are subject to transitory sharp movements commonly referred to as spikes. The paper aims at assessing their effects on model based inferences and predictions, with reference to the Nord Pool power exchange. We identify a spike as a price value which deviates substantially...

  7. Forecasting prices and price volatility in the Nordic electricity market

    International Nuclear Information System (INIS)

    2001-01-01

    We develop a stochastic model for long term price forecasting in a competitive electricity market environment. It is demonstrated both theoretically and through model simulations that non-stochastic models may give biased forecasts both with respect to price level and volatility. In the paper, the model concept is applied on the restructured Nordic electricity market. It is specially in peak load hours that a stochastic model formulation provides significantly different results than an expected value model. (author)

  8. Analysis of electricity price in Danish competitive electricity market

    DEFF Research Database (Denmark)

    Hu, Weihao; Chen, Zhe; Bak-Jensen, Birgitte

    2012-01-01

    electricity markets in some ways, is chosen as the studied power system. 10 year actual data from the Danish competitive electricity market are collected and analyzed. The relationship among the electricity price (both the spot price and the regulation price), the consumption and the wind power generation...... in an electricity market is investigated in this paper. The spot price and the regulation price generally decrease when the wind power penetration in the power system increases or the consumption of the power system decreases. The statistical characteristics of the spot price and the regulation price for different...... consumption periods and wind power penetration are analyzed. Simulation results show that the findings of this paper are useful for wind power generation companies to make the optimal bidding strategy so that the imbalance cost of trading wind power on the electricity market could be reduced....

  9. Ramsey prices in the Italian electricity market

    International Nuclear Information System (INIS)

    Bigerna, Simona; Bollino, Carlo Andrea

    2016-01-01

    In this paper, we derive optimal zonal prices in the Italian day-ahead electricity market using estimation of a complete system of hourly demand in 2010–2011. In Italy, the hourly equilibrium price for all buyers is computed as a uniform average of supply zonal prices, resulting from market splitting due to line congestion. We model ex-ante individual bids expressed by heterogeneous consumers, which are distinguished by geographical zones. Using empirical estimations, we compute demand elasticity values and new zonal prices, according to a Ramsey optimal scheme. This is a new approach in the wholesale electricity market literature, as previous studies have discussed the relative merit of zonal prices, considering only the issue of line congestion. Our results show that the optimal pricing scheme can improve welfare in the day-ahead Italian electricity market, with respect to both the existing uniform price scheme and the proposal to charge the existing supply zonal prices to the demand side. - Highlights: • We model and estimate the demand of heterogeneous buyers in the electricity market. • Transmission line congestion creates welfare distortions in the market. • We derive optimal Ramsey prices in the Italian day-ahead electricity market. • We compare optimal prices with historical ones showing how to improve welfare.

  10. High prices on electric power now again?

    International Nuclear Information System (INIS)

    Doorman, Gerard

    2003-01-01

    Deregulation of the electric power market has yielded low prices for the consumers throughout the 1990s. Consumption has now increased considerably, but little new production has been added. This results in high prices in dry years, but to understand this one must understand price formation in the Nordic spot market. The high prices are a powerful signal to the consumers to reduce consumption, but they are also a signal to the producers to seize any opportunity to increase production. However, the construction of new dams etc. stirs up the environmentalists. Ordinary consumers may protect themselves against high prices by signing fixed-price contracts. For those who can tolerate price fluctuations, spot prices are a better alternative than the standard contract with variable price

  11. Hedging electricity price volatility using nuclear power

    International Nuclear Information System (INIS)

    Mari, Carlo

    2014-01-01

    Highlights: • Nuclear power is an important asset to reduce the volatility of electricity prices. • Unpredictability of fossil fuels and carbon prices makes power prices very volatile. • The dynamics of fossil fuels and carbon prices is described by Brownian motions. • LCOE values, volatilities and correlations are obtained via Monte Carlo simulations. • Optimal portfolios of generating technologies are get using a mean–variance approach. - Abstract: The analysis presented in this paper aims to put in some evidence the role of nuclear power as hedging asset against the volatility of electricity prices. The unpredictability of natural gas and coal market prices as well as the uncertainty in environmental policies may affect power generating costs, thus enhancing volatility in electricity market prices. The nuclear option, allowing to generate electricity without carbon emissions, offers the possibility to reduce the volatility of electricity prices through optimal diversification of power generating technologies. This paper provides a methodological scheme to plan well diversified “portfolios” of generating capacity that minimize the electricity price risk induced by random movements of fossil fuels market prices and by unpredictable fluctuations of carbon credits prices. The analysis is developed within a stochastic environment in which the dynamics of fuel prices as well as the dynamics of carbon credits prices is assumed to evolve in time according to well defined Brownian processes. Starting from market data and using Monte Carlo techniques to simulate generating cost values, the hedging argument is developed by selecting optimal portfolio of power generating technologies using a mean–variance approach

  12. Electricity: French industrialists tied up by prices

    International Nuclear Information System (INIS)

    Jemain, A.

    2004-01-01

    With more than 50% of increase in 3 years, the electricity prices reach summits in France. The industrialists, initially enthusiastic over the promises of the liberalization of European energy markets, are today particularly disappointed and denounce an irrational logic. The reasons of these inflationary prices are explained in this article: alignment of electricity prices with respect to the prices of the less efficient producers (oil and gas power plants), lack of peak production means which induces prices volatility, a commodity market model unsuitable to electricity specificities, lack of transparency in the establishment of reference prices, no margins for negotiation, and will of Electricite de France (EdF) to restore its financial status. (J.S.)

  13. Electricity spot price dynamics: Beyond financial models

    International Nuclear Information System (INIS)

    Guthrie, Graeme; Videbeck, Steen

    2007-01-01

    We reveal properties of electricity spot prices that cannot be captured by the statistical models, commonly used to model financial asset prices, that are increasingly used to model electricity prices. Using more than eight years of half-hourly spot price data from the New Zealand Electricity Market, we find that the half-hourly trading periods fall naturally into five groups corresponding to the overnight off-peak, the morning peak, daytime off-peak, evening peak, and evening off-peak. The prices in different trading periods within each group are highly correlated with each other, yet the correlations between prices in different groups are lower. Models, adopted from the modeling of security prices, that are currently applied to electricity spot prices are incapable of capturing this behavior. We use a periodic autoregression to model prices instead, showing that shocks in the peak periods are larger and less persistent than those in off-peak periods, and that they often reappear in the following peak period. In contrast, shocks in the off-peak periods are smaller, more persistent, and die out (perhaps temporarily) during the peak periods. Current approaches to modeling spot prices cannot capture this behavior either. (author)

  14. Topics on Electricity Transmission Pricing

    Energy Technology Data Exchange (ETDEWEB)

    Bjoerndal, Mette

    2000-02-01

    Within the last decade we have experienced deregulation of several industries, such as airlines, telecommunications and the electric utility industry, the last-mentioned being the focus of this work. Both the telecommunications and the electricity sector depend on network facilities, some of which are still considered as natural monopolies. In these industries, open network access is regarded as crucial in order to achieve the gains from increased competition, and transmission tariffs are important in implementing this. Based on the Energy Act that was introduced in 1991, Norway was among the first countries to restructure its electricity sector. On the supply side there are a large number of competing firms, almost exclusively hydro plants, with a combined capacity of about 23000 MW, producing 105-125 TWh per year, depending on the availability of water. Hydro plants are characterized by low variable costs of operation, however since water may be stored in dams, water has an opportunity cost, generally known as the water value, which is the shadow price of water when solving the generator's inter temporal profit maximization problem. Water values are the main factor of the producers' short run marginal cost. Total consumption amounts to 112-117 TWh a year, and consumers, even households, may choose their electricity supplier independent of the local distributor to which the customer is connected. In fact, approximately 10% of the households have actually changed supplier. The web-site www.konkurransetilsynet.no indicates available contracts, and www.dinside.no provides an ''energy-calculator'' where one can check whether it is profitable to switch supplier. If a customer buys energy from a remote supplier, the local distributor only provides transportation facilities for the energy and is compensated accordingly. Transmission and distribution have remained monopolized and regulated by the Norwegian Water Resources and Energy

  15. Topics in Electricity Transmission Pricing

    Energy Technology Data Exchange (ETDEWEB)

    Bjoerndal, Mette

    2000-02-01

    Within the last decade we have experienced deregulation of several industries, such as airlines, telecommunications and the electric utility industry, the last-mentioned being the focus of this work. Both the telecommunications and the electricity sector depend on network facilities, some of which are still considered as natural monopolies. In these industries, open network access is regarded as crucial in order to achieve the gains from increased competition, and transmission tariffs are important in implementing this. Based on the Energy Act that was introduced in 1991, Norway was among the first countries to restructure its electricity sector. On the supply side there are a large number of competing firms, almost exclusively hydro plants, with a combined capacity of about 23000 MW, producing 105-125 TWh per year, depending on the availability of water. Hydro plants are characterized by low variable costs of operation, however since water may be stored in dams, water has an opportunity cost, generally known as the water value, which is the shadow price of water when solving the generator's inter temporal profit maximization problem. Water values are the main factor of the producers' short run marginal cost. Total consumption amounts to 112-117 TWh a year, and consumers, even households, may choose their electricity supplier independent of the local distributor to which the customer is connected. In fact, approximately 10% of the households have actually changed supplier. The web-site www.konkurransetilsynet.no indicates available contracts, and www.dinside.no provides an ''energy-calculator'' where one can check whether it is profitable to switch supplier. If a customer buys energy from a remote supplier, the local distributor only provides transportation facilities for the energy and is compensated accordingly. Transmission and distribution have remained monopolized and regulated by the Norwegian Water Resources and Energy

  16. Topics on Electricity Transmission Pricing

    International Nuclear Information System (INIS)

    Bjoerndal, Mette

    2000-02-01

    Within the last decade we have experienced deregulation of several industries, such as airlines, telecommunications and the electric utility industry, the last-mentioned being the focus of this work. Both the telecommunications and the electricity sector depend on network facilities, some of which are still considered as natural monopolies. In these industries, open network access is regarded as crucial in order to achieve the gains from increased competition, and transmission tariffs are important in implementing this. Based on the Energy Act that was introduced in 1991, Norway was among the first countries to restructure its electricity sector. On the supply side there are a large number of competing firms, almost exclusively hydro plants, with a combined capacity of about 23000 MW, producing 105-125 TWh per year, depending on the availability of water. Hydro plants are characterized by low variable costs of operation, however since water may be stored in dams, water has an opportunity cost, generally known as the water value, which is the shadow price of water when solving the generator's inter temporal profit maximization problem. Water values are the main factor of the producers' short run marginal cost. Total consumption amounts to 112-117 TWh a year, and consumers, even households, may choose their electricity supplier independent of the local distributor to which the customer is connected. In fact, approximately 10% of the households have actually changed supplier. The web-site www.konkurransetilsynet.no indicates available contracts, and www.dinside.no provides an ''energy-calculator'' where one can check whether it is profitable to switch supplier. If a customer buys energy from a remote supplier, the local distributor only provides transportation facilities for the energy and is compensated accordingly. Transmission and distribution have remained monopolized and regulated by the Norwegian Water Resources and Energy Directorate (NVE). To prevent cross

  17. Time-Varying Value of Energy Efficiency in Michigan

    Energy Technology Data Exchange (ETDEWEB)

    Mims, Natalie; Eckman, Tom; Schwartz, Lisa C.

    2018-04-02

    Quantifying the time-varying value of energy efficiency is necessary to properly account for all of its benefits and costs and to identify and implement efficiency resources that contribute to a low-cost, reliable electric system. Historically, most quantification of the benefits of efficiency has focused largely on the economic value of annual energy reduction. Due to the lack of statistically representative metered end-use load shape data in Michigan (i.e., the hourly or seasonal timing of electricity savings), the ability to confidently characterize the time-varying value of energy efficiency savings in the state, especially for weather-sensitive measures such as central air conditioning, is limited. Still, electric utilities in Michigan can take advantage of opportunities to incorporate the time-varying value of efficiency into their planning. For example, end-use load research and hourly valuation of efficiency savings can be used for a variety of electricity planning functions, including load forecasting, demand-side management and evaluation, capacity planning, long-term resource planning, renewable energy integration, assessing potential grid modernization investments, establishing rates and pricing, and customer service (KEMA 2012). In addition, accurately calculating the time-varying value of efficiency may help energy efficiency program administrators prioritize existing offerings, set incentive or rebate levels that reflect the full value of efficiency, and design new programs.

  18. Electricity price forecasting through transfer function models

    International Nuclear Information System (INIS)

    Nogales, F.J.; Conejo, A.J.

    2006-01-01

    Forecasting electricity prices in present day competitive electricity markets is a must for both producers and consumers because both need price estimates to develop their respective market bidding strategies. This paper proposes a transfer function model to predict electricity prices based on both past electricity prices and demands, and discuss the rationale to build it. The importance of electricity demand information is assessed. Appropriate metrics to appraise prediction quality are identified and used. Realistic and extensive simulations based on data from the PJM Interconnection for year 2003 are conducted. The proposed model is compared with naive and other techniques. Journal of the Operational Research Society (2006) 57, 350-356.doi:10.1057/palgrave.jors.2601995; published online 18 May 2005. (author)

  19. Industrial and residential electricity demand dynamics in Japan: How did price and income elasticities evolve from 1989 to 2014?

    International Nuclear Information System (INIS)

    Wang, Nan; Mogi, Gento

    2017-01-01

    This study estimates the price and income elasticities of industrial and residential electricity demand in Japan with the annual data from 1989 to 2014. A time varying parameter (TVP) model with the Kalman filter is applied to monitor the evolution of consumer behaviors in the “post-bubble” period given the exogenous shock (financial crisis in 2008) and the structural breaks (electricity deregulation and Fukushima Daiichi crisis). The TVP model can provide a robust estimation of elasticities and can detect the outliers and the structural breaks. The results suggest that both industrial and residential consumers become less sensitive to price after the electricity deregulation and the financial crisis, and more sensitive to price after the Fukushima Daiichi crisis. Especially the industrial sector is less sensitive to price after the retail deregulation. By contrast, the income elasticities of industrial and residential sector consumers are stable during the examined period. Results also indicate that a negative relationship exists between the price elasticity of electricity demand and the price level of electricity after the electric sector deregulation. Some insights on the further electric sector reform and the environmental taxation in Japan are also provided. - Highlights: • A time varying parameter model is calculated with the Kalman filter. • Income elasticities are stable while price elasticities are time-varying. • Industrial sector is less sensitive to price change than residential sector. • Negative relationship between price elasticity and price level is found.

  20. Electricity transmission pricing and technology

    International Nuclear Information System (INIS)

    Einhorn, M.; Siddiqi, R.

    1996-01-01

    The electric utility industry and its stake holders in the United States appear to be at a critical juncture in time. Powerful forces of global proportions are propelling the industry instinctively and in a secular fashion towards restructuring. That the industry will change is a fait accomplii. The nature and timing of the change is still a matter of intense debate, however. Because of the evolution of the industry into its present-day form, i.e. regulated local monopolies in their designated franchise service territories, the relative roles and expectations of various institutions would have to change to conform to the new state in the future. In either encouraging, or allowing this change to happen, society is essentially saying that future societal welfare would be better served by the changed structure contemplated. What that assumption translates into in more direct terms is that creation of future wealth would be better accomplished through redistribution of wealth today. Thoughtful individuals recognize the enormous responsibility placed upon the various entities empowered with jurisdiction over the timing and nature of the structural change. They are trying hard to bring analytical rigor to bear on the debate. One very critical element of this debate on restructuring is the issue of the treatment of transmission. The issue has been variously labeled transmission access, or pricing. Volumes have been written and spoken on this topic. We felt that there was a pressing need to assemble a volume which would serve as a one-stop source for varied viewpoints and comprehensive coverage of the subject, both technical and economic. 58 figs., 23 tabs., 103 refs

  1. Price volatility in wind dominant electricity markets

    DEFF Research Database (Denmark)

    Farashbashi-Astaneh, Seyed-Mostafa; Chen, Zhe

    2013-01-01

    High penetration of intermittent renewable energy sources causes price volatility in future electricity markets. This is specially the case in European countries that plan high penetration levels. This highlights the necessity for revising market regulations and mechanisms in accordance...... to generation combination portfolio. Proposed solutions should be able to tackle with emerging challenges which are mainly due to high variability and unpredictability of intermittent renewable resources. In this paper high price volatility will be introduced as an emerging challenge in wind dominant...... electricity markets. High price volatility is unappreciated because it imposes high financial risk levels to both electricity consumers and producers. Additionally high price variations impede tracking price signals by consumers in future smart grid and jeopardize implementation of demand response concepts...

  2. Crisis of prices in electrical sector

    International Nuclear Information System (INIS)

    2002-01-01

    This presentation shows the evolution of the electrical sector in Guatemala including prices, covering, market and current situation with the recent privatization of public enterprises with advantages to the consumers. Also discuss the effect of the new legislation with fiscal proposals that could produce prices distortion

  3. The evolution of price elasticity of electricity demand in South Africa: A Kalman filter application

    International Nuclear Information System (INIS)

    Inglesi-Lotz, R.

    2011-01-01

    In South Africa, the electricity mismatch of supply and demand has been of major concern. Additional to past problems, the 2008 electricity crisis made the solution crucial after its damaging consequences to the economy. The disagreement on the need and consequences of the continuous electricity price hikes worsens the situation. To contribute to the recent electricity debate, this paper proposes a time-varying price elasticity of demand for electricity; the sensitivity of electricity consumption to price fluctuations changes throughout the years. The main purpose of this study is the estimation of the price elasticity of electricity in South Africa during the period 1980-2005 by employing an advanced econometric technique, the Kalman filter. Apart from the decreasing effect of electricity prices to consumption (-71.8% in the 1990s and -94.5% in the 2000s in average), our results conclude to an important finding: the higher the prices (for example in the 1980s) the higher the sensitivity of consumers to price fluctuations. Thus, further increases of the electricity prices may lead to changes in the behaviour of electricity consumers, focusing their efforts on improving their efficiency levels by introducing demand-side management techniques or even turning to other sources of - cheaper - energy. - Highlights: → The price elasticity of South Africa's electricity demand (1980-2005) is examined. → The Kalman filter methodology is used to show elasticity changes over time. → Decreasing effect of electricity prices to consumption over the years is found. → The higher the prices of electricity were, the higher the sensitivity of consumption. → If electricity prices increase, consumers will choose to consume more efficiently.

  4. The evolution of price elasticity of electricity demand in South Africa: A Kalman filter application

    Energy Technology Data Exchange (ETDEWEB)

    Inglesi-Lotz, R., E-mail: roula.inglesi@up.ac.za [Department of Economics, EMS Building, University of Pretoria, Gauteng 0002 (South Africa)

    2011-06-15

    In South Africa, the electricity mismatch of supply and demand has been of major concern. Additional to past problems, the 2008 electricity crisis made the solution crucial after its damaging consequences to the economy. The disagreement on the need and consequences of the continuous electricity price hikes worsens the situation. To contribute to the recent electricity debate, this paper proposes a time-varying price elasticity of demand for electricity; the sensitivity of electricity consumption to price fluctuations changes throughout the years. The main purpose of this study is the estimation of the price elasticity of electricity in South Africa during the period 1980-2005 by employing an advanced econometric technique, the Kalman filter. Apart from the decreasing effect of electricity prices to consumption (-71.8% in the 1990s and -94.5% in the 2000s in average), our results conclude to an important finding: the higher the prices (for example in the 1980s) the higher the sensitivity of consumers to price fluctuations. Thus, further increases of the electricity prices may lead to changes in the behaviour of electricity consumers, focusing their efforts on improving their efficiency levels by introducing demand-side management techniques or even turning to other sources of - cheaper - energy. - Highlights: > The price elasticity of South Africa's electricity demand (1980-2005) is examined. > The Kalman filter methodology is used to show elasticity changes over time. > Decreasing effect of electricity prices to consumption over the years is found. > The higher the prices of electricity were, the higher the sensitivity of consumption. > If electricity prices increase, consumers will choose to consume more efficiently.

  5. Electricity wholesale market prices in Europe: Convergence?

    International Nuclear Information System (INIS)

    Zachmann, Georg

    2008-01-01

    This paper tests the hypothesis that the ongoing restructuring process in the European electricity sector has led to a common European market for electricity. Based on a Principal Component Analysis (PCA) of wholesale electricity prices in 2002-2006, we reject the assumption of full market integration. For several pairs of countries, the weaker hypothesis of (bilateral) convergence is accepted based on unit root tests (KPSS and ADF) and a convergence test based on filtered pairwise price relations. This indicates that the efforts to develop a single European market for electricity were so far only partially successful. We show that the daily auction prices of scarce cross-border transmission capacities are insufficient to explain the persistence of international price differentials. Empirically, our findings confirm the insufficiency of explicit capacity auctions as stated in the theoretical literature. (author)

  6. Constructing forward price curves in electricity markets

    DEFF Research Database (Denmark)

    Fleten, S.-E.; Lemming, Jørgen Kjærgaard

    2003-01-01

    We present and analyze a method for constructing approximated high-resolution forward price curves in electricity markets. Because a limited number of forward or futures contracts are traded in the market, only a limited picture of the theoretical continuous forward price curve is available...... to the analyst. Our method combines the information contained in observed bid and ask prices with information from the forecasts generated by bottom-up models. As an example, we use information concerning the shape of the seasonal variation from a bottom-up model to improve the forward price curve quoted...

  7. Constructing forward price curves in electricity markets

    International Nuclear Information System (INIS)

    Fleten, Stein-Erik; Lemming, Jacob

    2003-01-01

    We present and analyze a method for constructing approximated high-resolution forward price curves in electricity markets. Because a limited number of forward or futures contracts are traded in the market, only a limited picture of the theoretical continuous forward price curve is available to the analyst. Our method combines the information contained in observed bid and ask prices with information from the forecasts generated by bottom-up models. As an example, we use information concerning the shape of the seasonal variation from a bottom-up model to improve the forward price curve quoted on the Nordic power exchange

  8. Modeling spot markets for electricity and pricing electricity derivatives

    Science.gov (United States)

    Ning, Yumei

    Spot prices for electricity have been very volatile with dramatic price spikes occurring in restructured market. The task of forecasting electricity prices and managing price risk presents a new challenge for market players. The objectives of this dissertation are: (1) to develop a stochastic model of price behavior and predict price spikes; (2) to examine the effect of weather forecasts on forecasted prices; (3) to price electricity options and value generation capacity. The volatile behavior of prices can be represented by a stochastic regime-switching model. In the model, the means of the high-price and low-price regimes and the probabilities of switching from one regime to the other are specified as functions of daily peak load. The probability of switching to the high-price regime is positively related to load, but is still not high enough at the highest loads to predict price spikes accurately. An application of this model shows how the structure of the Pennsylvania-New Jersey-Maryland market changed when market-based offers were allowed, resulting in higher price spikes. An ARIMA model including temperature, seasonal, and weekly effects is estimated to forecast daily peak load. Forecasts of load under different assumptions about weather patterns are used to predict changes of price behavior given the regime-switching model of prices. Results show that the range of temperature forecasts from a normal summer to an extremely warm summer cause relatively small increases in temperature (+1.5%) and load (+3.0%). In contrast, the increases in prices are large (+20%). The conclusion is that the seasonal outlook forecasts provided by NOAA are potentially valuable for predicting prices in electricity markets. The traditional option models, based on Geometric Brownian Motion are not appropriate for electricity prices. An option model using the regime-switching framework is developed to value a European call option. The model includes volatility risk and allows changes

  9. Modelling prices in competitive electricity markets

    International Nuclear Information System (INIS)

    Bunn, D.W.

    2004-04-01

    Electricity markets are structurally different to other commodities, and the real-time dynamic balancing of the electricity network involves many external factors. Because of this, it is not a simple matter to transfer conventional models of financial time series analysis to wholesale electricity prices. The rationale for this compilation of chapters from international authors is, therefore, to provide econometric analysis of wholesale power markets around the world, to give greater understanding of their particular characteristics, and to assess the applicability of various methods of price modelling. Researchers and professionals in this sector will find the book an invaluable guide to the most important state-of-the-art modelling techniques which are converging to define the special approaches necessary for unravelling and forecasting the behaviour of electricity prices. It is a high-quality synthesis of the work of financial engineering, industrial economics and power systems analysis, as they relate to the behaviour of competitive electricity markets. (author)

  10. Short run pricing in competitive electricity markets

    International Nuclear Information System (INIS)

    Ring, B. J.; Read, E. G.

    1996-01-01

    In response to the need for more responsive, competitive and decentralized pricing strategies forced upon the industry by deregulation, this study reviewed the type of electricity pricing required to coordinate a competitive wholesale electricity market over time periods typically of the order of one hour. It was found that nodal spot pricing can provide a straight-forward mechanism for providing the correct signals to market participants, while reflecting the costs and complexities of transmission network operation. Provided that all binding constraints are represented in the pricing model, and assuming that they are used in conjunction with long term contracts and capacity rights, such pricing can potentially deliver most of the benefits promised by perfect coordination, while allowing competition to flourish. 4 refs

  11. An electricity price model with consideration to load and gas price effects.

    Science.gov (United States)

    Huang, Min-xiang; Tao, Xiao-hu; Han, Zhen-xiang

    2003-01-01

    Some characteristics of the electricity load and prices are studied, and the relationship between electricity prices and gas (fuel) prices is analyzed in this paper. Because electricity prices are strongly dependent on load and gas prices, the authors constructed a model for electricity prices based on the effects of these two factors; and used the Geometric Mean Reversion Brownian Motion (GMRBM) model to describe the electricity load process, and a Geometric Brownian Motion(GBM) model to describe the gas prices; deduced the price stochastic process model based on the above load model and gas price model. This paper also presents methods for parameters estimation, and proposes some methods to solve the model.

  12. Pricing of electricity tariffs in competitive markets

    International Nuclear Information System (INIS)

    Keppo, J.; Raesaenen, M.

    1999-01-01

    In many countries electricity supply business has been opened for competition. In this paper we analyze the problem of pricing of electricity tariffs in these open markets, when both the customers' electricity consumption and the market price are stochastic processes. Specifically, we focus on regular tariff contracts which do not have explicit amounts of consumption units defined in the contracts. Therefore the valuation process of these contracts differs from the valuation of electricity futures and options. The results show that the more there is uncertainty about the customer's consumption, the higher the fixed charge of the tariff contract should be. Finally, we analyze the indication of our results to the different methods for estimating the customer's consumption in the competitive markets. Since the consumption uncertainties enter into the tariff prices, the analysis indicates that the deterministic standard load curves do not provide efficient methods for evaluating the customers' consumption in competitive markets

  13. A Reasonable Price for Electricity

    NARCIS (Netherlands)

    Pront-van Bommel, S.

    2016-01-01

    Over the past decade, consumers’ electricity costs have risen disproportionally compared with the average inflation rate, mostly as the result of increased network tariffs and taxes. This development appears to be at odds with the stated purpose of introducing competition into the electricity sector

  14. Market prices for solar electricity in Ontario

    International Nuclear Information System (INIS)

    Rowlands, I.H.

    2006-01-01

    The Ontario electricity supply is facing considerable challenges while demand is increasing due to a growing population and increased economic growth needs. In response to these challenges, the government of Ontario established the Ontario Power Authority (OPA) in 2004 to ensure adequate, reliable and secure electricity supply and resources in Ontario. The OPA has also engaged in activities to facilitate the diversification of sources of electricity supply by promoting the use of cleaner energy sources and technologies, including alternative energy sources and renewable energy. The purpose of this paper was to advance discussions regarding the contribution that solar PV can make to Ontario's supply mix. In particular, it determined the value of the electricity that would have been produced by a PV system located in Waterloo, Ontario under the following 4 pricing regimes: (1) the conventional small user tariff system currently in place in Ontario, (2) the time-of-use pricing system that is voluntarily available to those who have smart meters installed in their facilities, (3) the spot market, hourly prices, to which some of Ontario's largest electricity users are exposed, and (4) the recently-proposed rate for standard offer contracts for PV systems. The study showed that a solar PV system that produces 3,000 kWh of electricity over the course of a year would generate different revenue amounts, ranging from the smallest amount of approximately $174.00 to $1,260.00, depending on the pricing regime. The pricing regime that reflects real, time-of-day electricity prices appears to be most advantageous to solar PV systems. It was recommended that additional work is needed regarding the other benefits of solar PV, such as avoided capacity/generation needs, avoided transmission and distribution cost and losses, environmental benefits, and job creation. 3 refs., 4 tabs., 8 figs

  15. Forecasting Long-Run Electricity Prices

    International Nuclear Information System (INIS)

    Hamm, Gregory; Borison, Adam

    2006-01-01

    Estimation of long-run electricity prices is extremely important but it is also very difficult because of the many uncertainties that will determine future prices, and because of the lack of sufficient historical and forwards data. The difficulty is compounded when forecasters ignore part of the available information or unnecessarily limit their thinking about the future. The authors present a practical approach that addresses these problems. (author)

  16. The plunge in German electricity futures prices – Analysis using a parsimonious fundamental model

    International Nuclear Information System (INIS)

    Kallabis, Thomas; Pape, Christian; Weber, Christoph

    2016-01-01

    The German market has seen a plunge in wholesale electricity prices from 2007 until 2014, with base futures prices dropping by more than 40%. This is frequently attributed to the unexpected high increase in renewable power generation. Using a parsimonious fundamental model, we determine the respective impact of supply and demand shocks on electricity futures prices. The used methodology is based on a piecewise linear approximation of the supply stack and time-varying price-inelastic demand. This parsimonious model is able to replicate electricity futures prices and discover non-linear dependencies in futures price formation. We show that emission prices have a higher impact on power prices than renewable penetration. Changes in renewables, demand and installed capacities turn out to be similarly important for explaining the decrease in operation margins of conventional power plants. We thus argue for the establishment of an independent authority to stabilize emission prices. - Highlights: •We build a parsimonious fundamental model based on a piecewise linear bid stack. •We use the model to investigate impact factors for the plunge in German futures prices. •Largest impact by CO_2 price developments followed by demand and renewable feed-in. •Power plant operating profits strongly affected by demand and renewables. •We argue that stabilizing CO_2 emission prices could provide better market signals.

  17. Lowering electricity prices through deregulation

    OpenAIRE

    Thomas Klitgaard; Rekha Reddy

    2000-01-01

    A wave of regulatory reform is now transforming the U.S. electricity industry. As state and federal authorities allow independent power producers to compete with utilities in supplying electricity, consumers are paying close attention to the effects of this change on their energy bills. Although deregulation poses significant structural challenges, the introduction of competitive pressures should ultimately lead to efficiency gains for the industry and cost savings for households and businesses.

  18. Electricity prices and generator behaviour in gross pool electricity markets

    International Nuclear Information System (INIS)

    O'Mahoney, Amy; Denny, Eleanor

    2013-01-01

    Electricity market liberalisation has become common practice internationally. The justification for this process has been to enhance competition in a market traditionally characterised by statutory monopolies in an attempt to reduce costs to end-users. This paper endeavours to see whether a pool market achieves this goal of increasing competition and reducing electricity prices. Here the electricity market is set up as a sealed bid second price auction. Theory predicts that such markets should result with firms bidding their marginal cost, thereby resulting in an efficient outcome and lower costs to consumers. The Irish electricity system with a gross pool market experiences among the highest electricity prices in Europe. Thus, we analyse the Irish pool system econometrically in order to test if the high electricity prices seen there are due to participants bidding outside of market rules or out of line with theory. Overall we do not find any evidence that the interaction between generator and the pool in the Irish electricity market is not efficient. Thus, the pool element of the market structure does not explain the high electricity prices experienced in Ireland. - Highlights: • We consider whether a gross pool achieves competitive behaviour. • We analyse the Irish pool system econometrically. • Results indicate the Irish pool system appears to work efficiently. • Generators appear to be bidding appropriately

  19. Economic analysis of electric heating based on critical electricity price

    Science.gov (United States)

    Xie, Feng; Sun, Zhijie; Zhou, Xinnan; Fu, Chengran; Yang, Jie

    2018-06-01

    The State Grid Corporation of China proposes an alternative energy strategy, which will make electric heating an important task in the field of residential electricity consumption. This article takes this as the background, has made the detailed introduction to the inhabitant electric heating technology, and take the Zhangjiakou electric panels heating technology as an example, from the expense angle, has carried on the analysis to the electric panels heating economy. In the field of residential heating, electric panels operating costs less than gas boilers. After customers implying energy-saving behavior, electric panels operating cost is even lower than coal-fired boilers. The critical price is higher than the execution price, which indicates that the economic performance of the electric panels is significantly higher than that of the coal boiler.

  20. Pricing and Application of Electric Storage

    Science.gov (United States)

    Zhao, Jialin

    Electric storage provides a vehicle to store power for future use. It contributes to the grids in multiple aspects. For instance, electric storage is a more effective approach to provide electricity ancillary services than conventional methods. Additionally, electric storage, especially fast-responding units, allows owners to implement high-frequency power transactions in settings such as the 5-min real-time trading market. Such high-frequency power trades were limited in the past. However, as technology advances, the power markets have evolved. For instance, the California Independent System Operator now supports the 5-min real-time trading and the hourly day-ahead ancillary services bidding. Existing valuation models of electric storage were not designed to accommodate these recent market developments. To fill this gap, I focus on the fast-responding grid-level electric storage that provides both the real-time trading and the day-ahead ancillary services bidding. To evaluate such an asset, I propose a Monte Carlo Simulation-based valuation model. The foundation of my model is simulations of power prices. This study develops a new simulation model of electric prices. It is worth noting that, unlike existing models, my proposed simulation model captures the dependency of the real-time markets on the day-ahead markets. Upon such simulations, this study investigates the pricing and the application of electric storage at a 5-min granularity. Essentially, my model is a Dynamic Programming system with both endogenous variables (i.e., the State-of-Charge of electric storage) and exogenous variables (i.e., power prices). My first numerical example is the valuation of a fictitious 4MWh battery. Similarly, my second example evaluates the application of two units of 2MWh batteries. By comparing these two experiments, I investigate the issues related to battery configurations, such as the impacts of splitting storage capability on the valuation of electric storage.

  1. Essays on pricing electricity and electricity derivatives in deregulated markets

    Science.gov (United States)

    Popova, Julia

    2008-10-01

    This dissertation is composed of four essays on the behavior of wholesale electricity prices and their derivatives. The first essay provides an empirical model that takes into account the spatial features of a transmission network on the electricity market. The spatial structure of the transmission grid plays a key role in determining electricity prices, but it has not been incorporated into previous empirical models. The econometric model in this essay incorporates a simple representation of the transmission system into a spatial panel data model of electricity prices, and also accounts for the effect of dynamic transmission system constraints on electricity market integration. Empirical results using PJM data confirm the existence of spatial patterns in electricity prices and show that spatial correlation diminishes as transmission lines become more congested. The second essay develops and empirically tests a model of the influence of natural gas storage inventories on the electricity forward premium. I link a model of the effect of gas storage constraints on the higher moments of the distribution of electricity prices to a model of the effect of those moments on the forward premium. Empirical results using PJM data support the model's predictions that gas storage inventories sharply reduce the electricity forward premium when demand for electricity is high and space-heating demand for gas is low. The third essay examines the efficiency of PJM electricity markets. A market is efficient if prices reflect all relevant information, so that prices follow a random walk. The hypothesis of random walk is examined using empirical tests, including the Portmanteau, Augmented Dickey-Fuller, KPSS, and multiple variance ratio tests. The results are mixed though evidence of some level of market efficiency is found. The last essay investigates the possibility that previous researchers have drawn spurious conclusions based on classical unit root tests incorrectly applied to

  2. Long-term projections for electricity and gas prices

    International Nuclear Information System (INIS)

    Borggrefe, Frieder; Lochner, Stefan

    2009-01-01

    The article analyses potential developments of wholesale electricity prices in Germany until 2030. The relevant determinants and their effects on prices are shown. Several projections demonstrate the impact of future fuel prices taking the political framework into account. The importance of carbon and gas prices - and the latter's relationship to oil prices - are discussed extensively. Although forecasting electricity prices is associated with great uncertainties, the article illustrates the relative impacts of the various price determinants and their interactions. (orig.)

  3. Price Based Electric Vehicle Charging

    DEFF Research Database (Denmark)

    Mahat, Pukar; Handl, Martin; Kanstrup, Kenneth

    2012-01-01

    It is expected that a lot of the new light vehicles in the future will be electrical vehicles (EV). The storage capacity of these EVs has the potential to complement renewable energy resources and mitigate its intermittency. However, EV charging may have negative impact on the power grid. This pa......It is expected that a lot of the new light vehicles in the future will be electrical vehicles (EV). The storage capacity of these EVs has the potential to complement renewable energy resources and mitigate its intermittency. However, EV charging may have negative impact on the power grid...... method where distribution system operator (DSO) optimizes the cost of EV charging while taking substation transformer capacity into account....

  4. Renewable Energy and Electricity Prices in Spain

    OpenAIRE

    Liliana Gelabert; Xavier Labandeira; Pedro Linares

    2011-01-01

    Growing concerns about climate change and energy dependence are driving specific policies to support renewable or more efficient energy sources in many regions, particularly in the production of electricity. These policies have a non-negligible cost, and therefore a careful assessment of their impacts seems necessary. In particular, one of the most-debated impacts is their effect on electricity prices, for which there have been some ex-ante studies, but few ex-post studies. This article prese...

  5. Pricing Electricity in Pools With Wind Producers

    DEFF Research Database (Denmark)

    Morales González, Juan Miguel; Conejo, A. J.; Kai Liu

    2012-01-01

    This paper considers an electricity pool that includes a significant number of wind producers and is cleared through a network-constrained auction, one day in advance and on an hourly basis. The hourly auction is formulated as a two-stage stochastic programming problem, where the first stage...... represents the clearing of the market and the second stage models the system operation under a number of plausible wind production realizations. This formulation co-optimizes energy and reserve, and allows deriving both pool energy prices and balancing energy prices. These prices result in both cost recovery...... for producers and revenue reconciliation. A case study of realistic size is used to illustrate the functioning of the proposed pricing scheme....

  6. The compass rose pattern in electricity prices.

    Science.gov (United States)

    Batten, Jonathan A; Hamada, Mahmoud

    2009-12-01

    The "compass rose pattern" is known to appear in the phase portraits, or scatter diagrams, of the high-frequency returns of financial series. We first show that this pattern is also present in the returns of spot electricity prices. Early researchers investigating these phenomena hoped that these patterns signaled the presence of rich dynamics, possibly chaotic or fractal in nature. Although there is a definite autoregressive and conditional heteroscedasticity structure in electricity returns, we find that after simple filtering no pattern remains. While the series is non-normal in terms of their distribution and statistical tests fail to identify significant chaos, there is evidence of fractal structures in periodic price returns when measured over the trading day. The phase diagram of the filtered returns provides a useful visual check on independence, a property necessary for pricing and trading derivatives and portfolio construction, as well as providing useful insights into the market dynamics.

  7. Forecasting of electricity prices with neural networks

    Energy Technology Data Exchange (ETDEWEB)

    Gareta, Raquel [Centro de Investigacion de Recursos y Consumos Energeticos (CIRCE), Universidad de Zaragoza, Centro Politecnico Superior, Maria de Luna, 3, 50018 Zaragoza (Spain); Romeo, Luis M. [Centro de Investigacion de Recursos y Consumos Energeticos (CIRCE), Universidad de Zaragoza, Centro Politecnico Superior, Maria de Luna, 3, 50018 Zaragoza (Spain)]. E-mail: luismi@unizar.es; Gil, Antonia [Centro de Investigacion de Recursos y Consumos Energeticos (CIRCE), Universidad de Zaragoza, Centro Politecnico Superior, Maria de Luna, 3, 50018 Zaragoza (Spain)

    2006-08-15

    During recent years, the electricity energy market deregulation has led to a new free competition situation in Europe and other countries worldwide. Generators, distributors and qualified clients have some uncertainties about the future evolution of electricity markets. In consequence, feasibility studies of new generation plants, design of new systems and energy management optimization are frequently postponed. The ability of forecasting energy prices, for instance the electricity prices, would be highly appreciated in order to improve the profitability of utility investments. The development of new simulation techniques, such as Artificial Intelligence (AI), has provided a good tool to forecast time series. In this paper, it is demonstrated that the Neural Network (NN) approach can be used to forecast short term hourly electricity pool prices (for the next day and two or three days after). The NN architecture and design for prices forecasting are described in this paper. The results are tested with extensive data sets, and good agreement is found between actual data and NN results. This methodology could help to improve power plant generation capacity management and, certainly, more profitable operation in daily energy pools.

  8. Forecasting of electricity prices with neural networks

    International Nuclear Information System (INIS)

    Gareta, Raquel; Romeo, Luis M.; Gil, Antonia

    2006-01-01

    During recent years, the electricity energy market deregulation has led to a new free competition situation in Europe and other countries worldwide. Generators, distributors and qualified clients have some uncertainties about the future evolution of electricity markets. In consequence, feasibility studies of new generation plants, design of new systems and energy management optimization are frequently postponed. The ability of forecasting energy prices, for instance the electricity prices, would be highly appreciated in order to improve the profitability of utility investments. The development of new simulation techniques, such as Artificial Intelligence (AI), has provided a good tool to forecast time series. In this paper, it is demonstrated that the Neural Network (NN) approach can be used to forecast short term hourly electricity pool prices (for the next day and two or three days after). The NN architecture and design for prices forecasting are described in this paper. The results are tested with extensive data sets, and good agreement is found between actual data and NN results. This methodology could help to improve power plant generation capacity management and, certainly, more profitable operation in daily energy pools

  9. Dynamic electricity pricing for electric vehicles using stochastic programming

    International Nuclear Information System (INIS)

    Soares, João; Ghazvini, Mohammad Ali Fotouhi; Borges, Nuno; Vale, Zita

    2017-01-01

    Electric Vehicles (EVs) are an important source of uncertainty, due to their variable demand, departure time and location. In smart grids, the electricity demand can be controlled via Demand Response (DR) programs. Smart charging and vehicle-to-grid seem highly promising methods for EVs control. However, high capital costs remain a barrier to implementation. Meanwhile, incentive and price-based schemes that do not require high level of control can be implemented to influence the EVs' demand. Having effective tools to deal with the increasing level of uncertainty is increasingly important for players, such as energy aggregators. This paper formulates a stochastic model for day-ahead energy resource scheduling, integrated with the dynamic electricity pricing for EVs, to address the challenges brought by the demand and renewable sources uncertainty. The two-stage stochastic programming approach is used to obtain the optimal electricity pricing for EVs. A realistic case study projected for 2030 is presented based on Zaragoza network. The results demonstrate that it is more effective than the deterministic model and that the optimal pricing is preferable. This study indicates that adequate DR schemes like the proposed one are promising to increase the customers' satisfaction in addition to improve the profitability of the energy aggregation business. - Highlights: • A stochastic model for energy scheduling tackling several uncertainty sources. • A two-stage stochastic programming is used to tackle the developed model. • Optimal EV electricity pricing seems to improve the profits. • The propose results suggest to increase the customers' satisfaction.

  10. Time-varying Crash Risk

    DEFF Research Database (Denmark)

    Christoffersen, Peter; Feunoua, Bruno; Jeon, Yoontae

    We estimate a continuous-time model with stochastic volatility and dynamic crash probability for the S&P 500 index and find that market illiquidity dominates other factors in explaining the stock market crash risk. While the crash probability is time-varying, its dynamic depends only weakly on re...

  11. On the electricity shortage, price and electricity theft nexus

    International Nuclear Information System (INIS)

    Jamil, Faisal

    2013-01-01

    Pakistan is facing severe electricity shortfall of its history since 2006. Several measures have been implemented in order to mitigate electricity shortage. The focus has been on raising the installed capacity of electricity generation and transmission. The present policy results in expensive thermal electricity generation mostly using expensive and environmentally hazardous furnace oil and inability of utilities to recover their cost of supply although there is unprecedented rise in electricity tariffs. This study concentrates on the electricity demand and traces the relationship between electricity shortfalls, tariff rate and electricity theft in the background of recent electricity crisis using the data for the period 1985–2010. We employed the Granger causality test through error correction model and out-of-sample causality through variance decomposition method. Empirical evidence shows that electricity theft greatly influences electricity shortfalls through lowering investment and inefficient use of electricity. The study concludes that electricity crisis cannot be handled without combating rampant electricity theft in the country. - Highlights: ► The study investigates relationship among electricity outages, price and electricity theft. ► It employed Johansen approach, ECM and variance decomposition analysis. ► Empirical evidence shows that electricity theft causes outages and rising tariff rates. ► Variance decomposition analysis results are slightly different from ECM

  12. Markets and pricing for interruptible electric power

    International Nuclear Information System (INIS)

    Gedra, T.W.; Varaiya, P.P.

    1993-01-01

    The authors propose a market for interruptible, or callable, forward contracts for electric power, in which the consumer grants the power supplier the right to interrupt a given unit of load in return for a price discount. The callable forward contracts are traded continuously until the time of use. This allows recourse for those customers with uncertain demand, while risk-averse consumers can minimize their price risk by purchasing early. Callable forward contracts are simple in form, and can be directly incorporated into the utility's economic dispatch procedure

  13. Do Canadian electricity prices reflect costs?

    International Nuclear Information System (INIS)

    Jaccard, M.

    1993-01-01

    In an article by Cairns and Heyes (1993), it is argued that electricity pricing in Canada diverges from cost due to inter-class rate design that results in cross-subsidies, subsidized cost of capital, intra-class rate design that lacks time-of-use pricing, and failure to collect differential rent. Some problems with the key components of the initial assumption that prices diverge from cost are examined. The premise that inter-class rate design results in cross-subsidies may be correct, but is difficult to test since unregulated crown utilities are not required to make the necessary information public. Cairns and Heyes are on firmer ground in their assertion that provincial government backing of utility debts leads to lower costs of capital than would otherwise occur. Quebec and British Columbia governments have recently undertaken revenue collection initiatives justified under the rationale of addressing this situation. However, there are problems with the assumption that lack of time-of-use pricing indicates cost/price divergence, since such pricing is especially relevant in capacity-critical systems. Most hydroelectric systems are energy-critical and time-of-use differentials are not appropriate. Finally, recent evidence suggests reassessing the differential rent assumptions of the 1980s. The economic rents estimated in that period may be more accurately described as windfall rents existing in the short term while markets adjust to erratic fuel prices and cost changes in nuclear and hydro energy. There may be good economic efficiency arguments against short-term rent collection strategies involving erratic price adjustments. 1 ref

  14. Carbon pricing, nuclear power and electricity markets

    Energy Technology Data Exchange (ETDEWEB)

    Cameron, R.; Keppler, J. H. [OECD Nuclear Energy Agency, 12, boulevard des Iles, 92130 Issy-les-Moulineaux (France)

    2012-07-01

    In 2010, the NEA in conjunction with the International Energy Agency produced an analysis of the Projected Costs of Electricity for almost 200 power plants, covering nuclear, fossil fuel and renewable electricity generation. That analysis used lifetime costs to consider the merits of each technology. However, the lifetime cost analysis is less applicable in liberalised markets and does not look specifically at the viewpoint of the private investor. A follow-up NEA assessment of the competitiveness of nuclear energy against coal- and gas-fired generation under carbon pricing has considered just this question. The economic competition in electricity markets is today between nuclear energy and gas-fired power generation, with coal-fired power generation not being competitive as soon as even modest carbon pricing is introduced. Whether nuclear energy or natural gas comes out ahead in their competition depends on a number of assumptions, which, while all entirely reasonable, yield very different outcomes. The analysis in this study has been developed on the basis of daily data from European power markets over the last five-year period. Three different methodologies, a Profit Analysis looking at historic returns over the past five years, an Investment Analysis projecting the conditions of the past five years over the lifetime of plants and a Carbon Tax Analysis (differentiating the Investment Analysis for different carbon prices) look at the issue of competitiveness from different angles. They show that the competitiveness of nuclear energy depends on a number of variables which in different configurations determine whether electricity produced from nuclear power or from CCGTs generates higher profits for its investors. These are overnight costs, financing costs, gas prices, carbon prices, profit margins (or mark-ups), the amount of coal with carbon capture and electricity prices. This paper will present the outcomes of the analysis in the context of a liberalised

  15. Carbon pricing, nuclear power and electricity markets

    International Nuclear Information System (INIS)

    Cameron, R.; Keppler, J. H.

    2012-01-01

    In 2010, the NEA in conjunction with the International Energy Agency produced an analysis of the Projected Costs of Electricity for almost 200 power plants, covering nuclear, fossil fuel and renewable electricity generation. That analysis used lifetime costs to consider the merits of each technology. However, the lifetime cost analysis is less applicable in liberalised markets and does not look specifically at the viewpoint of the private investor. A follow-up NEA assessment of the competitiveness of nuclear energy against coal- and gas-fired generation under carbon pricing has considered just this question. The economic competition in electricity markets is today between nuclear energy and gas-fired power generation, with coal-fired power generation not being competitive as soon as even modest carbon pricing is introduced. Whether nuclear energy or natural gas comes out ahead in their competition depends on a number of assumptions, which, while all entirely reasonable, yield very different outcomes. The analysis in this study has been developed on the basis of daily data from European power markets over the last five-year period. Three different methodologies, a Profit Analysis looking at historic returns over the past five years, an Investment Analysis projecting the conditions of the past five years over the lifetime of plants and a Carbon Tax Analysis (differentiating the Investment Analysis for different carbon prices) look at the issue of competitiveness from different angles. They show that the competitiveness of nuclear energy depends on a number of variables which in different configurations determine whether electricity produced from nuclear power or from CCGTs generates higher profits for its investors. These are overnight costs, financing costs, gas prices, carbon prices, profit margins (or mark-ups), the amount of coal with carbon capture and electricity prices. This paper will present the outcomes of the analysis in the context of a liberalised

  16. Predicting Baseline for Analysis of Electricity Pricing

    Energy Technology Data Exchange (ETDEWEB)

    Kim, T. [Ulsan National Inst. of Science and Technology (Korea, Republic of); Lee, D. [Ulsan National Inst. of Science and Technology (Korea, Republic of); Choi, J. [Ulsan National Inst. of Science and Technology (Korea, Republic of); Spurlock, A. [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Sim, A. [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Todd, A. [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Wu, K. [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)

    2016-05-03

    To understand the impact of new pricing structure on residential electricity demands, we need a baseline model that captures every factor other than the new price. The standard baseline is a randomized control group, however, a good control group is hard to design. This motivates us to devlop data-driven approaches. We explored many techniques and designed a strategy, named LTAP, that could predict the hourly usage years ahead. The key challenge in this process is that the daily cycle of electricity demand peaks a few hours after the temperature reaching its peak. Existing methods rely on the lagged variables of recent past usages to enforce this daily cycle. These methods have trouble making predictions years ahead. LTAP avoids this trouble by assuming the daily usage profile is determined by temperature and other factors. In a comparison against a well-designed control group, LTAP is found to produce accurate predictions.

  17. Price schedules coordination for electricity pool markets

    Science.gov (United States)

    Legbedji, Alexis Motto

    2002-04-01

    augmented or nonlinear pricing, which is an example of the use of penalty functions in mathematical programming. Applications are drawn from mathematical programming problems of the form arising in electric power system scheduling under competition.

  18. Analysis of relationships between hourly electricity price and load in deregulated real-time power markets

    International Nuclear Information System (INIS)

    Lo, K.L.; Wu, Y.K.

    2004-01-01

    Risk management in the electric power industry involves measuring the risk for all instruments owned by a company. The value of many of these instruments depends directly on electricity prices. In theory, the wholesale price in a real-time market should reflect the short-run marginal cost. However, most markets are not perfectly competitive, therefore by understanding the degree of correlation between price and physical drivers, electric traders and consumers can manage their risk more effectively and efficiently. Market data from two power-pool architectures, both pre-2003 ISO-NE and Australia's NEM, have been studied. The dynamic character of electricity price is mean-reverting, and consists of intra-day and weekly variations, seasonal fluctuations, and instant jumps. Parts of them are affected by load demands. Hourly signals on both price and load are divided into deterministic and random components with a discrete Fourier transform algorithm. Next, the real-time price-load relationship for periodic and random signals is examined. In addition, time-varying volatility models are constructed on random price and random load with the GARCH model, and the correlation between them analysed. Volatility plays a critical role on evaluating option pricing and risk management. (author)

  19. Electric power transmission pricing regulations and efficiency

    International Nuclear Information System (INIS)

    Goldoni, G.

    1999-01-01

    An efficient-price mechanism for electricity transmission is very hard to find, essentially because of the natural monopoly condition of the grid and its peculiar interactions with generation. The use of Optimal Power Flow Models is difficult to implement and could be easily distorted by strategical behaviour of generators. These models, however, could became a valuable efficiency-test for actual transmission charges and codes [it

  20. Combined natural gas and electricity network pricing

    Energy Technology Data Exchange (ETDEWEB)

    Morais, M.S.; Marangon Lima, J.W. [Universidade Federal de Itajuba, Rua Dr. Daniel de Carvalho, no. 296, Passa Quatro, Minas Gerais, CEP 37460-000 (Brazil)

    2007-04-15

    The introduction of competition to electricity generation and commercialization has been the main focus of many restructuring experiences around the world. The open access to the transmission network and a fair regulated tariff have been the keystones for the development of the electricity market. Parallel to the electricity industry, the natural gas business has great interaction with the electricity market in terms of fuel consumption and energy conversion. Given that the transmission and distribution monopolistic activities are very similar to the natural gas transportation through pipelines, economic regulation related to the natural gas network should be coherent with the transmission counterpart. This paper shows the application of the main wheeling charge methods, such as MW/gas-mile, invested related asset cost (IRAC) and Aumman-Shapley allocation, to both transmission and gas network. Stead-state equations are developed to adequate the various pricing methods. Some examples clarify the results, in terms of investments for thermal generation plants and end consumers, when combined pricing methods are used for transmission and gas networks. The paper also shows that the synergies between gas and electricity industry should be adequately considered, otherwise wrong economic signals are sent to the market players. (author)

  1. Model documentation: Electricity market module, electricity finance and pricing submodule

    Energy Technology Data Exchange (ETDEWEB)

    1994-04-07

    The purpose of this report is to define the objectives of the model, describe its basic approach, and provide detail on how it works. The EFP is a regulatory accounting model that projects electricity prices. The model first solves for revenue requirements by building up a rate base, calculating a return on rate base, and adding the allowed expenses. Average revenues (prices) are calculated based on assumptions regarding regulator lag and customer cost allocation methods. The model then solves for the internal cash flow and analyzes the need for external financing to meet necessary capital expenditures. Finally, the EFP builds up the financial statements. The EFP is used in conjunction with the National Energy Modeling System (NEMS). Inputs to the EFP include the forecast generating capacity expansion plans, operating costs, regulator environment, and financial data. The outputs include forecasts of income statements, balance sheets, revenue requirements, and electricity prices.

  2. A robust multivariate long run analysis of European electricity prices

    OpenAIRE

    Bruno Bosco; Lucia Parisio; Matteo Pelagatti; Fabio Baldi

    2007-01-01

    This paper analyses the interdependencies existing in wholesale electricity prices in six major European countries. The results of our robust multivariate long run dynamic analysis reveal the presence of four highly integrated central European markets (France, Germany, the Netherlands and Austria). The trend shared by these four electricity markets appears to be common also to gas prices, but not to oil prices. The existence of long term dynamics among electricity prices and between electrici...

  3. Economic analysis of coal price-electricity price adjustment in China based on the CGE model

    International Nuclear Information System (INIS)

    He, Y.X.; Zhang, S.L.; Yang, L.Y.; Wang, Y.J.; Wang, J.

    2010-01-01

    In recent years, coal price has risen rapidly, which has also brought a sharp increase in the expenditures of thermal power plants in China. Meantime, the power production price and power retail price have not been adjusted accordingly and a large number of thermal power plants have incurred losses. The power industry is a key industry in the national economy. As such, a thorough analysis and evaluation of the economic influence of the electricity price should be conducted before electricity price adjustment is carried out. This paper analyses the influence of coal price adjustment on the electric power industry, and the influence of electricity price adjustment on the macroeconomy in China based on computable general equilibrium models. The conclusions are as follows: (1) a coal price increase causes a rise in the cost of the electric power industry, but the influence gradually descends with increase in coal price; and (2) an electricity price increase has an adverse influence on the total output, Gross Domestic Product (GDP), and the Consumer Price Index (CPI). Electricity price increases have a contractionary effect on economic development and, consequently, electricity price policy making must consequently consider all factors to minimize their adverse influence.

  4. Electricity market pricing, risk hedging and modeling

    Science.gov (United States)

    Cheng, Xu

    In this dissertation, we investigate the pricing, price risk hedging/arbitrage, and simplified system modeling for a centralized LMP-based electricity market. In an LMP-based market model, the full AC power flow model and the DC power flow model are most widely used to represent the transmission system. We investigate the differences of dispatching results, congestion pattern, and LMPs for the two power flow models. An appropriate LMP decomposition scheme to quantify the marginal costs of the congestion and real power losses is critical for the implementation of financial risk hedging markets. However, the traditional LMP decomposition heavily depends on the slack bus selection. In this dissertation we propose a slack-independent scheme to break LMP down into energy, congestion, and marginal loss components by analyzing the actual marginal cost of each bus at the optimal solution point. The physical and economic meanings of the marginal effect at each bus provide accurate price information for both congestion and losses, and thus the slack-dependency of the traditional scheme is eliminated. With electricity priced at the margin instead of the average value, the market operator typically collects more revenue from power sellers than that paid to power buyers. According to the LMP decomposition results, the revenue surplus is then divided into two parts: congestion charge surplus and marginal loss revenue surplus. We apply the LMP decomposition results to the financial tools, such as financial transmission right (FTR) and loss hedging right (LHR), which have been introduced to hedge against price risks associated to congestion and losses, to construct a full price risk hedging portfolio. The two-settlement market structure and the introduction of financial tools inevitably create market manipulation opportunities. We investigate several possible market manipulation behaviors by virtual bidding and propose a market monitor approach to identify and quantify such

  5. Structural and behavioural foundations of competitive electricity prices

    International Nuclear Information System (INIS)

    Bunn, D.W.

    2004-01-01

    This chapter presents a basic introduction to price formation in the new electricity markets and examines power system economics and electricity market liberalisation. Topics discussed include wholesale electricity prices, the case of gas, the effect of the instantaneous nature of the electricity product, spot markets for electricity, and the ability of industrial companies to influence prices. Market fundamentals are reviewed, and institutional reform and strategic evolution are explored. British daily average power and gas prices, monthly forward prices on the British power and gas markets, seasonal demand profile, electricity demand UK 98/00, annual cost of each plant, price formation in 1997, and monthly demand and wholesale prices in England and Wales 1990-1998 are among the graphs provided

  6. Electricity pricing and load dispatching in deregulated electricity market

    International Nuclear Information System (INIS)

    Geerli; Niioka, S.; Yokoyama, R.

    2003-01-01

    A rapid move to a market-based electric power industry will significantly alter the structure of electricity pricing and system operation. In this paper, we consider a game of negotiation in the electricity market, involving electric utilities, independent power producers (IPPs) and large-scale customers. We analyze the two-level game strategies for the negotiation process between utilities, IPPs and customers. These have been previously recognized as a way to come up with a rational decision for competitive markets, in which players intend to maximize their own profits. The derived operation rules based on competition can be viewed as an extension of the conventional equal incremental cost method for the deregulated power system. The proposed approach was applied to several systems to verify its effectiveness. (Author)

  7. Electricity price and tariff problems and approaches to their solving

    International Nuclear Information System (INIS)

    Piha, M.

    1994-01-01

    The following problems are discussed: (i) integrity of the tariff system, price setting and price control in relation to the secondary market; (ii) long-term contracting relations between the subjects - primary and secondary market entities; (iii) the setting of electricity purchase prices from independent producers; (iv) international integration of national systems, including electricity import prices; (v) cross-subsidies within the system; (vi) identification of adverse environmental impacts and their remediation by incorporating the associated costs into electricity prices; (vii) the cost basis of prices; (viii) objectivization of the cost basis; (ix) unification/diversification of the price and tariff levels and the associated distribution rent problem; (x) rational structure of the tariff system with respect to its complexity and ties to the measuring and control instrumentation and their efficiency; and (xi) breakdown of the costs of heat and electricity cogeneration and a fair price setting. (J.B.)

  8. Testing causal relationships between wholesale electricity prices and primary energy prices

    International Nuclear Information System (INIS)

    Nakajima, Tadahiro; Hamori, Shigeyuki

    2013-01-01

    We apply the lag-augmented vector autoregression technique to test the Granger-causal relationships among wholesale electricity prices, natural gas prices, and crude oil prices. In addition, by adopting a cross-correlation function approach, we test not only the causality in mean but also the causality in variance between the variables. The results of tests using both techniques show that gas prices Granger-cause electricity prices in mean. We find no Granger-causality in variance among these variables. -- Highlights: •We test the Granger-causality among wholesale electricity and primary energy prices. •We test not only the causality in mean but also the causality in variance. •The results show that gas prices Granger-cause electricity prices in mean. •We find no Granger-causality in variance among these variables

  9. Did the expiration of retail price caps affect prices in the restructured Texas electricity market?

    International Nuclear Information System (INIS)

    Kang, Linhong; Zarnikau, Jay

    2009-01-01

    On January 1, 2007, the Electric Reliability Council of Texas (ERCOT) market became the first restructured market in the US to completely remove caps on the prices which could be charged to residential energy consumers by the retailers associated with the traditional or incumbent utility service providers. Our analysis suggests that the expiration of the price-to-beat (PTB) price caps may have led to a reduction in the average prices charged by competitive retail electric providers (REPs). (author)

  10. Price-elastic demand in deregulated electricity markets

    Energy Technology Data Exchange (ETDEWEB)

    Siddiqui, Afzal S.

    2003-05-01

    The degree to which any deregulated market functions efficiently often depends on the ability of market agents to respond quickly to fluctuating conditions. Many restructured electricity markets, however, experience high prices caused by supply shortages and little demand-side response. We examine the implications for market operations when a risk-averse retailer's end-use consumers are allowed to perceive real-time variations in the electricity spot price. Using a market-equilibrium model, we find that price elasticity both increases the retailers revenue risk exposure and decreases the spot price. Since the latter induces the retailer to reduce forward electricity purchases, while the former has the opposite effect, the overall impact of price responsive demand on the relative magnitudes of its risk exposure and end-user price elasticity. Nevertheless, price elasticity decreases cumulative electricity consumption. By extending the analysis to allow for early settlement of demand, we find that forward stage end-user price responsiveness decreases the electricity forward price relative to the case with price-elastic demand only in real time. Moreover, we find that only if forward stage end-user demand is price elastic will the equilibrium electricity forward price be reduced.

  11. A time-varying magnetic flux concentrator

    International Nuclear Information System (INIS)

    Kibret, B; Premaratne, M; Lewis, P M; Thomson, R; Fitzgerald, P B

    2016-01-01

    It is known that diverse technological applications require the use of focused magnetic fields. This has driven the quest for controlling the magnetic field. Recently, the principles in transformation optics and metamaterials have allowed the realization of practical static magnetic flux concentrators. Extending such progress, here, we propose a time-varying magnetic flux concentrator cylindrical shell that uses electric conductors and ferromagnetic materials to guide magnetic flux to its center. Its performance is discussed based on finite-element simulation results. Our proposed design has potential applications in magnetic sensors, medical devices, wireless power transfer, and near-field wireless communications. (paper)

  12. Electricity prices, large-scale renewable integration, and policy implications

    International Nuclear Information System (INIS)

    Kyritsis, Evangelos; Andersson, Jonas; Serletis, Apostolos

    2017-01-01

    This paper investigates the effects of intermittent solar and wind power generation on electricity price formation in Germany. We use daily data from 2010 to 2015, a period with profound modifications in the German electricity market, the most notable being the rapid integration of photovoltaic and wind power sources, as well as the phasing out of nuclear energy. In the context of a GARCH-in-Mean model, we show that both solar and wind power Granger cause electricity prices, that solar power generation reduces the volatility of electricity prices by scaling down the use of peak-load power plants, and that wind power generation increases the volatility of electricity prices by challenging electricity market flexibility. - Highlights: • We model the impact of solar and wind power generation on day-ahead electricity prices. • We discuss the different nature of renewables in relation to market design. • We explore the impact of renewables on the distributional properties of electricity prices. • Solar and wind reduce electricity prices but affect price volatility in the opposite way. • Solar decreases the probability of electricity price spikes, while wind increases it.

  13. Forecasting day ahead electricity spot prices: The impact of the EXAA to other European electricity markets

    OpenAIRE

    Ziel, Florian; Steinert, Rick; Husmann, Sven

    2015-01-01

    In our paper we analyze the relationship between the day-ahead electricity price of the Energy Exchange Austria (EXAA) and other day-ahead electricity prices in Europe. We focus on markets, which settle their prices after the EXAA, which enables traders to include the EXAA price into their calculations. For each market we employ econometric models to incorporate the EXAA price and compare them with their counterparts without the price of the Austrian exchange. By employing a forecasting study...

  14. Electricity market price volatility: The case of Ontario

    International Nuclear Information System (INIS)

    Zareipour, Hamidreza; Bhattacharya, Kankar; Canizares, Claudio A.

    2007-01-01

    Price volatility analysis has been reported in the literature for most competitive electricity markets around the world. However, no studies have been published yet that quantify price volatility in the Ontario electricity market, which is the focus of the present paper. In this paper, a comparative volatility analysis is conducted for the Ontario market and its neighboring electricity markets. Volatility indices are developed based on historical volatility and price velocity concepts, previously applied to other electricity market prices, and employed in the present work. The analysis is carried out in two scenarios: in the first scenario, the volatility indices are determined for the entire price time series. In the second scenario, the price time series are broken up into 24 time series for each of the 24 h and volatility indices are calculated for each specific hour separately. The volatility indices are also applied to the locational marginal prices of several pricing points in the New England, New York, and PJM electricity markets. The outcomes reveal that price volatility is significantly higher in Ontario than the three studied neighboring electricity markets. Furthermore, comparison of the results of this study with similar findings previously published for 15 other electricity markets demonstrates that the Ontario electricity market is one of the most volatile electricity markets world-wide. This high volatility is argued to be associated with the fact that Ontario is a single-settlement, real-time market

  15. Controlling Electricity Consumption by Forecasting its Response to Varying Prices

    DEFF Research Database (Denmark)

    Corradi, Olivier; Ochsenfeld, Henning Peter; Madsen, Henrik

    2013-01-01

    electricity consumption using a one-way price signal. Estimation of the price-response is based on data measurable at grid level, removing the need to install sensors and communication devices between each individual consumer and the price-generating entity. An application for price-responsive heating systems......In a real-time electricity pricing context where consumers are sensitive to varying prices, having the ability to anticipate their response to a price change is valuable. This paper proposes models for the dynamics of such price-response, and shows how these dynamics can be used to control...... is studied based on real data, before conducting a control by price experiment using a mixture of real and synthetic data. With the control objective of following a constant consumption reference, peak heating consumption is reduced by nearly 5%, and 11% of the mean daily heating consumption is shifted....

  16. A Statistical Approach for Interval Forecasting of the Electricity Price

    DEFF Research Database (Denmark)

    Zhao, Jun Hua; Dong, Zhao Yang; Xu, Zhao

    2008-01-01

    the prediction interval is essential for estimating the uncertainty involved in the price and thus is highly useful for making generation bidding strategies and investment decisions. In this paper, a novel data mining-based approach is proposed to achieve two major objectives: 1) to accurately forecast the value......Electricity price forecasting is a difficult yet essential task for market participants in a deregulated electricity market. Rather than forecasting the value, market participants are sometimes more interested in forecasting the prediction interval of the electricity price. Forecasting...... of the electricity price series, which is widely accepted as a nonlinear time series; 2) to accurately estimate the prediction interval of the electricity price series. In the proposed approach, support vector machine (SVM) is employed to forecast the value of the price. To forecast the prediction interval, we...

  17. Cost-reflective electricity pricing: Consumer preferences and perceptions

    International Nuclear Information System (INIS)

    Hall, Nina L.; Jeanneret, Talia D.; Rai, Alan

    2016-01-01

    In Australia, residential electricity peak demand has risen steeply in recent decades, leading to higher prices as new infrastructure was needed to satisfy demand. One way of limiting further infrastructure-induced retail price rises is via ‘cost-reflective’ electricity network pricing that incentivises users to shift their demand to non-peak periods. Empowering consumers with knowledge of their energy usage is critical to maximise the potential benefits of cost-reflective pricing. This research consulted residential electricity consumers in three Australian states on their perceptions and acceptance of two cost-reflective pricing scenarios (Time-of-Use and Peak Capacity pricing) and associated technologies to support such pricing (smart meters, in-home displays and direct load control devices). An energy economist presented information to focus groups on the merits and limitations of each scenario, and participants’ views were captured. Almost half of the 53 participants were agreeable to Time-of-Use pricing, but did not have a clear preference for Peak Capacity pricing, where the price was based on the daily maximum demand. Participants recommended further information to both understand and justify the potential benefits, and for technologies to be introduced to enhance the pricing options. The results have implications for utilities and providers who seek to reduce peak demand. - Highlights: •Electricity price rises can be limited by ‘cost-reflective’ pricing. •We consulted residential electricity consumers on Time-of-Use and Peak Capacity pricing. •Understanding of peak electricity demand must increase to enable demand shift. •Interactive website could enable consumers to evaluate pricing options. •Smart meter adoption may increase if voluntary and includes an in-home display.

  18. Parameter estimation of electricity spot models from futures prices

    NARCIS (Netherlands)

    Aihara, ShinIchi; Bagchi, Arunabha; Imreizeeq, E.S.N.; Walter, E.

    We consider a slight perturbation of the Schwartz-Smith model for the electricity futures prices and the resulting modified spot model. Using the martingale property of the modified price under the risk neutral measure, we derive the arbitrage free model for the spot and futures prices. We estimate

  19. Electricity pricing model in thermal generating stations under deregulation

    International Nuclear Information System (INIS)

    Reji, P.; Ashok, S.; Moideenkutty, K.M.

    2007-01-01

    In regulated public utilities with competitive power markets, deregulation has replaced the monopoly. Under the deregulated power market, the electricity price primarily depends on market mechanism and power demand. In this market, generators generally follow marginal pricing. Each generator fixes the electricity price based on their pricing strategy and it leads to more price volatility. This paper proposed a model to determine the electricity price considering all operational constraints of the plant and economic variables that influenced the price, for a thermal generating station under deregulation. The purpose of the model was to assist existing stations, investors in the power sector, regulatory authorities, transmission utilities, and new power generators in decision-making. The model could accommodate price volatility in the market and was based on performance incentive/penalty considering plant load factor, availability of the plant and peak/ off peak demand. The model was applied as a case study to a typical thermal utility in India to determine the electricity price. It was concluded that the case study of a thermal generating station in a deregulated environment showed that the electricity price mainly depended on the gross calorific value (GCV) of fuel, mode of operation, price of the fuel, and operating charges. 11 refs., 2 tabs., 1 fig

  20. Price elasticity estimation of electricity demand in France

    International Nuclear Information System (INIS)

    Bourbonnais, Regis; Keppler, Jan Horst

    2013-10-01

    On request of the French Union of Electricity (UFE), the authors have carried out a series of econometric statistical tests in order to determine the price elasticity of electricity demand in France. The results obtained are all solid and realistic

  1. Electricity pricing: optimal operation and investment by industrial consumers

    Energy Technology Data Exchange (ETDEWEB)

    Outhred, H.R.; Kaye, R.J.; Sutanto, D.; Manimaran, R.; Bannister, C.H.; Lee, Y.B.

    1988-08-01

    Ongoing research in the areas of economically efficient electricity pricing and industrial consumer response is described. A new electricity pricing theory is described that incorporates future uncertainty and intertemporal linkages between decisions. It indicates that electricity prices should contain two terms - short-run marginal cost plus a term that reflects how each particular decision is likely to affect future global welfare. A practical implementation using spot prices and forward contracts plus financial instruments for risk sharing and decision coordination is explored, and a procedure for developing long-term pricing policy is considered. The operation of industrial plant has been investigated and models developed to optimize plant behaviour in response to spot prices and forward contracts for electricity. These models are described and results of simulation studies discussed. The economic efficiency and risk sharing advantages of this advanced tariff structure compared with a conventional time-of-use tariff are illustrated.

  2. Gas and electricity price in the European Union in 2011

    International Nuclear Information System (INIS)

    Martin, Jean-Philippe

    2012-11-01

    This document indicates and comments the evolution of gas and electricity prices in the different countries of the European Union. As far as natural gas is concerned, it outlines that taxes on gas are higher in Nordic countries, and that prices are increasing everywhere (for industry as well as for households). As far as electricity is concerned, price is rather cheap in France compared to the other countries. Graphs indicate the evolution of electricity prices between 2010 and 2011 in the different countries for industry and households. Even if a decrease has been noticed in some countries, the general trend is to an increase (between 5 and 10% in average)

  3. Electricity prices in France: past trends and perspectives

    International Nuclear Information System (INIS)

    2014-03-01

    At a time when the European Commission has published a complete report about energy prices in Europe, presenting their evolution during the past years, this article aims to recall the basic principles structuring the electricity bill in France, and to put the French electricity prices in their European context

  4. Wealth Transfers from Implementing Real-Time Retail Electricity Pricing

    OpenAIRE

    Borenstein, Severin

    2005-01-01

    Adoption of real-time electricity pricing %u2014 retail prices that vary hourly to reflect changing wholesale prices %u2014 removes existing cross-subsidies to those customers that consume disproportionately more when wholesale prices are highest. If their losses are substantial, these customers are likely to oppose RTP initiatives unless there is a supplemental program to offset their loss. Using data on a random sample of 636 industrial and commercial customers in southern California, I sho...

  5. International positioning of South African electricity prices and commodity differentiated pricing

    Directory of Open Access Journals (Sweden)

    George A. Thopila

    2013-07-01

    Full Text Available The South African electricity industry has seen a dramatic increase in prices over the past 3 years. This increase has been blanketed across all sectors and is based on a number of factors such as sector, usage and, in the case of domestic pricing, suburb. The cost of electricity in South Africa, particularly to the industrial sector, has been among the lowest in the world. In this paper, we analyse the recent price increases in the South African electricity sector and discuss the price determination mechanism employed by Eskom, South Africa's electricity provider. We also analyse the revenue and sales of Eskom and review the electricity price from an international perspective. The concept of differential pricing and international benchmarking is analysed as a possibility for the South African industrial electricity industry, so that all sectors are not adversely affected by across-the-board increases. Our aim is to raise the question of whether South Africa's electricity prices are in line with international increases and to suggest the possibility of differentiated prices in the local electricity sector.

  6. The effect of costs and regulation on electricity prices

    International Nuclear Information System (INIS)

    Schlaf, E.P.

    1991-01-01

    Two distinct econometric tests were performed to determine if state price regulation of public utilities has had a measurable impact on retail electricity prices. The results of both tests agree that, during the 1971-1985 period, average national electricity prices in each of the three major consuming sectors and the four Census regions were below the level which would have been preferred by profit-maximizing monopolists. Electricity consumers received price benefits during the sample period as a result of regulation. The first test of the effectiveness of state price regulation used a 'revealed preference' approach by comparing the actual prices set by regulatory commissioners with prices and outcomes predicted by three competing theories of regulatory motivation. The second test of the effectiveness of price regulation combined traditional cost function inputs with regulatory variables in reduced-form price equations to determine whether the amount of regulatory intensity, as measured by the number of staff members per regulated utility, is associated with declining electricity prices and whether appointed commissioners allow higher prices than elected commissioners

  7. The price elasticity of electricity demand in South Australia

    International Nuclear Information System (INIS)

    Fan Shu; Hyndman, Rob J.

    2011-01-01

    In this paper, the price elasticity of electricity demand, representing the sensitivity of customer demand to the price of electricity, has been estimated for South Australia. We first undertake a review of the scholarly literature regarding electricity price elasticity for different regions and systems. Then we perform an empirical evaluation of the historic South Australian price elasticity, focussing on the relationship between price and demand quantiles at each half-hour of the day. This work attempts to determine whether there is any variation in price sensitivity with the time of day or quantile, and to estimate the form of any relationships that might exist in South Australia. - Highlights: → We review the scholarly literature on electricity own-price elasticity for different regions and systems. → We use annual log-linear econometric models of the electricity demand to estimate the historic South Australian price elasticity. → We focus on the relationship between price and demand quantiles at each half-hour of the day. → The overall price elasticity in South Australia ranges from -0.363 to -0.428.

  8. Electricity Price Forecasting Based on AOSVR and Outlier Detection

    Institute of Scientific and Technical Information of China (English)

    Zhou Dianmin; Gao Lin; Gao Feng

    2005-01-01

    Electricity price is of the first consideration for all the participants in electric power market and its characteristics are related to both market mechanism and variation in the behaviors of market participants. It is necessary to build a real-time price forecasting model with adaptive capability; and because there are outliers in the price data, they should be detected and filtrated in training the forecasting model by regression method. In view of these points, this paper presents an electricity price forecasting method based on accurate on-line support vector regression (AOSVR) and outlier detection. Numerical testing results show that the method is effective in forecasting the electricity prices in electric power market.

  9. Assessment of emission trading impacts on competitive electricity market price

    DEFF Research Database (Denmark)

    Singh, S.N.; Saxena, D.; Østergaard, Jacob

    2011-01-01

    analyzes the impact of electricity prices in the competitive electricity markets having a uniform market clearing price mechanism. Findings - It is found that the electricity prices depend on the system loading, generation mix, etc. at a particular hour. Various emission trading instruments are discussed...... side emission trading impact on electricity prices in the competitive power market. Design/methodology/approach - Various schemes are suggested and are being implemented to achieve this objective. It is expected that electricity price will increase due to imposition of emission taxes. This paper...... with a special emphasis on the European market. Research limitations/implications - Block bidding of the suppliers is considered whereas the demand is assumed to be inelastic. Originality/value - The emission trading impacts are analyzed on a simple example....

  10. Importance of Electricity Transport Pricing in Liberalised Energy Markets

    International Nuclear Information System (INIS)

    Wohlgemuth, N.

    2001-01-01

    Electricity has traditionally been supplied by vertically integrated companies providing generation, transmission and distribution services. Consumers have purchased a bundled commodity - delivered electricity - and there has been no need to price the components individually. This is no longer the case in competitive and unbundled electricity markets. One of the outstanding issues in the restructuring of the electricity markets is the way in which transmission costs are translated into tariffs. The efforts to create a single European electricity market are difficult to reconcile due to different national network pricing approaches. The European Commission's draft regulation on conditions for access to the network for cross-border exchanges of electricity sets general principles for the pricing of international electricity exchanges. Nodal pricing provides incentives for an efficient use of generation and transmission assets. Experience shows that nodal pricing is workable, and its use may be expected to increase progressively. Postage stamp pricing does not generally provide adequate incentives for efficiency. However, inefficiencies may be small under certain conditions, and postage stamp pricing has the advantage of being relatively transparent and easy to implement. This paper presents an overview of objectives related to an effective design of transmission pricing approaches, of transmission pricing models and presents recent developments in Europe in this respect. Due to the great number of institutional designs of electricity market organisations, it will be difficult to design and implement a model of cross-border transmission pricing that results in a high degree of non-discriminatory international competition in electricity markets, a key objective of the Electricity Directive.(author)

  11. An empirical comparison of alternate regime-switching models for electricity spot prices

    Energy Technology Data Exchange (ETDEWEB)

    Janczura, Joanna [Hugo Steinhaus Center, Institute of Mathematics and Computer Science, Wroclaw University of Technology, 50-370 Wroclaw (Poland); Weron, Rafal [Institute of Organization and Management, Wroclaw University of Technology, 50-370 Wroclaw (Poland)

    2010-09-15

    One of the most profound features of electricity spot prices are the price spikes. Markov regime-switching (MRS) models seem to be a natural candidate for modeling this spiky behavior. However, in the studies published so far, the goodness-of-fit of the proposed models has not been a major focus. While most of the models were elegant, their fit to empirical data has either been not examined thoroughly or the signs of a bad fit ignored. With this paper we want to fill the gap. We calibrate and test a range of MRS models in an attempt to find parsimonious specifications that not only address the main characteristics of electricity prices but are statistically sound as well. We find that the best structure is that of an independent spike 3-regime model with time-varying transition probabilities, heteroscedastic diffusion-type base regime dynamics and shifted spike regime distributions. Not only does it allow for a seasonal spike intensity throughout the year and consecutive spikes or price drops, which is consistent with market observations, but also exhibits the 'inverse leverage effect' reported in the literature for spot electricity prices. (author)

  12. An empirical comparison of alternate regime-switching models for electricity spot prices

    International Nuclear Information System (INIS)

    Janczura, Joanna; Weron, Rafal

    2010-01-01

    One of the most profound features of electricity spot prices are the price spikes. Markov regime-switching (MRS) models seem to be a natural candidate for modeling this spiky behavior. However, in the studies published so far, the goodness-of-fit of the proposed models has not been a major focus. While most of the models were elegant, their fit to empirical data has either been not examined thoroughly or the signs of a bad fit ignored. With this paper we want to fill the gap. We calibrate and test a range of MRS models in an attempt to find parsimonious specifications that not only address the main characteristics of electricity prices but are statistically sound as well. We find that the best structure is that of an independent spike 3-regime model with time-varying transition probabilities, heteroscedastic diffusion-type base regime dynamics and shifted spike regime distributions. Not only does it allow for a seasonal spike intensity throughout the year and consecutive spikes or price drops, which is consistent with market observations, but also exhibits the 'inverse leverage effect' reported in the literature for spot electricity prices. (author)

  13. Cross hedging and forward-contract pricing of electricity

    International Nuclear Information System (INIS)

    Woo, C.-K.; Hoang, K.; Horowitz, I.

    2001-01-01

    We consider the problem of an electric-power marketer offering a fixed-price forward contract to provide electricity that it purchases from a potentially volatile and unpredictable fledgling spot energy market. One option for the risk-averse marketer who wants to hedge against the spot-price volatility is to engage in cross hedging to reduce the contract's profit variance, and to determine the forward-contract price as a risk-adjusted price - the sum of a baseline price and a risk premium. We show how the marketer can estimate the spot-price relationship between two wholesale energy markets for the purpose of cross hedging, as well as the optimal hedge and the forward contract's baseline price and risk premium

  14. Cross hedging and forward-contract pricing of electricity

    Energy Technology Data Exchange (ETDEWEB)

    Woo, C.-K.; Hoang, K. [Energy and Environmental Economics, Inc., 353 Sacramento Street, Suite 1700, 94111 San Francisco, CA (United States); Horowitz, I. [Decision and Information Sciences, Warrington College of Business Administration, University of Florida, 32611 Gainesville, FL (United States)

    2001-01-01

    We consider the problem of an electric-power marketer offering a fixed-price forward contract to provide electricity that it purchases from a potentially volatile and unpredictable fledgling spot energy market. One option for the risk-averse marketer who wants to hedge against the spot-price volatility is to engage in cross hedging to reduce the contract's profit variance, and to determine the forward-contract price as a risk-adjusted price - the sum of a baseline price and a risk premium. We show how the marketer can estimate the spot-price relationship between two wholesale energy markets for the purpose of cross hedging, as well as the optimal hedge and the forward contract's baseline price and risk premium.

  15. Reserve price: Lessons learned from Brazilian electricity procurement auctions

    International Nuclear Information System (INIS)

    Rego, Erik Eduardo

    2013-01-01

    Auctions have been used in several formats in the electric energy industry. In general, regulators may be uncomfortable initiating a reverse auction at a higher-than-expected final price, fearing that participants may sell their energy at an excess profitability. Nevertheless, evidence from electricity procurement auctions conducted in Brazil supports the findings that these types of auctions have the opposite effect. By attracting a larger number of agents, these auctions can trigger stronger competition and lead to lower settlement pricing. Accordingly, the Brazilian cases examined in this article present significant evidence to support this directional theory. In fact, there are some cases of electricity procurement auctions that show that inadequate auction reserve pricing leads to inefficient outcomes and may also cause the auction to fail. On the other hand, auctions with adequate price caps have led to lower final clearing prices, thus contributing to reasonable final energy pricing. - Highlights: • Outcomes from Brazilian electricity procurement auctions were analyzed. • Cases of success and frustration after adopting (in)adequate reserve prices. • Setting different price caps per source is inefficient. • Higher-than-normal price cap is more effective than fine-tuning reserve prices

  16. Proceedings: 1996 EPRI conference on innovative approaches to electricity pricing: Managing the transition to market-based pricing

    International Nuclear Information System (INIS)

    1996-03-01

    This report presents the proceedings from the EPRI conference on innovative approaches to electricity pricing. Topics discussed include: power transmission pricing; retail pricing; price risk management; new pricing paradigms; changes from cost-based to a market-based pricing scheme; ancillary services; retail market strategies; profitability; unbundling; and value added services. This is the leading abstract. Papers are processed separately for the databases

  17. Electricity Prices, Large-Scale Renewable Integration, and Policy Implications

    OpenAIRE

    Kyritsis, Evangelos; Andersson, Jonas; Serletis, Apostolos

    2016-01-01

    This paper investigates the effects of intermittent solar and wind power generation on electricity price formation in Germany. We use daily data from 2010 to 2015, a period with profound modifications in the German electricity market, the most notable being the rapid integration of photovoltaic and wind power sources, as well as the phasing out of nuclear energy. In the context of a GARCH-in-Mean model, we show that both solar and wind power Granger cause electricity prices, that solar power ...

  18. High Penetrated Wind Farm Impacts on the Electricity Price

    DEFF Research Database (Denmark)

    Haji Bashi, Mazaher; Yousefi, G. R.; Bak, Claus Leth

    2016-01-01

    of the high penetrated wind farm integration into electricity markets. Then, stochastic programming approach is employed to compare the volume of trades for a typical wind farm in a high and low wind penetrated market. Although increasing price spikes and volatility was reported in the literature......Energy trading policies, intermittency of wind farm output power, low marginal cost of the production, are the key factors that cause the wind farms to be effective on the electricity price. In this paper, the Danish electricity market is studied as a part of Nord Pool. Considering the completely...... fossil fuel free overview in Danish energy policies, and the currently great share of wind power (more than 100% for some hours) in supplying the load, it is an interesting benchmark for the future electricity markets. Negative prices, price spikes, and price volatility are considered as the main effects...

  19. Basic Studies on Chaotic Characteristics of Electric Power Market Price

    Science.gov (United States)

    Takeuchi, Yuya; Miyauchi, Hajime; Kita, Toshihiro

    Recently, deregulation and reform of electric power utilities have been progressing in many parts of the world. In Japan, partial deregulation has been started from generation sector since 1995 and partial deregulation of retail sector is executed through twice law revisions. Through the deregulation, because electric power is traded in the market and its price is always fluctuated, it is important for the electric power business to analyze and predict the price. Although the price data of the electric power market is time series data, it is not always proper to analyze by the linear model such as ARMA because the price sometimes changes suddenly. Therefore, in this paper, we apply the methods of chaotic time series analysis, one of non-linear analysis methods, and investigate the chaotic characteristics of the system price of JEPX.

  20. Prices and tariffs in a liberalized electricity market

    International Nuclear Information System (INIS)

    Rijkers, F.; Wals, A.; Battjes, C.; Scheepers, M.

    2000-01-01

    First, it is described how prices and tariffs were determined before the introduction of the liberalization. Next, a brief overview is given of the transfer to the liberalized market and how the situation is on this market at present. Special attention is paid to the pricing of electricity in a free market, which is determined by competition between electricity producers in the Netherlands and abroad. Finally, a comparison is made between the expected prices and tariffs in a liberalized market and the prices before the liberalization

  1. Housing Cycles in Switzerland - A Time-Varying Approach

    OpenAIRE

    Drechsel, Dirk

    2015-01-01

    In light of the strong increase of house prices in Switzerland, we analyze the effects of mortgage rate shocks, changes in the interplay between housing demand and supply and GDP growth on house prices for the time period 1981- 2014. We employ Bayesian time-varying coefficients vector autoregressions to allow different monetary and immigration regimes over time. A number of structural changes, such as regulatory changes in the aftermath of the 1990s real estate crisis, the introduction of fre...

  2. Electricity prices in a competitive market: a preliminary analysis of the deregulated Thai electricity industry

    International Nuclear Information System (INIS)

    Pipattanasomporn, M.; Ongsakul, W.; Pacudan, R.; Lefevre, T.

    2000-01-01

    The electricity industry throughout the world is currently undergoing a significant transition towards restructuring and deregulation. Following this new legislation, Thailand has initiated an institutional and structural reform with a belief that this could be the best way forward for the Thai electricity supply industry (ESI) to improve efficiency, lower electricity prices, and tackle financial debts. This paper presents an analysis of the extent to which prices for generation services in a competitive market may differ from regulated electricity prices, if competitive prices are based on marginal costs and regulated prices are based on average costs, by using Thailand as a case study. (Author)

  3. The long-run price sensitivity dynamics of industrial and residential electricity demand: The impact of deregulating electricity prices

    International Nuclear Information System (INIS)

    Adom, Philip Kofi

    2017-01-01

    This study examines the demand-side of Ghana's electricity sector. We test two important related hypotheses: (1) deregulation of electricity price does not promote energy conservation, and (2) demand-price relationship is not an inverted U-shaped. The Stock and Watson dynamic OLS is used to address the so-called second-order bias. The result showed that, deregulation of electricity price in Ghana has induced behaviours that are more consistent with energy conservation improvements. The demand-price relationship is an inverted U, which suggests that there is a price range that end-users can tolerate further price rise and still increase their consumption of electricity. However, the degree of price tolerability is higher for residential consumers than industrial consumers. The simulation results showed that, further economic growth is likely to compromise energy conservation but more in the industrial sector than the residential sector. On the other hand, future crude oil price is likely to deteriorate energy conservation in the initial years after 2016, but this trend is likely to reverse after the year 2020. Pricing mechanisms are potent to induce energy conservation but inadequate. The results suggest that they should be complemented with other stringent policies such as a mandatory energy reduction policy, investment in renewables, and personalization of energy efficiency programs. - Highlights: • Studies the demand-side of the electricity sector • Deregulating electricity price promotes energy conservation • Demand-price relationship is an inverted U-shaped • Pricing policies should be combined with other energy mandatory reduction policies

  4. A counterfactual price analysis of British electricity privatisation

    International Nuclear Information System (INIS)

    Branston, J.R.

    2000-01-01

    The aim of this paper is to challenge the widely held view that electricity privatisation in Great Britain (comprised of the markets of England and Wales, and Scotland) was beneficial simply because the price of electricity has subsequently fallen in real terms. This is carried out by comparing the electricity prices actually observed with those that might have been charged had the industry remained in public ownership. In order to do this the paper develops a counterfactual scenario for the likely decisions and effects of a publicly owned industry. This leads the paper to conclude that observed prices are indeed significantly higher than they would have been had privatisation not occurred. (author)

  5. Loss Aversion and Time-Differentiated Electricity Pricing

    Energy Technology Data Exchange (ETDEWEB)

    Spurlock, C. Anna [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)

    2015-06-01

    I develop a model of loss aversion over electricity expenditure, from which I derive testable predictions for household electricity consumption while on combination time-of-use (TOU) and critical peak pricing (CPP) plans. Testing these predictions results in evidence consistent with loss aversion: (1) spillover effects - positive expenditure shocks resulted in significantly more peak consumption reduction for several weeks thereafter; and (2) clustering - disproportionate probability of consuming such that expenditure would be equal between the TOUCPP or standard flat-rate pricing structures. This behavior is inconsistent with a purely neoclassical utility model, and has important implications for application of time-differentiated electricity pricing.

  6. Distributional incidence of green electricity price subsidies in China

    International Nuclear Information System (INIS)

    Wang, Feng; Zhang, Bing

    2016-01-01

    Distributional incidences are fundamental to environmental and energy policies, a condition that has led to controversies on the equity of environmental and energy policy. Using data from China's Urban Household Income and Expenditure Survey data from 2007, this study quantified the distributional effects of the green electricity price subsidy policy among Chinese urban household and compared its effects by using lifetime income and annual income to classify households, respectively. The results show that total electricity subsidies are mainly driven by indirect electricity subsidies. By using lifetime income to classify households, subsidies to households in the poorest two groups accounted for less than 10.2% of the total subsidies, whereas money distributed to households in the top two deciles reached 35.4%. The comparison using annual income to group households also demonstrated the similar impact of the green electricity price subsidy policy. China’s future market reforms should allow electricity prices to reflect pollution abatement costs. Additionally, a multi-step block electricity price schedule can reduce the regressivity of the policy. - Highlights: • We quantified the distributional effects of the green electricity price subsidy. • The distributional effects of different income groups were compared. • The poorest two groups accounted for less than 10.2% of the total subsidies. • The green electricity price subsidy policy benefited the rich at household level.

  7. Demand side management in recycling and electricity retail pricing

    Science.gov (United States)

    Kazan, Osman

    This dissertation addresses several problems from the recycling industry and electricity retail market. The first paper addresses a real-life scheduling problem faced by a national industrial recycling company. Based on their practices, a scheduling problem is defined, modeled, analyzed, and a solution is approximated efficiently. The recommended application is tested on the real-life data and randomly generated data. The scheduling improvements and the financial benefits are presented. The second problem is from electricity retail market. There are well-known patterns in daily usage in hours. These patterns change in shape and magnitude by seasons and days of the week. Generation costs are multiple times higher during the peak hours of the day. Yet most consumers purchase electricity at flat rates. This work explores analytic pricing tools to reduce peak load electricity demand for retailers. For that purpose, a nonlinear model that determines optimal hourly prices is established based on two major components: unit generation costs and consumers' utility. Both are analyzed and estimated empirically in the third paper. A pricing model is introduced to maximize the electric retailer's profit. As a result, a closed-form expression for the optimal price vector is obtained. Possible scenarios are evaluated for consumers' utility distribution. For the general case, we provide a numerical solution methodology to obtain the optimal pricing scheme. The models recommended are tested under various scenarios that consider consumer segmentation and multiple pricing policies. The recommended model reduces the peak load significantly in most cases. Several utility companies offer hourly pricing to their customers. They determine prices using historical data of unit electricity cost over time. In this dissertation we develop a nonlinear model that determines optimal hourly prices with parameter estimation. The last paper includes a regression analysis of the unit generation cost

  8. Labor demand effects of rising electricity prices: Evidence for Germany

    International Nuclear Information System (INIS)

    Cox, Michael; Peichl, Andreas; Pestel, Nico; Siegloch, Sebastian

    2014-01-01

    Germany continues to play a pioneering role in replacing conventional power plants with renewable energy sources. While this might be beneficial with respect to environmental quality, it also implies increasing electricity prices. The extent to which this is associated with negative impacts on employment depends on the interrelationship between labor and electricity as input factors in the production process. In this paper, we estimate cross-price elasticities between electricity and heterogeneous labor for the German manufacturing sector. We use administrative linked employer–employee micro-data combined with information on sector-level electricity prices and usage over the period 2003–2007. We find positive, but small conditional cross-price elasticities of labor demand with respect to electricity prices, which means that electricity as an input factor can be replaced by labor to a limited extent when the production level is held constant. In the case of adjustable output, we find negative unconditional cross-price elasticities, implying that higher electricity prices lead to output reductions and to lower labor demand, with low- and high-skilled workers being affected more than medium-skilled. Resulting adverse distributional effects and potential overall job losses may pose challenges for policy-makers in securing public support for the German energy turnaround. - Highlights: • We estimate cross-price elasticities for electricity and labor in manufacturing. • We use linked employer–employee micro-data from Germany for 2003 to 2007. • We find a weak substitutability between electricity and labor for constant output. • We find complementarity between electricity and labor for adjustable output. • Low- and high-skilled workers are more affected than medium-skilled

  9. Time varying voltage combustion control and diagnostics sensor

    Science.gov (United States)

    Chorpening, Benjamin T [Morgantown, WV; Thornton, Jimmy D [Morgantown, WV; Huckaby, E David [Morgantown, WV; Fincham, William [Fairmont, WV

    2011-04-19

    A time-varying voltage is applied to an electrode, or a pair of electrodes, of a sensor installed in a fuel nozzle disposed adjacent the combustion zone of a continuous combustion system, such as of the gas turbine engine type. The time-varying voltage induces a time-varying current in the flame which is measured and used to determine flame capacitance using AC electrical circuit analysis. Flame capacitance is used to accurately determine the position of the flame from the sensor and the fuel/air ratio. The fuel and/or air flow rate (s) is/are then adjusted to provide reduced flame instability problems such as flashback, combustion dynamics and lean blowout, as well as reduced emissions. The time-varying voltage may be an alternating voltage and the time-varying current may be an alternating current.

  10. Electricity transmission pricing. How contracts must reflect costs

    International Nuclear Information System (INIS)

    Shuttleworth, G.

    1996-01-01

    Two basic structures of transmission systems are distinguished: transmission channels offered through an integrated electric utility and open access offered over an independent network. The first structure allows the application of 'top-down pricing', where transmission prices are derived from customer tariffs less avoidable generation costs. Transmission prices in the second structure must be derived from a 'bottom-up' analysis of transmission costs, including building capacity, marginal losses, and congestion. 5 refs

  11. Time variation in European carbon pass-through rates in electricity futures prices

    International Nuclear Information System (INIS)

    Huisman, Ronald; Kiliç, Mehtap

    2015-01-01

    The European Union Emissions Trading Scheme is a means to price emission allowances. Electricity market prices should reflect these market prices of emission allowances as they are a cost factor for power producers. The pass-through rate is the fraction of the emission allowance price that is passed through to electricity market prices. It is often measured and presented as an average or a fixed estimate over some time period. However, we expect that the pass-through rates should actually vary over time as electricity supply curves reflect the marginal costs of different producers that differ in emission intensity. We apply a Kalman Filter approach to observe pass-through rates in Germany and U.K. and find strong support for time varying instead of fixed pass-through rates. Although policy makers are interested in the impact of a policy on average, our results indicate that one needs to be careful with the time-frame over which pass-through rates are measured for policy evaluation, as an incorrect chosen evaluation period could cause an under- or overestimation of the pass-through rate. In addition, our model helps to provide policy makers with insight in the development of pass-through rates when market circumstances change with respect to power production. - Highlights: • We analyse the time-variation of the emission pass-through rate in power prices. • We examine historical futures prices for Germany and the U.K. • We test the hypothesis by using the Kalman Filter methodology. • Strong support is found that pass-through rates vary over time. • The chosen time-frame for pass-through rates is important for policy evaluation.

  12. NPP electrical price and tariff in the world

    International Nuclear Information System (INIS)

    Mochamad Nasrullah and Sriyana

    2010-01-01

    Construction of a Nuclear Power Plant (NPP) is always become a controversial issue. Nuclear utility and other party which support the NPP present a calculation of NPP electricity cost too optimistic. However for utility and other party that contra to nuclear present a calculation of NPP electricity cost too pessimistic. This study present to reduce the controversy of nuclear cost. In this study, capital cost (Engineering Procurement Construction, EPC) was taken from Asian, America and Europe, operating and maintenance cost uses experience data of PLN, and nuclear fuel cost uses data year of 2008 with high price, low price and average price scenario. The methodological tools used to compare electricity generation cost was LEGECOST, a program developed by IAEA (International Atomic Energy Agency), while for electricity tariff- price calculation using a program developed by PLN research and development center. With the discount rate 10%, the result shows that the cheapest electricity generation cost of NPP is less than 40 mills/kWh, and average electricity tariff was 55 mills/kWh. In the Europe countries the electricity tariff more expensive than NPP in Asia. However generating cost and electricity tariff of NPP in United Stated of America (USA) less competitive because investment cost more expensive. Generating cost and electricity tariff was different at each country depend on salary, labor wage, materials price, construction specification, regulation related to NPP and environment aspect. (author)

  13. Modelling electricity futures prices using seasonal path-dependent volatility

    International Nuclear Information System (INIS)

    Fanelli, Viviana; Maddalena, Lucia; Musti, Silvana

    2016-01-01

    Highlights: • A no-arbitrage term structure model is applied to the electricity market. • Volatility parameters of the HJM model are estimated by using German data. • The model captures the seasonal price behaviour. • Electricity futures prices are forecasted. • Call options are evaluated according to different strike prices. - Abstract: The liberalization of electricity markets gave rise to new patterns of futures prices and the need of models that could efficiently describe price dynamics grew exponentially, in order to improve decision making for all of the agents involved in energy issues. Although there are papers focused on modelling electricity as a flow commodity by using Heath et al. (1992) approach in order to price futures contracts, the literature is scarce on attempts to consider a seasonal volatility as input to models. In this paper, we propose a futures price model that allows looking into observed stylized facts in the electricity market, in particular stochastic price variability, and periodic behavior. We consider a seasonal path-dependent volatility for futures returns that are modelled in Heath et al. (1992) framework and we obtain the dynamics of futures prices. We use these series to price the underlying asset of a call option in a risk management perspective. We test the model on the German electricity market, and we find that it is accurate in futures and option value estimates. In addition, the obtained results and the proposed methodology can be useful as a starting point for risk management or portfolio optimization under uncertainty in the current context of energy markets.

  14. Efficient pricing and investment in electricity markets with intermittent resources

    International Nuclear Information System (INIS)

    Chao, Hung-po

    2011-01-01

    Facing growing technological and environmental challenges, the electricity industry needs effective pricing mechanism to promote efficient risk management and investment decisions. In a restructured electricity market with competitive wholesale prices and traditionally regulated retail rates, however, there are technical and institutional barriers that prevent dynamic pricing with price responsive demand. In regions with limited energy storage capacity, intermittent renewable resources present special challenges. This could adversely affect the effectiveness of public policies causing inefficient investments in energy technologies. In this paper, we present an updated economic model of pricing and investment in restructured electricity market and use the model in a simulation study for an initial assessment of renewable energy strategy and alternative pricing mechanisms. A key objective of the study is to shed light on the policy issues so that effective decisions can be made to improve efficiency. - Highlights: → Renewable resources present special challenges in regions with limited energy storage capacity. → This paper presents an updated economic model of pricing and investment in restructured electricity market. → A simulation study assesses renewable energy strategy and alternative pricing mechanisms. → The study results inform policy decisions to improve efficient investments in energy technologies.

  15. The real-time price elasticity of electricity

    NARCIS (Netherlands)

    Lijesen, M.G.

    2007-01-01

    The real-time price elasticity of electricity contains important information on the demand response of consumers to the volatility of peak prices. Despite the importance, empirical estimates of the real-time elasticity are hardly available. This paper provides a quantification of the real-time

  16. Rising natural gas and electricity prices in the Netherlands

    International Nuclear Information System (INIS)

    Roggen, M.

    2004-01-01

    In a free market, the price for electricity rises rather than falls. And as for the gas price, the consumer will be facing strong fluctuations. For that matter, it is only slightly connected with the liberalization of the market. An employee of Roland Berger Strategy Consultants has delved deeply into the matter, down to the euro [nl

  17. Estimation of Iranian price elasticities of residential electricity demand

    Directory of Open Access Journals (Sweden)

    Yeganeh Mousavi Jahromi

    2014-06-01

    Full Text Available This paper presents a study to determine demand for electricity in city of Yazd, Iran over the period of 1998-2008. Using vector error correction model (VECM based on seasonal information, the study determines that electricity has no elasticity in short term in household expenditure. Therefore, government policy on increasing price of electricity will not influence demand. However, electricity maintains elasticity over the long-term period and an increase on price of electricity could motivate consumers to reduce their consumption by purchasing energy efficient facilities. Therefore, any governmental strategy to increase price may have positive impact on economy. The study also detects a positive and meaningful relationship between temperature and electricity consumption.

  18. A hybrid approach for probabilistic forecasting of electricity price

    DEFF Research Database (Denmark)

    Wan, Can; Xu, Zhao; Wang, Yelei

    2014-01-01

    to the nonstationarities involved in market clearing prices (MCPs), it is rather difficult to accurately predict MCPs in advance. The challenge is getting intensified as more and more renewable energy and other new technologies emerged in smart grids. Therefore transformation from traditional point forecasts...... electricity price forecasting is proposed in this paper. The effectiveness of the proposed hybrid method has been validated through comprehensive tests using real price data from Australian electricity market.......The electricity market plays a key role in realizing the economic prophecy of smart grids. Accurate and reliable electricity market price forecasting is essential to facilitate various decision making activities of market participants in the future smart grid environment. However, due...

  19. The evolution of electricity prices in an uncertain world. Contracting and managing the price risk

    International Nuclear Information System (INIS)

    Vassilopoulos, Ph.; Rapin, D.

    2004-01-01

    With the liberalization of the electricity market, the large industrial consumers saw their electric bill changing nature. Before, this price reflected a long term negotiation with the monopoly, now it is established in a free way via wholesale markets. This evolution marks a transfer of the management of price risk from the producer towards the consumer. This change is not in itself a problem if the hedging instruments are adapted. We note a contamination of the price of the derivative products by the spot while at the same time the traditional relation between cash and term is not always valid for electricity because of its non storability. When well even the price of the derivative products would be formed in an autonomous way, it poses a second problem: that of their indexing on price references like Platt's whose result is assimilated more to a survey of large producers than a true confrontation of supply and demand. This article proposes to examine this change of nature and behaviour of electricity prices. After having explained the intrinsically volatile characteristic of spot prices, we will recall that the products in the long term are not always optimal solutions to decrease this price risk. Lastly, we will highlight a solution of skirting at the risks mentioned above: contracting between producers and consumers. (authors)

  20. Price-elastic demand in deregulated electricity markets

    OpenAIRE

    Siddiqui, Afzal S.

    2003-01-01

    The degree to which any deregulated market functions efficiently often depends on the ability of market agents to respond quickly to fluctuating conditions. Many restructured electricity markets, however, experience high prices caused by supply shortages and little demand-side response. We examine the implications for market operations when a risk-averse retailer's end-use consumers are allowed to perceive real-time variations in the electricity spot price. Using a market-equilibrium mo...

  1. Ontario electricity outlook : smaller reserve margins and higher prices

    International Nuclear Information System (INIS)

    Alexander, C.; Kalevar, P.

    2002-01-01

    Privatization of Hydro One has been delayed, but this will not postpone the scheduled launch of restructuring the electricity markets in Ontario on May 1, 2002. The main concern of Ontario consumers is whether they will undergo an energy crisis such as the one experienced in California. A report released in February 2002 stated that electricity bills will be higher under the new electricity regime. It appears that electricity supply reserve margins will be tighter than originally thought, raising price volatility in the summer and fall. The authors claim that the chance for an energy crisis are low because of the added generating capacity. However, regardless of whether consumers sign a fixed term price contract with retailers, it is likely that electricity bills will be higher in 2002 and 2003. The Independent Electricity Market Operator (IMO) is assuring the public that the power generation resources currently available are sufficient to meet expected demand. However, in June through July, it is possible that reserves will fall short. It is also evident that charges for distribution, transmission and other services will be higher under the restructured system. Electricity bills are likely to be about 5 to 15 per cent higher in 2003 than they were before March 1, 2002. Higher prices might not last indefinitely. Initially, they will be used to pay off the debt, but competition and opportunities for profit should allow for greater efficiencies and innovation in Ontario's electricity system and prices could potentially fall lower than pre-deregulation prices. 1 tab., 3 figs

  2. Ensemble Prediction Model with Expert Selection for Electricity Price Forecasting

    Directory of Open Access Journals (Sweden)

    Bijay Neupane

    2017-01-01

    Full Text Available Forecasting of electricity prices is important in deregulated electricity markets for all of the stakeholders: energy wholesalers, traders, retailers and consumers. Electricity price forecasting is an inherently difficult problem due to its special characteristic of dynamicity and non-stationarity. In this paper, we present a robust price forecasting mechanism that shows resilience towards the aggregate demand response effect and provides highly accurate forecasted electricity prices to the stakeholders in a dynamic environment. We employ an ensemble prediction model in which a group of different algorithms participates in forecasting 1-h ahead the price for each hour of a day. We propose two different strategies, namely, the Fixed Weight Method (FWM and the Varying Weight Method (VWM, for selecting each hour’s expert algorithm from the set of participating algorithms. In addition, we utilize a carefully engineered set of features selected from a pool of features extracted from the past electricity price data, weather data and calendar data. The proposed ensemble model offers better results than the Autoregressive Integrated Moving Average (ARIMA method, the Pattern Sequence-based Forecasting (PSF method and our previous work using Artificial Neural Networks (ANN alone on the datasets for New York, Australian and Spanish electricity markets.

  3. Markets in real electric networks require reactive prices

    International Nuclear Information System (INIS)

    Hogan, W.W.

    1996-01-01

    Extending earlier seminal work, the author finds that locational spot price differences in an electric network provide the natural measure of the appropriate internodal transport charge. However, the problem of loop flow requires different economic intuition for interpreting the implications of spot pricing. The Direct Current model, which is the usual approximation for estimating spot prices, ignores reactive power effects; this approximation is best when thermal constraints create network congestion. However, when voltage constraints are problematic, the DC Load model is insufficient; a full AC Model is required to determine both real and reactive spot prices. 16 figs., 3 tabs., 22 refs

  4. Estimating the volatility of electricity prices: The case of the England and Wales wholesale electricity market

    International Nuclear Information System (INIS)

    Tashpulatov, Sherzod N.

    2013-01-01

    Price fluctuations that partially comove with demand are a specific feature inherent to liberalized electricity markets. The regulatory authority in Great Britain, however, believed that sometimes electricity prices were significantly higher than what was expected and, therefore, introduced price-cap regulation and divestment series. In this study, I analyze how the introduced institutional changes and regulatory reforms affected the dynamics of daily electricity prices in the England and Wales wholesale electricity market during 1990–2001. This research finds that the introduction of price-cap regulation did achieve the goal of lowering the price level at the cost of higher price volatility. Later, the first series of divestments is found to be successful at lowering price volatility, which however happens at the cost of a higher price level. Finally, this study also documents that the second series of divestments was more successful at lowering both the price level and volatility. - Author-Highlights: • The impact of regulation on the dynamics of electricity prices is examined. • Price-cap regulation has decreased the level at the cost of higher volatility. • The first series of divestments has reversed the trade-off. • The reversed trade-off is explained as an indication of tacit collusion. • The second series of divestments is found generally successful

  5. Electricity Market Module: Electricity finance and pricing submodule

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1996-06-01

    The purpose of this report is to document the updates to the Electricity Financial Pricing Module (EFP) to reflect the rate impacts of nuclear decommissioning. The EFP is part of the National Energy Modeling System (NEMS). The updates to the EFP related to nuclear decommissioning include both changes to the underlying data base and the methodology. Nuclear decommissioning refers to the activities performed to take a nuclear plant permanently out of service. The costs of nuclear decommissioning are substantial and uncertain. The recovery of these costs from ratepayers is to occur over the operating life of the nuclear plant. Utilities are obligated to make estimates of the nuclear decommissioning cost every few years. Given this estimate, utilities are to assess a charge upon ratepayers, such that over the operating life of the plant they collect sufficient funds to pay for the decommissioning. However, cost estimates for decommissioning have been increasing and it appears that utilities have not been collecting adequate funds to date. In addition, there is a real risk that many nuclear plants may be closed earlier than originally planned, further exacerbating the under collection problem. The updates performed in this project provide the EFP with the capability to analyze these issues. The remainder of this document is divided into two discussions: (1) Nuclear Decommissioning Data Base, and (2) Methodology. Appendix A contains the actual data base developed during the project.

  6. Rent dissipation through electricity prices of publicly owned utilities

    International Nuclear Information System (INIS)

    Bernard, J-T.; Roland, M.

    1997-01-01

    Pricing policies of Canadian public utilities were examined. It was shown that under the existing set of rules the prices established are frequently below the marginal cost. This appears to be particularly true in the case of provinces that rely principally on hydroelectric resources. Study recommendations to bring electricity prices in line with marginal costs have had little success to date despite overwhelming evidence of large economic losses associated with the current institutional arrangements. This situation remains at the same time that governments apply high tax rates on incomes. By putting together two strands of economic literature, public choice and the theory of public utility pricing, this paper develops a simple model that explains why the median consumer prefers a low electricity price and a high tax rate. Hydro-Quebec survey data is used to confirm that these conditions are satisfied in Quebec. 17 refs., 1 tab

  7. Modeling the return and volatility of the Greek electricity marginal system price

    International Nuclear Information System (INIS)

    Theodorou, Petros; Karyampas, Dimitrios

    2008-01-01

    Traditional cost based optimization models (WASP) for expansion planning do not allow for mark-to-market valuation and cannot satisfy arbitrage free requirements. This work will fill this gap by developing and estimating models for mark-to-market valuation. Furthermore the present paper examines the return and volatility of the newly born Greek's electricity market's marginal system price. A detailed description of the market mechanism and regulation is used to describe how prices are determined in order to proceed with return and volatility modeling. Continuous time mean reverting and time varying mean reverting stochastic processes have been solved in discrete time processes and estimated econometrically along with ARMAX and GARCH models. It was found that GARCH model gave much better estimation and forecasting ability. Strong persistence in mean has been found giving suspicions of market inefficiency and strong incentives for arbitrage opportunities. Finally, the change in the regulatory framework has been controlled and found to have significant impact. (author)

  8. A uniform price auction with locational price adjustments for competitive electricity markets

    International Nuclear Information System (INIS)

    Ethier, R.; Mount, T.; Schulze, W.; Zimmerman, R.; Thomas, R.

    1999-01-01

    Competitive electricity markets which rely on centralized dispatch require a mechanism to solicit offers from competing generators. Ideally, such an auction mechanism, provides incentives to submit offers equal to the marginal cost of generation for each generator. Economic theory suggests that the Uniform Price auction is an appropriate institution. However, an efficient implementation of this auction in an electricity context requires that the offers used in the auction reflect the appropriate locational price adjustments for transmission losses and congestion. This paper describes a uniform price auction that incorporates locational price adjustments on a Web-based platform suitable for experimentation. Preliminary results show dramatically different price and revenue results when compared with a simple continuous Discriminative auction. (author)

  9. CO2 price dynamics. The implications of EU emissions trading for electricity prices and operations

    International Nuclear Information System (INIS)

    Sijm, J.P.M.; Bakker, S.J.A.; Harmsen, H.W.; Lise, W.; Chen, Y.

    2006-07-01

    The experience with CO 2 trading and allowances prices in the last year is reviewed, with a focus on the factors influencing the price of electricity in EU countries. A statistical analysis investigates the relationship between the large increases in electricity prices experienced in 2005 and their relationship to CO 2 prices. In addition, a market simulation analysis using the COMPETES model is performed to assess the extent to which profit-maximizing generators, some of which possess market power, might pass on the opportunity cost of allowances to consumers. The paper concludes by reviewing possible options for policy makers to address the possible adverse implications of price increases caused by CO/sub 2/ trading.

  10. Differential electricity pricing and energy efficiency in South Africa

    International Nuclear Information System (INIS)

    Kohler, Marcel

    2014-01-01

    By international standards the economy of South Africa is extremely energy intensive with only a few countries having higher intensities. SA's primary energy use per unit of GDP is amongst the highest in the world. The high energy and electricity intensity of the economy partly reflects SA's resource endowments (in particular the abundance of coal) but is also a function of the historical under-pricing of coal and electricity by the authorities. South African mining and industrial electricity efficiency is particularly concerning and considerably lower than the global average. This paper sets out to fill a significant gap in the South African energy literature by highlighting the importance of incorporating electricity demand factors as part of the country's energy policy and electricity planning horizon. The paper focuses its attention on modelling the electricity consumption of SA's industrial and mining sectors given these account for the lion's share of electricity demand. A differential electricity pricing policy which targets electricity intensive industrial and mining activities (as practised in China since 2004) is viewed by the author to be a superior policy to blanket electricity price increases administered by authorities in an effort to encourage electricity savings and improve energy efficiency in South Africa. - Highlights: • SA's primary energy use per unit of GDP is amongst the highest in the world. • SA industrial electricity efficiency is considerably lower than the global average. • A differential electricity pricing policy which targets electricity intensive activities. • Differential tariffs raise the cost of energy inefficiency and induces energy saving. • Highlights importance of energy demand modelling in electricity supply planning

  11. Transmission of prices and price volatility in Australian electricity spot markets: a multivariate GARCH analysis

    International Nuclear Information System (INIS)

    Worthington, A.; Kay-Spratley, A.; Higgs, H.

    2005-01-01

    This paper examines the transmission of spot electricity prices and price volatility among the five regional electricity markets in the Australian National Electricity Market: namely, New South Wales, Queensland, South Australia, the Snowy Mountains Hydroelectric Scheme and Victoria. A multivariate generalised autoregressive conditional heteroskedasticity model is used to identify the source and magnitude of price and price volatility spillovers. The results indicate the presence of positive own mean spillovers in only a small number of markets and no mean spillovers between any of the markets. This appears to be directly related to the physical transfer limitations of the present system of regional interconnection. Nevertheless, the large number of significant own-volatility and cross-volatility spillovers in all five markets indicates the presence of strong autoregressive conditional heteroskedasticity and generalised autoregressive conditional heteroskedasticity effects. This indicates that shocks in some markets will affect price volatility in others. Finally, and contrary to evidence from studies in North American electricity markets, the results also indicate that Australian electricity spot prices are stationary. (author)

  12. Hourly Electricity Prices in Day-Ahead Markets

    NARCIS (Netherlands)

    R. Huisman (Ronald); C. Huurman; R.J. Mahieu (Ronald)

    2007-01-01

    textabstractThis paper focuses on the characteristics of hourly electricity prices in day-ahead markets. In these markets, quotes for day-ahead delivery of electricity are submitted simultaneously for all hours in the next day. The same information set is used for quoting all hours of the day. The

  13. The Relationship Between Electricity Price and Wind Power Generation in Danish Electricity Markets

    DEFF Research Database (Denmark)

    Hu, Weihao; Chen, Zhe; Bak-Jensen, Birgitte

    2010-01-01

    of competitive electricity markets in some ways, is chosen as the studied power system. The relationship between the electricity price (both the spot price and the regulation price) and the wind power generation in an electricity market is investigated in this paper. The spot price, the down regulation price...... and the up regulation price generally decreases when the wind power penetration in the power system increases. The statistical characteristics of the spot price for different wind power penetration are analyzed. The findings of this paper may be useful for wind power generation companies to make the optimal...... bidding strategy and may be also useful for the optimal operation of modern power systems with high wind power penetrations....

  14. Transmission pricing and stranded costs in the electric power industry

    International Nuclear Information System (INIS)

    Baumol, W.J.; Sidak, J.G.

    1995-09-01

    Stranded costs are those costs that electric utilities are currently permitted to recover through their rates but whose recovery may be impeded or prevented by the advent of competition in the industry. Estimates of these costs run from the tens to the hundreds of billions of dollars. Should regulators permit utilities to recover stranded costs while they take steps to promote competition in the electric power industry. William Baumol and J. Gregory Sidak argue that answer to that question should be yes.The authors show that a transmission price, the price for sending electricity over the transmission grid, can be determined in a manner that is compatible with economic efficiency and clearly neutral in its effects upon all competitors in electricity generation. A correctly constructed regime of transmission pricing may in fact achieve the efficiency and equity goals that justify the recovery of stranded costs

  15. Potential impacts of electricity price changes on price formation in the economy: a social accounting matrix price modeling analysis for Turkey

    International Nuclear Information System (INIS)

    Akkemik, K. Ali

    2011-01-01

    Recent reforms in the Turkish electricity sector since 2001 aim to introduce a tariff system that reflects costs. This is expected to affect the production and consumer prices of electricity. The changes in electricity prices are then reflected in production costs in other segments of the economy. Subsequently, producer and consumer prices will be affected. The potential impact of the changes in electricity prices that the ongoing electricity reforms in Turkey will bring about may have important implications on the price formation in economic activities and the cost of living for households. This paper evaluates the potential impacts of changes in electricity prices from a social accounting matrix (SAM) price modeling perspective. It is found that based on the estimated price multipliers that prices in the energy-producing sectors, mining, and iron and steel manufacturing sectors would be affected more severely than the remaining sectors of the economy. Consumer prices are affected slightly less than producer prices. - Research Highlights: → The impact of electricity generation costs on prices in other sectors is modeled. → A micro-SAM emphasizing electricity supply is constructed using 2002 I-O tables. → Energy, mining, and steel sectors are more responsive to electricity costs. → Living costs are less responsive to electricity cost changes than producer prices.

  16. Electricity prices and power derivatives: An affine jump diffusion approach with seasonal volatility and prices

    International Nuclear Information System (INIS)

    Nomikos, Nikos; Soldatos, Orestes; Tamvakis, Michael

    2005-01-01

    Deregulation and reforms in the electricity markets over the recent years have led to increasing volatility of electricity prices since prices in the market are now determined by the fundamental rules of supply and demand. The existence of price risk in the market leads to the increasing necessity of hedging using derivatives and the subsequent development of models to price and hedge electricity derivatives. However the non-storable nature of the market implies that ''traditional'' approaches for the pricing and hedging of commodity derivatives based on the theory of storage are not applicable to electricity markets. In this paper we propose a two-factor jump diffusion model with seasonal components in order to capture the systematic pattern in the forward curve and the volatility term structure. Our model is then calibrated for the spot and the financial contracts in the Nord Pool Exchange using Kalman filter techniques. The proposed model has several advantages. First it enables to select the risk neutral measure that best fits the term structure hence capturing the most significant distributional characteristics of both spot and forwards. Second, it explains the seasonal risk premium, and finally it provides a fit for the Volatility Term Structure. The resulting model is very promising, providing a very useful Financial Engineering tool to market participants for Risk Hedging and Derivatives Pricing in the highly volatile Power Markets. (Author)

  17. The effect of electricity prices on industry in Germany

    International Nuclear Information System (INIS)

    Roepenack, A. von

    1992-01-01

    The contribution gives a survey of the general consumption of electricity in the (former) Federal Republic of Germany from 1980 until 1990 and illustrates the effect of electricity prices on industry - safety of the site, competition, influences on prices for electricity, intensity of electricity, comparison to gross increase in value. In addition, the influence of politics on electricity prices is examined. Among other things, we owe the success of our industry on the international market to the increase in our use of electric power. This is the basis of our success in rationalization and our status on the world market. The dependency of industry and industrial products on this form of energy has increased and will continue to do so. Thus the politicians have little room to act if they do not want to influence industry in a negative way. On the basis of the situation described here, electricity prices which are competitive internationally are an essential prerequisite for the future of our economy. (orig./HSCH) [de

  18. Poverty and environmental impacts of electricity price reforms in Montenegro

    International Nuclear Information System (INIS)

    Silva, Patricia; Klytchnikova, Irina; Radevic, Dragana

    2009-01-01

    The creation of the Energy Community of South Eastern Europe in 2005 committed countries in South Eastern Europe to liberalize their energy markets in accordance to EU regulations. The Government of Montenegro is thus in the process of reforming its energy sector, which includes an electricity tariff reform. This paper analyzes the environmental and social impacts of an increase in residential electricity tariffs contemplated - which is expected to range anywhere from 40 to over 100% increase. As this analysis shows, such a significant price rise will impose a heavy burden on the poor households and it may adversely affect the environment. In an ex ante investigation of the welfare impact of this price increase on households in Montenegro, we show that the anticipated price increase will result in a very significant increase in households' energy expenditures. A simulation of alternative policy measures analyzes the impact of different tariff levels and structures, focusing on the poor and vulnerable households. Higher electricity prices could also significantly increase the proportion of households using fuelwood for space heating. Thus the level of fuelwood consumption should be carefully monitored under the electricity tariff reforms and the Government of Montenegro should combine the tariff reforms with a carefully evaluated set of policy measures to mitigate the effect of the electricity price increase on the poor. (author)

  19. Poverty and environmental impacts of electricity price reforms in Montenegro

    Energy Technology Data Exchange (ETDEWEB)

    Silva, Patricia [Department of Economics, University of Copenhagen, Studiestraede 6, DK-1455 Copenhagen K (Denmark); Klytchnikova, Irina [The World Bank, Poverty Reduction and Economic Management Department (ECSPE) (United States); Radevic, Dragana [Center for Entrepreneurship and Economic Development (ME)

    2009-03-15

    The creation of the Energy Community of South Eastern Europe in 2005 committed countries in South Eastern Europe to liberalize their energy markets in accordance to EU regulations. The Government of Montenegro is thus in the process of reforming its energy sector, which includes an electricity tariff reform. This paper analyzes the environmental and social impacts of an increase in residential electricity tariffs contemplated - which is expected to range anywhere from 40 to over 100% increase. As this analysis shows, such a significant price rise will impose a heavy burden on the poor households and it may adversely affect the environment. In an ex ante investigation of the welfare impact of this price increase on households in Montenegro, we show that the anticipated price increase will result in a very significant increase in households' energy expenditures. A simulation of alternative policy measures analyzes the impact of different tariff levels and structures, focusing on the poor and vulnerable households. Higher electricity prices could also significantly increase the proportion of households using fuelwood for space heating. Thus the level of fuelwood consumption should be carefully monitored under the electricity tariff reforms and the Government of Montenegro should combine the tariff reforms with a carefully evaluated set of policy measures to mitigate the effect of the electricity price increase on the poor. (author)

  20. Econometric analysis of Australian emissions markets and electricity prices

    International Nuclear Information System (INIS)

    Cotton, Deborah; De Mello, Lurion

    2014-01-01

    Emissions trading schemes aim to reduce the emissions in certain pollutants using a market based scheme where participants can buy and sell permits for these emissions. This paper analyses the efficiency of the two largest schemes in Australia, the NSW Greenhouse Gas Abatement Scheme and the Mandatory Renewable Energy Trading Scheme, through their effect on the electricity prices from 2004 to 2010. We use a long run structural modelling technique for the first time on this market. It provides a practical long-run approach to structural relationships which enable the determination of the effectiveness of the theoretical expectations of these schemes. The generalised forecast error variance decomposition analysis finds that both schemes' emissions prices have little effect on electricity prices. Generalised impulse response function analysis support this finding indicating that when shocks are applied to electricity by the two schemes it returns to equilibrium very quickly. This indicates that these schemes are not having the effect anticipated in their legislation. - Highlights: • We analyse two emissions trading schemes in Australia. • We test for their effect on wholesale electricity prices. • The test uses generalised forecast error variance decomposition analysis. • The tests find long run relationship between the variables in both the samples. • The short run-dynamics indicate that they play a minimal role in electricity prices

  1. Optimal pricing of transmission and distribution services in electricity supply

    International Nuclear Information System (INIS)

    Farmer, E.D.; Cory, B.J.; Perera, B.L.P.P.

    1995-01-01

    A new strategy for the separate pricing of transmission and distribution services in electricity supply is formulated and evaluated. The proposed methodology is a multivariate transmission generalisation of the method of peak load pricing previously applied to the optimal time-of-use pricing of generation on a power system with diverse generation technologies and with elastic demand. The method allocates both capacity and operational costs on a time-of-use basis, in an optimal manner, that avoids cross-subsidisation both between differing supply system participants and differing times of usage. The method is shown to promote the optimal development of the transmission, distribution or interconnecting systems, rewarding justified investments in transmission capacity and discouraging overinvestment. It also leads to appropriate returns on invested capital without significant 'revenue reconciliation'. This contrasts with SRMC pricing as is shown by a comparative revenue evaluation. It is concluded that the method has wide potential application in electricity supply. (author)

  2. CO2 price dynamics. The implications of EU emissions trading for the price of electricity

    International Nuclear Information System (INIS)

    Sijm, J.P.M.; Bakker, S.J.A.; Harmsen, H.W.; Lise, W.; Chen, Y.

    2005-09-01

    The present study analyses the relationship between EU emissions trading and power prices, notably the implications of free allocation of emissions allowances for the price of electricity in countries of North-western Europe. To study this impact, it uses a variety of analytical approaches, including interviews with stakeholders, empirical and statistical analyses, theoretical explorations, and analyses by means of the COMPETES model. The study shows that a significant part of the costs of freely allocated allowances is passed through to power price and discusses its implications in terms of higher electricity prices for consumers and windfall profits for producers. It concludes that free allocation of emission allowances is a highly questionable policy option for a variety of reasons and suggests that auctioning might offer a better perspective

  3. The welfare effects of different pricing schemes for electricity distribution in Finland

    International Nuclear Information System (INIS)

    Kopsakangas-Savolainen, Maria

    2004-01-01

    The main components of electricity prices can be divided into the wholesale price, the price of network operations and taxes. Even if the wholesale price is determined efficiently, total welfare can be significantly disturbed if network operations are priced inefficiently. In this study, we calculate network prices based on four alternative methods. These are marginal cost pricing, Ramsey pricing, FDC-pricing and optimal two-part tariffs. The welfare effects on the prevailing pricing system are compared. We show that potentially significant improvements in welfare can be achieved by using marginal cost prices or optimal two-part tariffs. Also Ramsey pricing indicates that prevailing prices are inefficient

  4. The welfare effects of different pricing schemes for electricity distribution in Finland

    International Nuclear Information System (INIS)

    Kopsakangas-Savolainen, Maria

    2004-01-01

    The main components of electricity prices can be divided into the wholesale price, the price of network operations and taxes. Even if the wholesale price is determined efficiently, total welfare can be significantly disturbed if network operations are priced inefficiently. In this study, we calculate network prices based on four alternative methods. These are marginal cost pricing, Ramsey pricing, FDC-pricing and optimal two-part tariffs. The welfare effects on the prevailing pricing system are compared. We show that potentially significant improvements in welfare can be achieved by using marginal cost prices or optimal two-part tariffs. Also Ramsey pricing indicates that prevailing prices are inefficient. (Author)

  5. The real-time price elasticity of electricity

    International Nuclear Information System (INIS)

    Lijesen, Mark G.

    2007-01-01

    The real-time price elasticity of electricity contains important information on the demand response of consumers to the volatility of peak prices. Despite the importance, empirical estimates of the real-time elasticity are hardly available. This paper provides a quantification of the real-time relationship between total peak demand and spot market prices. We find a low value for the real-time price elasticity, which may partly be explained from the fact that not all users observe the spot market price. If we correct for this phenomenon, we find the elasticity to be fairly low for consumers currently active in the spot market. If this conclusion applies to all users, this would imply a limited scope for government intervention in supply security issues. (Author)

  6. Modelling price and volatility inter-relationships in the Australian wholesale spot electricity markets

    International Nuclear Information System (INIS)

    Higgs, Helen

    2009-01-01

    This paper examines the inter-relationships of wholesale spot electricity prices among the four regional electricity markets in the Australian National Electricity Market (NEM): namely, New South Wales, Queensland, South Australia and Victoria using the constant conditional correlation and Tse and Tsui's (Tse, Y.K., Tsui, A.K.C., 2002. A multivariate generalised autoregressive conditional heteroscedasticity model with time-varying correlations. Journal of Business and Economic Statistics 20 (3), 351-362.) and Engle's (Engle, R., 2002. Dynamic conditional correlation: a sample class of multivariate generalized autoregressive conditional heteroskedasticity models. Journal of Business and Economic Statistics 20 (3), 339-350.) dynamic conditional correlation multivariate GARCH models. Tse and Tsui's (Tse, Y.K., Tsui, A.K.C., 2002. A multivariate generalised autoregressive conditional heteroscedasticity model with time-varying correlations. Journal of Business and Economic Statistics 20 (3), 351-362.) dynamic conditional correlation multivariate GARCH model which takes account of the Student t specification produces the best results. At the univariate GARCH(1,1) level, the mean equations indicate the presence of positive own mean spillovers in all four markets and little evidence of mean spillovers from the other lagged markets. In the dynamic conditional correlation equation, the highest conditional correlations are evident between the well-connected markets indicating the presence of strong interdependence between these markets with weaker interdependence between the not so well-interconnected markets. (author)

  7. Plant life extensions for German nuclear power plants? Controversial discussion on potential electricity price effects

    International Nuclear Information System (INIS)

    Matthes, Felix C.; Hermann, Hauke

    2009-06-01

    The discussions on electricity price effects in case of the plant life extension of German nuclear power plants covers the following topics: (1) Introduction and methodology. (2) Electricity generation in nuclear power plants and electricity price based on an empirical view: electricity generation in nuclear power plants and final consumption price for households and industry in the European Union; electricity generation in nuclear power plants and electricity wholesale price in case of low availability of nuclear power plants in Germany; comparison of electricity wholesale prices in Germany and France. (3) Model considerations in relation to electricity prices and nuclear phase-out. (4) Concluding considerations.

  8. Sensitivity of portuguese electricity market prices to solar PV penetration : an analysis of 2016 prices

    OpenAIRE

    Cordeiro De Sousa, João

    2017-01-01

    The reduction in price of solar PV technology led, in the recent years, multiple investors to apply for installing new solar PV power plants in Portugal which would operate without subsidies or feed-in-tari s. In 2016 it was reported the approval of construction of such power plants and given the low variable cost of this technology it is expected that their penetration would reduce the electricity market prices. Hence, before doing the economic assessment of potential new sola...

  9. Price discovery in restructured electricity markets

    Energy Technology Data Exchange (ETDEWEB)

    Dempster, Gregory [Hampden-Sydney College, Box 132, Hampden-Sydney, VA 23943 (United States); Isaacs, Justin [Hampden-Sydney College, Hampden-Sydney, VA 23943 (United States); Smith, Narin [Southern Company (United States)

    2008-05-15

    We empirically investigate the degree of integration that existed prior to the cost increases that caused emergency conditions in the Western Systems Coordinating Council (WSCC), particularly California, during the summer of 2000. Evidence from Granger causality tests and common features analysis over the period from December 1994 to September 1999 indicates a moderate degree of integration among these markets. However, price effects throughout the region were often only unidirectional, did not exhibit the characteristics of perfect substitutability, and were significantly influenced by institutional changes in the California market. Most importantly, our research suggests that these markets were not as highly integrated as earlier research had indicated. (author)

  10. Wind energy and electricity prices. Exploring the 'merit order effect'

    International Nuclear Information System (INIS)

    Morthost, P.E.; Ray, S.; Munksgaard, J.; Sinner, A.F.

    2010-04-01

    This report focuses on the effect of wind energy on the electricity price in the power market. As the report will discuss, adding wind into the power mix has a significant influence on the resulting price of electricity, the so called merit order effect (MOE). The merit order effect has been quantified and discussed in many scientific publications. This report ends the first phase of a study on the MOE, evaluating the impact of EWEA's 2020 scenarios on future European electricity prices. The basic principles of the merit order effect are provided in the first part of the document. The literature review itself contains methods and tools not only to quantify the merit order effect but also in order to forecast its future range and volume.

  11. A method for short term electricity spot price forecasting

    International Nuclear Information System (INIS)

    Koreneff, G.; Seppaelae, A.; Lehtonen, M.; Kekkonen, V.; Laitinen, E.; Haekli, J.; Antila, E.

    1998-01-01

    In Finland, the electricity market was de-regulated in November 1995. For the electricity purchase of power companies this has caused big changes, since the old tariff based contracts of bulk power supply have been replaced by negotiated bilateral short term contracts and by power purchase from the spot market. In the spot market, in turn, there are at the present two strong actors: The electricity exchange of Finland and the Nordic power pool which is run by the Swedish and Norwegian companies. Today, the power companies in Finland have short term trade with both of the electricity exchanges. The aim of this chapter is to present methods for spot price forecasting in the electricity exchange. The main focus is given to the Finnish circumstances. In the beginning of the presentation, the practices of the electricity exchange of Finland are described, and a brief presentation is given on the different contracts, or electricity products, available in the spot market. For comparison, the practices of the Nordic electricity exchange are also outlined. A time series technique for spot price forecasting is presented. The structure of the model is presented, and its validity is tested using real case data obtained from the Finnish power market. The spot price forecasting model is a part of a computer system for distribution energy management (DEM) in a de-regulated power market

  12. A method for short term electricity spot price forecasting

    Energy Technology Data Exchange (ETDEWEB)

    Koreneff, G; Seppaelae, A; Lehtonen, M; Kekkonen, V [VTT Energy, Espoo (Finland); Laitinen, E; Haekli, J [Vaasa Univ. (Finland); Antila, E [ABB Transmit Oy (Finland)

    1998-08-01

    In Finland, the electricity market was de-regulated in November 1995. For the electricity purchase of power companies this has caused big changes, since the old tariff based contracts of bulk power supply have been replaced by negotiated bilateral short term contracts and by power purchase from the spot market. In the spot market, in turn, there are at the present two strong actors: The electricity exchange of Finland and the Nordic power pool which is run by the Swedish and Norwegian companies. Today, the power companies in Finland have short term trade with both of the electricity exchanges. The aim of this chapter is to present methods for spot price forecasting in the electricity exchange. The main focus is given to the Finnish circumstances. In the beginning of the presentation, the practices of the electricity exchange of Finland are described, and a brief presentation is given on the different contracts, or electricity products, available in the spot market. For comparison, the practices of the Nordic electricity exchange are also outlined. A time series technique for spot price forecasting is presented. The structure of the model is presented, and its validity is tested using real case data obtained from the Finnish power market. The spot price forecasting model is a part of a computer system for distribution energy management (DEM) in a de-regulated power market

  13. ELMO model predicts the price of electric power

    International Nuclear Information System (INIS)

    Antila, H.

    2001-01-01

    Electrowatt-Ekono has developed a new model, by which it is possible to make long-term prognoses on the development of electricity prices in the Nordic Countries. The ELMO model can be used as an analysis service of the electricity markets and estimation of the profitability of long-term power distribution contracts with different scenarios. It can also be applied for calculation of technical and economical fundamentals for new power plants, and for estimation of the effects of different taxation models on the emissions of power generation. The model describes the whole power generation system, the power and heat consumption and transmission. The Finnish power generation system is based on the Electrowatt-Ekono's boiler database by combining different data elements. Calculation is based on the assumption that the Nordic power generation system is used optimally, and that the production costs are minimised. In practise the effectively operated electricity markets ensure the optimal use of the production system. The market area to be described consists of Finland and Sweden. The spot prices have long been the same. Norway has been treated as a separate market area. The most potential power generation system, the power consumption and the power transmission system are presumed for the target year during a normal rainfall situation. The basic scenario is calculated on the basis of the preconditional data. The calculation is carried out on hourly basis, which enables the estimation of the price variation of electric power between different times during the day and seasons. The system optimises the power generation on the basis of electricity and heat consumption curves and fuel prices. The result is an hourly limit price for electric power. Estimates are presented as standard form reports. Prices are presented as average annuals, in the seasonal base, and in hourly or daily basis for different seasons

  14. Visualizing time-varying harmonics using filter banks

    NARCIS (Netherlands)

    Duque, C.A.; Da Silveira, P.M.; Ribeiro, P.F.

    2011-01-01

    Although it is well known that Fourier analysis is in reality only accurately applicable to steady state waveforms, it is a widely used tool to study and monitor time-varying signals, such as are commonplace in electrical power systems. The disadvantages of Fourier analysis, such as frequency

  15. The Effect of Wind Power on Electricity Prices in Denmark

    DEFF Research Database (Denmark)

    Jonsson, Tryggvi; Madsen, Henrik

    This report is the result of a special course taken by the author at IMM DTU under the guidance of professor Henrik Madsen. The aim of the project is to analyze the influence wind energy has on the electricity spot price in Western Denmark and investigate how information about wind power production...... can be used to model the electricity spot price. Various model types were tried, giving very different performance. Here, only the models that performed best are discussed in order to keep focus on the projects goal....

  16. Market structure and the stability and volatility of electricity prices

    International Nuclear Information System (INIS)

    Bask, Mikael; Widerberg, Anna

    2009-01-01

    By using a novel approach in this paper, (λ,σ 2 )-analysis, we have found that electricity prices most of the time have increased in stability and decreased in volatility when the Nordic power market has expanded and the degree of competition has increased. That electricity prices at Nord Pool have been generated by a stochastic dynamic system that most often has become more stable during the step-wise integration of the Nordic power market means that this market is less sensitive to shocks after the integration process than it was before this process. This is good news

  17. Electron dynamics in solid state via time varying wavevectors

    Science.gov (United States)

    Khaneja, Navin

    2018-06-01

    In this paper, we study electron wavepacket dynamics in electric and magnetic fields. We rigorously derive the semiclassical equations of electron dynamics in electric and magnetic fields. We do it both for free electron and electron in a periodic potential. We do this by introducing time varying wavevectors k(t). In the presence of magnetic field, our wavepacket reproduces the classical cyclotron orbits once the origin of the Schröedinger equation is correctly chosen to be center of cyclotron orbit. In the presence of both electric and magnetic fields, our equations for wavepacket dynamics differ from classical Lorentz force equations. We show that in a periodic potential, on application of electric field, the electron wave function adiabatically follows the wavefunction of a time varying Bloch wavevector k(t), with its energies suitably shifted with time. We derive the effective mass equation and discuss conduction in conductors and insulators.

  18. Vesicle biomechanics in a time-varying magnetic field.

    Science.gov (United States)

    Ye, Hui; Curcuru, Austen

    2015-01-01

    Cells exhibit distortion when exposed to a strong electric field, suggesting that the field imposes control over cellular biomechanics. Closed pure lipid bilayer membranes (vesicles) have been widely used for the experimental and theoretical studies of cellular biomechanics under this electrodeformation. An alternative method used to generate an electric field is by electromagnetic induction with a time-varying magnetic field. References reporting the magnetic control of cellular mechanics have recently emerged. However, theoretical analysis of the cellular mechanics under a time-varying magnetic field is inadequate. We developed an analytical theory to investigate the biomechanics of a modeled vesicle under a time-varying magnetic field. Following previous publications and to simplify the calculation, this model treated the inner and suspending media as lossy dielectrics, the membrane thickness set at zero, and the electric resistance of the membrane assumed to be negligible. This work provided the first analytical solutions for the surface charges, electric field, radial pressure, overall translational forces, and rotational torques introduced on a vesicle by the time-varying magnetic field. Frequency responses of these measures were analyzed, particularly the frequency used clinically by transcranial magnetic stimulation (TMS). The induced surface charges interacted with the electric field to produce a biomechanical impact upon the vesicle. The distribution of the induced surface charges depended on the orientation of the coil and field frequency. The densities of these charges were trivial at low frequency ranges, but significant at high frequency ranges. The direction of the radial force on the vesicle was dependent on the conductivity ratio between the vesicle and the medium. At relatively low frequencies (biomechanics under a time-varying magnetic field. Biological effects of clinical TMS are not likely to occur via alteration of the biomechanics of brain

  19. Effects of regulatory reforms in the electricity supply industry on electricity prices in developing countries

    International Nuclear Information System (INIS)

    Nagayama, Hiroaki

    2007-01-01

    Electric power sector reforms in the electricity supply industry have had an impact on industrial and household prices in developing countries in Latin America, the former Soviet Union, and Eastern Europe. Using original panel data for 83 countries during the period from 1985 to 2002, we examine how each policy instrument of the reform measures influenced electricity prices for countries in the above regions. We found that variables such as entry of independent power producers (IPP), unbundling of generation and transmission, establishment of a regulatory agency, and the introduction of a wholesale spot market have had a variety of impacts on electricity prices, some of which were not always consistent with expected results. The research findings suggest that neither unbundling nor introduction of a wholesale pool market on their own necessarily reduces the electric power price. In fact, contrary to expectations, there was a tendency for the price to rise. However, coexistent with an independent regulator, unbundling may work to reduce electricity prices. Privatization and the introduction of foreign IPP and retail competition lower electricity prices in some regions, but not all

  20. A rough multi-factor model of electricity spot prices

    International Nuclear Information System (INIS)

    Bennedsen, Mikkel

    2017-01-01

    We introduce a new continuous-time mathematical model of electricity spot prices which accounts for the most important stylized facts of these time series: seasonality, spikes, stochastic volatility, and mean reversion. Empirical studies have found a possible fifth stylized fact, roughness, and our approach explicitly incorporates this into the model of the prices. Our setup generalizes the popular Ornstein–Uhlenbeck-based multi-factor framework of and allows us to perform statistical tests to distinguish between an Ornstein–Uhlenbeck-based model and a rough model. Further, through the multi-factor approach we account for seasonality and spikes before estimating – and making inference on – the degree of roughness. This is novel in the literature and we present simulation evidence showing that these precautions are crucial for accurate estimation. Lastly, we estimate our model on recent data from six European energy exchanges and find statistical evidence of roughness in five out of six markets. As an application of our model, we show how, in these five markets, a rough component improves short term forecasting of the prices. - Highlights: • Statistical modeling of electricity spot prices • Multi-factor decomposition • Roughness • Electricity price forecasting

  1. Reforming residential electricity tariff in China: Block tariffs pricing approach

    International Nuclear Information System (INIS)

    Sun, Chuanwang; Lin, Boqiang

    2013-01-01

    The Chinese households that make up approximately a quarter of world households are facing a residential power tariff reform in which a rising block tariff structure will be implemented, and this tariff mechanism is widely used around the world. The basic principle of the structure is to assign a higher price for higher income consumers with low price elasticity of power demand. To capture the non-linear effects of price and income on elasticities, we set up a translog demand model. The empirical findings indicate that the higher income consumers are less sensitive than those with lower income to price changes. We further put forward three proposals of Chinese residential electricity tariffs. Compared to a flat tariff, the reasonable block tariff structure generates more efficient allocation of cross-subsidies, better incentives for raising the efficiency of electricity usage and reducing emissions from power generation, which also supports the living standards of low income households. - Highlights: • We design a rising block tariff structure of residential electricity in China. • We set up a translog demand model to find the non-linear effects on elasticities. • The higher income groups are less sensitive to price changes. • Block tariff structure generates more efficient allocation of cross-subsidies. • Block tariff structure supports the living standards of low income households

  2. Comparison of extended mean-reversion and time series models for electricity spot price simulation considering negative prices

    International Nuclear Information System (INIS)

    Keles, Dogan; Genoese, Massimo; Möst, Dominik; Fichtner, Wolf

    2012-01-01

    This paper evaluates different financial price and time series models, such as mean reversion, autoregressive moving average (ARMA), integrated ARMA (ARIMA) and general autoregressive conditional heteroscedasticity (GARCH) process, usually applied for electricity price simulations. However, as these models are developed to describe the stochastic behaviour of electricity prices, they are extended by a separate data treatment for the deterministic components (trend, daily, weekly and annual cycles) of electricity spot prices. Furthermore price jumps are considered and implemented within a regime-switching model. Since 2008 market design allows for negative prices at the European Energy Exchange, which also occurred for several hours in the last years. Up to now, only a few financial and time series approaches exist, which are able to capture negative prices. This paper presents a new approach incorporating negative prices. The evaluation of the different approaches presented points out that the mean reversion and the ARMA models deliver the lowest mean root square error between simulated and historical electricity spot prices gained from the European Energy Exchange. These models posses also lower mean average errors than GARCH models. Hence, they are more suitable to simulate well-fitting price paths. Furthermore it is shown that the daily structure of historical price curves is better captured applying ARMA or ARIMA processes instead of mean-reversion or GARCH models. Another important outcome of the paper is that the regime-switching approach and the consideration of negative prices via the new proposed approach lead to a significant improvement of the electricity price simulation. - Highlights: ► Considering negative prices improves the results of time-series and financial models for electricity prices. ► Regime-switching approach captures the jumps and base prices quite well. ► Removing and separate modelling of deterministic annual, weekly and daily

  3. Electricity price forecasting using Enhanced Probability Neural Network

    International Nuclear Information System (INIS)

    Lin, Whei-Min; Gow, Hong-Jey; Tsai, Ming-Tang

    2010-01-01

    This paper proposes a price forecasting system for electric market participants to reduce the risk of price volatility. Combining the Probability Neural Network (PNN) and Orthogonal Experimental Design (OED), an Enhanced Probability Neural Network (EPNN) is proposed in the solving process. In this paper, the Locational Marginal Price (LMP), system load and temperature of PJM system were collected and the data clusters were embedded in the Excel Database according to the year, season, workday, and weekend. With the OED to smooth parameters in the EPNN, the forecasting error can be improved during the training process to promote the accuracy and reliability where even the ''spikes'' can be tracked closely. Simulation results show the effectiveness of the proposed EPNN to provide quality information in a price volatile environment. (author)

  4. Price squeezes in electric power: The new Battle of Concord

    International Nuclear Information System (INIS)

    Kwoka, J.E. Jr.

    1992-01-01

    The US Court of Appeals opinion in Town of Concord v. Boston Edison offers a vigorous statement of the position that in a regulated market, what may appear to be a price squeeze almost certainly cannot harm the competitive process and therefore should not be held to violate the antitrust laws. While not disputing the possibility of self-serving claims of price squeezes, this article shows that truly anticompetitive price squeezes may indeed occur in the electric power industry and cannot be so readily dismissed. This analysis begins with a brief factual and economic background on price squeezes, then addresses arguments made in Concord and elsewhere seeking to disprove their possibility, and demonstrate that sound economics and good policy require a more balanced approach

  5. The price of electricity from private power producers

    Energy Technology Data Exchange (ETDEWEB)

    Kahn, E.; Milne, A.; Kito, S.

    1993-10-01

    The long-term wholesale electricity market is becoming increasingly competitive. Bidding for power contracts has become a dominant form of competition in this sector. The prices which emerge from this process have not been documented and compared in a systematic framework. This paper introduces a method to make such comparisons and illustrates it on a small sample of projects. This results show a wide range of prices for what is essentially the same technology, gas-fired combined cycle generation. The price range seems greater than what could be explained by transmission cost differences between high and low cost regions. For the smaller sample of coal-fired projects, price variation is substantially less. Further data collection and analysis should be able to help isolate more clearly what market or cost factors are responsible for the observed variation.

  6. Electricity price forecasting in deregulated markets: A review and evaluation

    Energy Technology Data Exchange (ETDEWEB)

    Aggarwal, Sanjeev Kumar; Saini, Lalit Mohan; Kumar, Ashwani [Department of Electrical Engineering, National Institute of Technology, Kurukshetra, Haryana (India)

    2009-01-15

    The main methodologies used in electricity price forecasting have been reviewed in this paper. The following price-forecasting techniques have been covered: (i) stochastic time series, (ii) causal models, and (iii) artificial intelligence based models. The quantitative analysis of the work done by various authors has been presented based on (a) time horizon for prediction, (b) input variables, (c) output variables, (d) results, (e) data points used for analysis, (f) preprocessing technique employed, and (g) architecture of the model. The results have been presented in the form of tables for ease of comparison. Classification of various price-influencing factors used by different researchers has been done and put for reference. Application of various models as applied to different electricity markets is also presented for consideration. (author)

  7. Electricity price forecasting in deregulated markets: A review and evaluation

    International Nuclear Information System (INIS)

    Aggarwal, Sanjeev Kumar; Saini, Lalit Mohan; Kumar, Ashwani

    2009-01-01

    The main methodologies used in electricity price forecasting have been reviewed in this paper. The following price-forecasting techniques have been covered: (i) stochastic time series, (ii) causal models, and (iii) artificial intelligence based models. The quantitative analysis of the work done by various authors has been presented based on (a) time horizon for prediction, (b) input variables, (c) output variables, (d) results, (e) data points used for analysis, (f) preprocessing technique employed, and (g) architecture of the model. The results have been presented in the form of tables for ease of comparison. Classification of various price-influencing factors used by different researchers has been done and put for reference. Application of various models as applied to different electricity markets is also presented for consideration. (author)

  8. Electric power prices: variable tendency depending on the country

    International Nuclear Information System (INIS)

    Anon.

    1999-01-01

    The deregulation of the electric power sector is very much in the news in most countries and at different stages. A study carried out by the national utility service (NUS) in 17 countries worldwide takes stock of the influence of deregulation on electric power prices. According to this study, the most important price increases are found in 4 non-European countries (Norway, South Africa, USA, New Zealand) while the most important decreases are found within Europe (Sweden 20%, Denmark 15.6%, Italy 12% and Germany 8%). In France the decrease of tariffs reaches only 3%. This short paper analyzes the evolution of prices in the different countries selected in the study, but no real tendency is outlined as the stage of competition is different in each country. (J.S.)

  9. Pay for load demand - electricity pricing with load demand component

    International Nuclear Information System (INIS)

    Pyrko, Jurek; Sernhed, Kerstin; Abaravicius, Juozas

    2003-01-01

    This publication is part of a project called Direct and Indirect Load Control in Buildings. Peak load problems have attracted considerable attention in Sweden during last three winters, caused by a significant decrease in available reserve power, which is a consequence of political decisions and liberalisation of the electricity market. A possible way to lower peak loads, avoiding electricity shortages and reducing electricity costs both for users and utilities, is to make customers experience the price difference during peak load periods and, in this way, become more aware of their energy consumption pattern and load demand. As of January 1st 2001, one of the Swedish energy utilities - Sollentuna Energi - operating in the Stockholm area, introduced a new electricity tariff with differentiated grid fees based on a mean value of the peak load every month. This tariff was introduced for all residential customers in the service area. The objective of this study is to investigate the extent to which a Load Demand Component, included in electricity pricing, can influence energy use and load demand in residential buildings. What are the benefits and disadvantages for customers and utilities? This paper investigates the impact of the new tariff on the utility and different types of typical residential customers, making comparisons with previous tariff. Keywords Load demand, electricity pricing, tariff, residential customers, energy behaviour

  10. Forecasting Electricity Spot Prices Accounting for Wind Power Predictions

    DEFF Research Database (Denmark)

    Jónsson, Tryggvi; Pinson, Pierre; Nielsen, Henrik Aalborg

    2013-01-01

    A two-step methodology for forecasting of electricity spot prices is introduced, with focus on the impact of predicted system load and wind power generation. The nonlinear and nonstationary influence of these explanatory variables is accommodated in a first step based on a nonparametric and time...

  11. Estimating the volatility of electricity prices: the case of the England and Wales wholesale electricity market

    Czech Academy of Sciences Publication Activity Database

    Tashpulatov, Sherzod N.

    2013-01-01

    Roč. 60, September (2013), s. 81-90 ISSN 0301-4215 Institutional support: PRVOUK-P23 Keywords : conditional volatility * electricity prices * regulation Subject RIV: AH - Economics Impact factor: 2.696, year: 2013

  12. Estimating the volatility of electricity prices: the case of the England and Wales wholesale electricity market

    Czech Academy of Sciences Publication Activity Database

    Tashpulatov, Sherzod N.

    2013-01-01

    Roč. 60, September (2013), s. 81-90 ISSN 0301-4215 Institutional support: RVO:67985998 Keywords : conditional volatility * electricity prices * regulation Subject RIV: AH - Economics Impact factor: 2.696, year: 2013

  13. Price dynamics among U.S. electricity spot markets

    International Nuclear Information System (INIS)

    Park, Haesun; Mjelde, James W.; Bessler, David A.

    2006-01-01

    Combining recent advances in causal flows with time series analysis, relationships among 11 U.S. spot market electricity prices are examined. Results suggest that the relationships among the markets vary by time frame. In contemporaneous time, the western markets are separated from the eastern markets and the Electricity Reliability Council of Texas. At longer time frames these separations disappear, even though electricity transmission between the regions is limited. It appears the relationships among markets are not only a function of physical assets (such as transmissions lines among markets), but by similar and dissimilar institutional arrangements among the markets. (Author)

  14. Battery prices and capacity sensitivity: Electric drive vehicles

    DEFF Research Database (Denmark)

    Juul, Nina

    2012-01-01

    , the prices at which the electric drive vehicles become of interest to the power system are found. Smart charge, including the opportunity to discharge (vehicle-to-grid) is used in all scenarios. Analyses show that the marginal benefits decrease the larger the battery. For very high battery prices, large......The increase in fluctuating power production requires an increase in flexibility in the system as well. Flexibility can be found in generation technologies with fast response times or in storage options. In the transport sector, the proportion of electric drive vehicles is expected to increase over...... the next decade or two. These vehicles can provide some of the flexibility needed in the power system, in terms of both flexible demand and electricity storage. However, what are the batteries worth to the power system? And does the value depend on battery capacity? This article presents an analysis...

  15. Cross subsidy removal in electricity pricing in India

    International Nuclear Information System (INIS)

    Bhattacharyya, Ranajoy; Ganguly, Amrita

    2017-01-01

    In India electricity price for agriculture is cross subsidized by the industries. The Indian government has started a process through which the extent of cross subsidization is gradually being reduced. The idea is to replace the cross subsidization by 2030 and introduce a rate structure that will increase with the amount of electricity usage. This paper uses the Computable General Equilibrium framework to evaluate the ex-ante impact of these policy changes on the Indian economy. The paper finds that removal of cross subsidies will increase inflation particularly food inflation resulting in a decline in household incomes more so in rural areas. Replacing cross subsidies with a progressive rate structure will compensate for only a small part of the negative effects of the removal of cross subsidies. Four other policy options are also investigated targeting household incomes, food inflation and general inflation. Most of these options do not work as the required increase in budget deficit is unlikely to be bearable to the government. The only feasible option appears to be a direct price subsidy to agricultural sector: in this case food prices are held down, inflation is moderate and effect on household incomes is minimal. - Highlights: • Removal of cross subsidies in electricity sector will increase inflation in India. • Different policy options are investigated targeting household incomes, food inflation and general inflation. • Feasible option appears to be a direct price subsidy to agricultural sector.

  16. Probabilistic Electricity Price Forecasting Models by Aggregation of Competitive Predictors

    Directory of Open Access Journals (Sweden)

    Claudio Monteiro

    2018-04-01

    Full Text Available This article presents original probabilistic price forecasting meta-models (PPFMCP models, by aggregation of competitive predictors, for day-ahead hourly probabilistic price forecasting. The best twenty predictors of the EEM2016 EPF competition are used to create ensembles of hourly spot price forecasts. For each hour, the parameter values of the probability density function (PDF of a Beta distribution for the output variable (hourly price can be directly obtained from the expected and variance values associated to the ensemble for such hour, using three aggregation strategies of predictor forecasts corresponding to three PPFMCP models. A Reliability Indicator (RI and a Loss function Indicator (LI are also introduced to give a measure of uncertainty of probabilistic price forecasts. The three PPFMCP models were satisfactorily applied to the real-world case study of the Iberian Electricity Market (MIBEL. Results from PPFMCP models showed that PPFMCP model 2, which uses aggregation by weight values according to daily ranks of predictors, was the best probabilistic meta-model from a point of view of mean absolute errors, as well as of RI and LI. PPFMCP model 1, which uses the averaging of predictor forecasts, was the second best meta-model. PPFMCP models allow evaluations of risk decisions based on the price to be made.

  17. Volatility spillover and time-varying conditional correlation between DDGS, corn, and soybean meal markets

    NARCIS (Netherlands)

    Etienne, Xiaoli L.; Trujillo-Barrera, Andrés; Hoffman, Linwood A.

    2017-01-01

    We find distiller's dried grains with solubles (DDGS) prices to be positively correlated with both corn and soybean meal prices in the long run. However, neither corn nor soybean meal prices respond to deviations from this long-run relationship. We also identify strong time-varying dynamic

  18. Optimal scheduling for electric heat booster under day-ahead electricity and heat pricing

    DEFF Research Database (Denmark)

    Cai, Hanmin; You, Shi; Bindner, Henrik W.

    2017-01-01

    Multi-energy system (MES) operation calls for active management of flexible resources across energy sectors to improve efficiency and meet challenging environmental targets. Electric heat booster, a solution for Domestic Hot Water (DHW) preparation under Low-Temperature-District-Heating (LTDH......) context, is identified as one of aforementioned flexible resources for electricity and heat sectors. This paper extends the concept of optimal load scheduling under day-ahead pricing from electricity sector only to both electricity and heat sectors. A case study constructing day-ahead energy prices...

  19. Price signals and investment incentives in wholesale electricity spot markets

    International Nuclear Information System (INIS)

    Vassilopoulos, Philippe

    2007-01-01

    We look at how prices from energy-only power markets can send the right signals and give the correct incentives for investments in production capacity. Through numerical simulations of spot prices over 2003-2005 we compare the investment signal sent by observed electricity prices in France and what would be competitive prices with an optimal mix and with the installed capacity. Observed prices tend to overestimate profitability for the base-load, making the signal too strong and underestimate profitability for the peak load, making the signal too weak. However, as a large share of consumers is still paying regulated tariffs, scarcity rents are capped. We simulate future prices for France for 2010 to 2020 to understand the incentives to invest. When the entry is free, the incentives to invest given by the future prices are consistent with the optimal mix including the interconnections and nuclear build is strong. With political or regulatory barriers to the construction of new power plants for new entrants (i.e. finding new sites), there are no incentives for the incumbent (that owns all existing base-load and peak load capacity) to add more nuclear capacity. In this situation, new entry would have to be coal or gas except if units are bid strategically to maintain profitability and market share. Moreover, it can also be profitable to limit prices and restrain entry in order to receive higher future revenues. When the base-load is less concentrated and instead of a dominant firm the nuclear capacity is divided into five (equal share) firms, the incentives to invest reappear and the threat of entry becomes more credible. (author) [fr

  20. The crucial relationship among energy commodity prices: Evidence from the Spanish electricity market

    International Nuclear Information System (INIS)

    Moutinho, Victor; Vieira, Joel; Carrizo Moreira, Antonio

    2011-01-01

    The main purpose of this article is twofold to analyze: (a) the long-term relation among the commodities prices and between spot electricity market price and commodity prices, and (b) the short-term dynamics among commodity prices and between electricity prices and commodity prices. Data between 2002 and 2005 from the Spanish electricity market was used. Econometric methods were used in the analysis of the commodity spot price, namely the vector autoregression model, the vector error correction model and the granger causality test. The co-integration approach was used to analyze the long-term relationship between the common stochastic trends of four fossil fuel prices. One of the findings in the long-term relation is that the prices of fuel and the prices of Brent are intertwined, though the prices of Brent ten to 'move' to reestablish the price equilibrium. Another finding is that the price of electricity is explained by the evolution of the natural gas series. - Highlights: → We model energy commodity prices in the Spanish electricity market. → We examine the short and long-term relationships among commodities prices. → We examine short and long-term relationships using co-integration techniques. → We found that in the long run the prices of fuel and Brent are intertwined. → The evolution of price of electricity is explained by the evolution of price of gas.

  1. Electricity prices and fuel costs. Long-run relations and short-run dynamics

    International Nuclear Information System (INIS)

    Mohammadi, Hassan

    2009-01-01

    The paper examines the long-run relation and short-run dynamics between electricity prices and three fossil fuel prices - coal, natural gas and crude oil - using annual data for the U.S. for 1960-2007. The results suggest (1) a stable long-run relation between real prices for electricity and coal (2) Bi-directional long-run causality between coal and electricity prices. (3) Insignificant long-run relations between electricity and crude oil and/or natural gas prices. And (4) no evidence of asymmetries in the adjustment of electricity prices to deviations from equilibrium. A number of implications are addressed. (author)

  2. Electricity prices in a competitive environment: Marginal cost pricing of generation services and financial status of electric utilities. A preliminary analysis through 2015

    International Nuclear Information System (INIS)

    1997-08-01

    The emergence of competitive markets for electricity generation services is changing the way that electricity is and will be priced in the United States. This report presents the results of an analysis that focuses on two questions: (1) How are prices for competitive generation services likely to differ from regulated prices if competitive prices are based on marginal costs rather than regulated open-quotes cost-of-serviceclose quotes pricing? (2) What impacts will the competitive pricing of generation services (based on marginal costs) have on electricity consumption patterns, production costs, and the financial integrity patterns, production costs, and the financial integrity of electricity suppliers? This study is not intended to be a cost-benefit analysis of wholesale or retail competition, nor does this report include an analysis of the macroeconomic impacts of competitive electricity prices

  3. Electricity prices in a competitive environment: Marginal cost pricing of generation services and financial status of electric utilities. A preliminary analysis through 2015

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1997-08-01

    The emergence of competitive markets for electricity generation services is changing the way that electricity is and will be priced in the United States. This report presents the results of an analysis that focuses on two questions: (1) How are prices for competitive generation services likely to differ from regulated prices if competitive prices are based on marginal costs rather than regulated {open_quotes}cost-of-service{close_quotes} pricing? (2) What impacts will the competitive pricing of generation services (based on marginal costs) have on electricity consumption patterns, production costs, and the financial integrity patterns, production costs, and the financial integrity of electricity suppliers? This study is not intended to be a cost-benefit analysis of wholesale or retail competition, nor does this report include an analysis of the macroeconomic impacts of competitive electricity prices.

  4. Pricing of reserves. Valuing system reserve capacity against spot prices in electricity markets

    International Nuclear Information System (INIS)

    Just, Sebastian; Weber, Christoph

    2008-01-01

    This paper models the interdependencies between markets for secondary reserve capacity and spot electricity to derive the pricing of reserves under equilibrium conditions. Starting with the indifference condition between offering in both markets, the reservation price is derived from the opportunity cost consideration and the unit commitment conditions in a fundamental interrelated market framework. The reserve market examined compares widely to the German market for secondary reserves, but the general approach may also be used to investigate other reserve markets. The approach explores and formalizes the influence of reserve capacity on the spot market supply function. A numerical solution procedure is provided to this non-trivial case of market interaction. The model is used to estimate the expected reservation price development over the last years in Germany. (author)

  5. Green pricing: Customer-oriented marketing of the electricity industry

    International Nuclear Information System (INIS)

    Weller, T.

    1998-01-01

    There are at present about 15 established projects launched by energy suppliers in Germany which deserve to be called ''green pricing'' marketing strategies, and about an equal number of further projects at various stages of development which also offer as a ''green'' incentive for customers electricity from renewable energy sources. Worldwide, there are about 50 established green pricing projects, offered primarily in the USA, Switzerland and the Netherlands, and in Germany. The targeted customers of these projects for the time being are exclusively households that cannot easily switch over to other than their local suppliers. It can be expected that with progressive market liberalisation in Great Britain, the USA and, finally, in Germany, competition for this customer group will rapidly increase the number of green pricing marketing projects in these countries. This is why the article here presents a thorough analysis of the specific features of green pricing contracts, their impact on enhanced development and application of the technology for electricity generation from renewables, and a forecast on future developments. (orig./CB) [de

  6. Forecasting electricity market pricing using artificial neural networks

    International Nuclear Information System (INIS)

    Pao, Hsiao-Tien

    2007-01-01

    Electricity price forecasting is extremely important for all market players, in particular for generating companies: in the short term, they must set up bids for the spot market; in the medium term, they have to define contract policies; and in the long term, they must define their expansion plans. For forecasting long-term electricity market pricing, in order to avoid excessive round-off and prediction errors, this paper proposes a new artificial neural network (ANN) with single output node structure by using direct forecasting approach. The potentials of ANNs are investigated by employing a rolling cross validation scheme. Out of sample performance evaluated with three criteria across five forecasting horizons shows that the proposed ANNs are a more robust multi-step ahead forecasting method than autoregressive error models. Moreover, ANN predictions are quite accurate even when the length of the forecast horizon is relatively short or long

  7. Evolution of electricity prices for households in Western Europe

    International Nuclear Information System (INIS)

    Cruciani, Michel

    2011-11-01

    The author reports a study of the evolution of electricity prices in the housing sector since the 1990's in the 15 countries who were then members of the European Union (Germany, Denmark, Spain, Belgium, Sweden, Austria, Ireland, Italy, Luxembourg, Netherlands, Portugal, United Kingdom, Finland, France and Greece). In a first part, he discusses trends and proposes some comparisons which show that the electricity price has been remaining almost steady for 15 years, and has much less increased that those of gas and oil products. He notices a rather large discrepancy between the 15 countries (a comparison takes taxes into account, and comparison is made with tax included or excluded). The second part proposes an analysis of the evolutions and influences of national energy policies for each country

  8. Impact of carbon cost on wholesale electricity price: A note on price pass-through issues

    Energy Technology Data Exchange (ETDEWEB)

    Kim, Wook [Korea Southern Power Co., 167, Samsung-dong, Gangnam-gu, Seoul 135-791 (Korea); Chattopadhyay, Deb [Saha International, Level 26, 385 Bourke Street, Melbourne, VIC 3000 (Australia); Park, Jong-bae [Electrical Engineering Department, Konkuk University, 1 Hwayang-dong, Kwanggin-gu, Seoul 143-701 (Korea)

    2010-08-15

    Carbon costs - either in the form of a carbon tax or through permit prices in an emissions trading scheme - would ultimately be reflected in higher electricity prices. Carbon cost ''pass-through'' is critical to the survival of existing coal generation assets and has been discussed widely as a measure of business impact in the electricity industry. This paper sets out in a structured way the factors that determine price pass-through and why this may differ greatly across different systems. Although the basic concept of price pass-through is simple, a clear understanding of the underlying factors is critical to developing insights on how carbon cost would impact on existing coal generation businesses. It is shown that pass-through can vary drastically if the underlying dispatch potential of generators varies significantly across alternative emissions reduction scenarios. It can also vary depending on the availability of competing cleaner forms of generation. Pass-through as a measure of business performance is, therefore, hard to generalize across different circumstances and should be interpreted carefully. (author)

  9. The electricity prices in the European Union. The role of renewable energies and regulatory electric market reforms

    International Nuclear Information System (INIS)

    Moreno, Blanca; López, Ana J.; García-Álvarez, María Teresa

    2012-01-01

    The European Union electricity market has been gradually liberalized since 1990s. Theoretically, competitive markets should lead to efficiency gains in the economy thus reducing electricity prices. However, there is a controversial debate about the real effects of the electricity liberalization on electricity prices. Moreover, the increased generation of electricity from renewable energies RES-E (Electricity from Renewable Energy Sources) is also integrated in wholesale market reducing wholesale prices, but the final effect over household prices is not clear. In order to contribute to this debate, this paper provides an empirical investigation into the electricity prices determinants. In fact we develop econometric panel models to explore the relationship between the household electricity prices and variables related to the renewable energy sources and the competition in generation electricity market. More specifically we use a panel data set provided by Eurostat and covering 27 European Union countries during the period 1998–2009. Our results suggest that electricity prices increase with the deployment of RES-E and with the expansion of greenhouse gas emissions produced by energy industries- as a European Union CO 2 emission trading scheme exists. Results also reveal that country's characteristics can affect household electricity prices. -- Highlights: ► Electricity liberalized markets should lead to reduce electricity prices. ► The use of renewable energies (RES) reduce wholesale electricity prices. ► However, household electricity prices are increasing in European Union. ► Panel data models are developed to investigate the effect of RES and electricity competition on household electricity prices. ► We find that the deployment of RES increases prices paid by consumers in a liberalized market.

  10. The relationship between electricity consumption, electricity prices and GDP in Pakistan

    International Nuclear Information System (INIS)

    Jamil, Faisal; Ahmad, Eatzaz

    2010-01-01

    This study analyzes the relationship among electricity consumption, its price and real GDP at the aggregate and sectoral level in Pakistan. Using annual data for the period 1960-2008, the study finds the presence of unidirectional causality from real economic activity to electricity consumption. In particular, growth in output in commercial, manufacturing and agricultural sectors tend to increase electricity consumption, while in residential sector, growth in private expenditures is the cause of rising electricity consumption. The study concludes that electricity production and management needs to be better integrated with overall economic planning exercises. This is essential to avoid electricity shortfalls and unplanned load shedding.

  11. Distribution Locational Marginal Pricing for Optimal Electric Vehicle Charging Management

    DEFF Research Database (Denmark)

    Li, Ruoyang; Wu, Qiuwei; Oren, Shmuel S.

    2013-01-01

    This paper presents an integrated distribution locational marginal pricing (DLMP) method designed to alleviate congestion induced by electric vehicle (EV) loads in future power systems. In the proposed approach, the distribution system operator (DSO) determines distribution locational marginal...... shown that the socially optimal charging schedule can be implemented through a decentralized mechanism where loads respond autonomously to the posted DLMPs by maximizing their individual net surplus...

  12. Conditional CAPM: Time-varying Betas in the Brazilian Market

    Directory of Open Access Journals (Sweden)

    Frances Fischberg Blank

    2014-10-01

    Full Text Available The conditional CAPM is characterized by time-varying market beta. Based on state-space models approach, beta behavior can be modeled as a stochastic process dependent on conditioning variables related to business cycle and estimated using Kalman filter. This paper studies alternative models for portfolios sorted by size and book-to-market ratio in the Brazilian stock market and compares their adjustment to data. Asset pricing tests based on time-series and cross-sectional approaches are also implemented. A random walk process combined with conditioning variables is the preferred model, reducing pricing errors compared to unconditional CAPM, but the errors are still significant. Cross-sectional test show that book-to-market ratio becomes less relevant, but past returns still capture cross-section variation

  13. Loss aversion and price volatility as determinants of attitude towards and preference for variable price in the Swedish electricity market

    International Nuclear Information System (INIS)

    Juliusson, E. Asgeir; Gamble, Amelie; Gaerling, Tommy

    2007-01-01

    The results of a survey of a random sample of 488 Swedish residents showed that a positive attitude towards and preference for a variable price agreement with the incumbent electricity supplier was negatively affected by loss aversion, and a positive attitude also negatively affected by beliefs about price volatility. Although correlated with attitude and preference, age, education, and current choice of a variable price agreement had no independent effects. Income and current electricity costs had no effects. (author)

  14. Auction development for the price-based electric power industry

    Science.gov (United States)

    Dekrajangpetch, Somgiat

    The restructuring of the electric power industry is to move away from the cost-based monopolistic environment of the past to the priced-based competitive environment. As the electric power industry is restructuring in many places, there are still many problems that need to be solved. The work in this dissertation contributes to solve some of the electric power auction problems. The majority of this work is aimed to help develop good markets. A LaGrangian relaxation (LR) Centralized Daily Commitment Auction (CDCA) has been implemented. It has been shown that the solution might not be optimal nor fair to some generation companies (GENCOs) when identical or similar generating units participate in a LR CDCA based auction. Supporting information for bidding strategies on how to change unit data to enhance the chances of bid acceptance has been developed. The majority of this work is based on Single Period Commodity Auction (SPCA). Alternative structures for the SPCA are outlined. Whether the optimal solution is degenerated is investigated. Good pricing criteria are summarized and the pricing method following good pricing criteria is developed. Electricity is generally considered as a homogeneous product. When availability level is used as additional characteristic to distinct electricity, electricity can be considered a heterogeneous product. The procedure to trade electricity as a heterogeneous product is developed. The SPCA is formulated as a linear program. The basic IPLP algorithm has been extended so that sensitivity analysis can be performed as in the simplex method. Sensitivity analysis is used to determine market reach. Additionally, sensitivity analysis is used in combination with the investigation of historical auction results to provide raw data for power system expansion. Market power is a critical issue in electric power deregulation. Firms with market power have an advantage over other competitor firms in terms of market reach. Various approaches to

  15. Electricity prices forecasting by automatic dynamic harmonic regression models

    International Nuclear Information System (INIS)

    Pedregal, Diego J.; Trapero, Juan R.

    2007-01-01

    The changes experienced by electricity markets in recent years have created the necessity for more accurate forecast tools of electricity prices, both for producers and consumers. Many methodologies have been applied to this aim, but in the view of the authors, state space models are not yet fully exploited. The present paper proposes a univariate dynamic harmonic regression model set up in a state space framework for forecasting prices in these markets. The advantages of the approach are threefold. Firstly, a fast automatic identification and estimation procedure is proposed based on the frequency domain. Secondly, the recursive algorithms applied offer adaptive predictions that compare favourably with respect to other techniques. Finally, since the method is based on unobserved components models, explicit information about trend, seasonal and irregular behaviours of the series can be extracted. This information is of great value to the electricity companies' managers in order to improve their strategies, i.e. it provides management innovations. The good forecast performance and the rapid adaptability of the model to changes in the data are illustrated with actual prices taken from the PJM interconnection in the US and for the Spanish market for the year 2002. (author)

  16. Comparative analysis of features of Polish and Lithuanian Day-ahead electricity market prices

    International Nuclear Information System (INIS)

    Bobinaite, Viktorija; Juozapaviciene, Aldona; Staniewski, Marcin; Szczepankowski, Piotr

    2013-01-01

    The goal of this article is to better understand the processes of electricity market price formation in Poland and Lithuania through an analysis of the features (volatility and spikes) of Lithuanian and Polish day-ahead electricity market prices and to assess how acquired electricity price features could affect the achievement of the main goals of the national energy policy. The following indicators have been calculated to determine electricity market price volatility: the oscillation coefficient, the coefficient of variation, an adjusted coefficient of variation, the standard deviation indicator, the daily velocity indicator (based on the overall average price) and the daily velocity indicator (based on the daily average price). Critical values for electricity market price have been calculated to evaluate price spikes. This analysis reveals that electricity market-price volatility is moderate in Poland and high in Lithuania. Electricity price spikes have been an observable phenomenon both in Lithuanian and in Polish day-ahead electricity markets, but they are more common in Lithuania, encompassing 3.15% of the time period analysed in Poland and 4.68% of the time period analysed in Lithuania. Volatile, spiking and increasing electricity prices in day-ahead electricity markets in Lithuania and Poland create preconditions and substantiate the relevance of implementation of the national energy policies and measures. - Highlights: • Moderate and seasonal volatility. • spiking market price and. • stable average price

  17. A Vector Autoregressive Model for Electricity Prices Subject to Long Memory and Regime Switching

    DEFF Research Database (Denmark)

    Haldrup, Niels; Nielsen, Frank; Nielsen, Morten Ørregaard

    2007-01-01

    A regime dependent VAR model is suggested that allows long memory (fractional integration) in each of the regime states as well as the possibility of fractional cointegra- tion. The model is relevant in describing the price dynamics of electricity prices where the transmission of power is subject...... to occasional congestion periods. For a system of bilat- eral prices non-congestion means that electricity prices are identical whereas congestion makes prices depart. Hence, the joint price dynamics implies switching between essen- tially a univariate price process under non-congestion and a bivariate price...

  18. Three essays on pricing and risk management in electricity markets

    Science.gov (United States)

    Kotsan, Serhiy

    2005-07-01

    A set of three papers forms this dissertation. In the first paper I analyze an electricity market that does not clear. The system operator satisfies fixed demand at a fixed price, and attempts to minimize "cost" as indicated by independent generators' supply bids. No equilibrium exists in this situation, and the operator lacks information sufficient to minimize actual cost. As a remedy, we propose a simple efficient tax mechanism. With the tax, Nash equilibrium bids still diverge from marginal cost but nonetheless provide sufficient information to minimize actual cost, regardless of the tax rate or number of generators. The second paper examines a price mechanism with one price assigned for each level of bundled real and reactive power. Equilibrium allocation under this pricing approach raises system efficiency via better allocation of the reactive power reserves, neglected in the traditional pricing approach. Pricing reactive power should be considered in the bundle with real power since its cost is highly dependent on real power output. The efficiency of pricing approach is shown in the general case, and tested on the 30-bus IEEE network with piecewise linear cost functions of the generators. Finally the third paper addresses the problem of optimal investment in generation based on mean-variance portfolio analysis. It is assumed the investor can freely create a portfolio of shares in generation located on buses of the electrical network. Investors are risk averse, and seek to minimize the variance of the weighted average Locational Marginal Price (LMP) in their portfolio, and to maximize its expected value. I conduct simulations using a standard IEEE 68-bus network that resembles the New York - New England system and calculate LMPs in accordance with the PJM methodology for a fully optimal AC power flow solution. Results indicate that the network topology is a crucial determinant of the investment decision as line congestion makes it difficult to deliver power to

  19. Time-Varying Periodicity in Intraday Volatility

    DEFF Research Database (Denmark)

    Andersen, Torben Gustav; Thyrsgaard, Martin; Todorov, Viktor

    We develop a nonparametric test for deciding whether return volatility exhibits time-varying intraday periodicity using a long time-series of high-frequency data. Our null hypothesis, commonly adopted in work on volatility modeling, is that volatility follows a stationary process combined...... with a constant time-of-day periodic component. We first construct time-of-day volatility estimates and studentize the high-frequency returns with these periodic components. If the intraday volatility periodicity is invariant over time, then the distribution of the studentized returns should be identical across...... with estimating volatility moments through their sample counterparts. Critical values are computed via easy-to-implement simulation. In an empirical application to S&P 500 index returns, we find strong evidence for variation in the intraday volatility pattern driven in part by the current level of volatility...

  20. Flexible time-varying filter banks

    Science.gov (United States)

    Tuncer, Temel E.; Nguyen, Truong Q.

    1993-09-01

    Linear phase maximally flat FIR Butterworth filter approximations are discussed and a new filter design method is introduced. This variable cutoff filter design method uses the cosine modulated versions of a prototype filter. The design procedure is simple and different variants of this procedure can be used to obtain close to optimum linear phase filters. Using this method, flexible time-varying filter banks with good reconstruction error are introduced. These types of oversampled filter banks have small magnitude error which can be easily controlled by the appropriate choice of modulation frequency. This error can be further decreased by magnitude equalization without increasing the computational complexity considerably. Two dimensional design examples are also given.

  1. Investments and price formation in a liberalized electric power market

    International Nuclear Information System (INIS)

    Morthorst, P.E.

    2005-05-01

    How will the electric power prices in the Nordic electric power market develop if the generation capacity in the coming 10 to 15 years is increased considerably? And what are the conditions for investors to initiate new investments in power plants? Briefly speaking - these are the issues for the project that is reported in this report. The basis for the project has been the Nordic electric power market model and its capability to handle the future extension of the necessary generating capacity. The main issue in the project has been a quantitative analysis of what the prices in the Nordic electric power market will be in the future, depending on the size of new investments in the power generating capacity. Using the Balmorel model, a basic scenario until the year 2020 is made which contains the present decisions about capacity extension only. Up to 2010 this basic scenario can be seen as a probable development. For the period 2010 to 2020, however, the calculations can primarily be seen as illustrations of how the prices may develop, provided that no further investments are made. Thus, for the period 2010 - 2020 it is a 'worst case' that has been analysed. In the basic scenario several cases for the year 2015 are analysed, among others the consequences of wet and dry years and an unusually cold winter. The project also analyses how the price development impacts the profitability of new investments in power capacity, depending on several exogenous events, like use of more wind power and the price on the carbon dioxide market. The analyses present three cases: 1) A single investor not owing other power plants, 2) a single investor owing a number of power plants in which case a new plant will compete with him self, 3) two competing investors investing in the same known power plants. In all cases investments are made in a natural gas combined cycle plant producing both electric power and heat. Furthermore, the investor's own possibility to time his investment has been

  2. Time varying, multivariate volume data reduction

    Energy Technology Data Exchange (ETDEWEB)

    Ahrens, James P [Los Alamos National Laboratory; Fout, Nathaniel [UC DAVIS; Ma, Kwan - Liu [UC DAVIS

    2010-01-01

    Large-scale supercomputing is revolutionizing the way science is conducted. A growing challenge, however, is understanding the massive quantities of data produced by large-scale simulations. The data, typically time-varying, multivariate, and volumetric, can occupy from hundreds of gigabytes to several terabytes of storage space. Transferring and processing volume data of such sizes is prohibitively expensive and resource intensive. Although it may not be possible to entirely alleviate these problems, data compression should be considered as part of a viable solution, especially when the primary means of data analysis is volume rendering. In this paper we present our study of multivariate compression, which exploits correlations among related variables, for volume rendering. Two configurations for multidimensional compression based on vector quantization are examined. We emphasize quality reconstruction and interactive rendering, which leads us to a solution using graphics hardware to perform on-the-fly decompression during rendering. In this paper we present a solution which addresses the need for data reduction in large supercomputing environments where data resulting from simulations occupies tremendous amounts of storage. Our solution employs a lossy encoding scheme to acrueve data reduction with several options in terms of rate-distortion behavior. We focus on encoding of multiple variables together, with optional compression in space and time. The compressed volumes can be rendered directly with commodity graphics cards at interactive frame rates and rendering quality similar to that of static volume renderers. Compression results using a multivariate time-varying data set indicate that encoding multiple variables results in acceptable performance in the case of spatial and temporal encoding as compared to independent compression of variables. The relative performance of spatial vs. temporal compression is data dependent, although temporal compression has the

  3. Equilibrium pricing in electricity markets with wind power

    Science.gov (United States)

    Rubin, Ofir David

    Estimates from the World Wind Energy Association assert that world total wind power installed capacity climbed from 18 Gigawatt (GW) to 152 GW from 2000 to 2009. Moreover, according to their predictions, by the end of 2010 global wind power capacity will reach 190 GW. Since electricity is a unique commodity, this remarkable expansion brings forward several key economic questions regarding the integration of significant amount of wind power capacity into deregulated electricity markets. The overall dissertation objective is to develop a comprehensive theoretical framework that enables the modeling of the performance and outcome of wind-integrated electricity markets. This is relevant because the state of knowledge of modeling electricity markets is insufficient for the purpose of wind power considerations. First, there is a need to decide about a consistent representation of deregulated electricity markets. Surprisingly, the related body of literature does not agree on the very economic basics of modeling electricity markets. That is important since we need to capture the fundamentals of electricity markets before we introduce wind power to our study. For example, the structure of the electric industry is a key. If market power is present, the integration of wind power has large consequences on welfare distribution. Since wind power uncertainty changes the dynamics of information it also impacts the ability to manipulate market prices. This is because the quantity supplied by wind energy is not a decision variable. Second, the intermittent spatial nature of wind over a geographical region is important because the market value of wind power capacity is derived from its statistical properties. Once integrated into the market, the distribution of wind will impact the price of electricity produced from conventional sources of energy. Third, although wind power forecasting has improved in recent years, at the time of trading short-term electricity forwards, forecasting

  4. Electricity spot price forecasting in free power market

    International Nuclear Information System (INIS)

    Lilleberg, J.; Laitinen, E.K.

    1998-01-01

    Deregulation has brought many changes to the electricity market. Freedom of choice has been granted to both the consumers and the utilities. Consumers may choose the seller of their energy. Utilities have a wider array of sources to acquire their electricity from. Also the types of sales contracts used are changing to fill the needs of this new situation. The consumers' right to choose has introduced a new risk uncertainty of volume, which was not true during the times of monopoly. As sold volume is unsure and the energy is not sold on same terms as it is bought, a price risk has to be dealt with also. The electric utility has to realize this, select a risk level that suits its business strategy and optimize its actions according to the selected risk level. The number of participants will grow as the electricity market integrates into a common market for Scandinavia and even Europe. Big customers are also taking a more active role in the market, further increasing the number of participants. This makes old bilateral arrangements outdated. New tools are needed to control the new business environment. The goal of this project has been to develop a theoretical model to predict the price in the Finnish electricity exchange, El-Ex Oy. An extensive literature review was conducted in order to (1) examine the solutions in deregulation of electricity markets in other countries, esp. in Norway and UK, (2) find similarities and differences in electricity exchange and exchanges generally and (3) find major sources of problems and inefficiency in the market

  5. Electricity spot price forecasting in free power market

    Energy Technology Data Exchange (ETDEWEB)

    Lilleberg, J; Laitinen, E K [Vaasa Univ. (Finland)

    1998-08-01

    Deregulation has brought many changes to the electricity market. Freedom of choice has been granted to both the consumers and the utilities. Consumers may choose the seller of their energy. Utilities have a wider array of sources to acquire their electricity from. Also the types of sales contracts used are changing to fill the needs of this new situation. The consumers` right to choose has introduced a new risk uncertainty of volume, which was not true during the times of monopoly. As sold volume is unsure and the energy is not sold on same terms as it is bought, a price risk has to be dealt with also. The electric utility has to realize this, select a risk level that suits its business strategy and optimize its actions according to the selected risk level. The number of participants will grow as the electricity market integrates into a common market for Scandinavia and even Europe. Big customers are also taking a more active role in the market, further increasing the number of participants. This makes old bilateral arrangements outdated. New tools are needed to control the new business environment. The goal of this project has been to develop a theoretical model to predict the price in the Finnish electricity exchange, El-Ex Oy. An extensive literature review was conducted in order to (1) examine the solutions in deregulation of electricity markets in other countries, esp. in Norway and UK, (2) find similarities and differences in electricity exchange and exchanges generally and (3) find major sources of problems and inefficiency in the market

  6. Carbon price signal. Impact Analysis on the European Electricity System

    International Nuclear Information System (INIS)

    2016-03-01

    The Paris Agreement signed by 195 countries late in December 2015, after COP 21, created a new basis for efficient cooperation between countries in the fight against climate change. The technologies being rolled out by the electricity sector will have very different impacts on climate change and, for the time being, investments other than public aid for renewable energies are being guided primarily by prices. To shed more slight on the issue of greenhouse gas emissions, which is closely related to the challenges addressed at COP21, RTE initiated a study in 2015 based on the models used in its Generation Adequacy Report. ADEME wanted to contribute to this effort and offer its support. The present document outlines the approach taken to assessing the impact of the carbon price signal on emissions from the European electric power system, its production costs and its structural evolution over the medium term. This approach was discussed with members of the 'Network Outlook Committee' of the Transmission System Users' Committee which includes environmental NGOs as well as the main economic actors from the power sector. Key findings resulting from the analysis developed in this report include: Simulations conducted with the current generation fleet show that the carbon price would have to be close to euro 30/tonne at the European level to drive a significant reduction in emissions (about 100 million tonnes a year, or 15 %) from the European power sector. A higher price of about euro 100/tonne would help drive an emissions reduction of close to 30%. Over the medium and long terms, beyond an impact on the number of hours fossil fuel power plants would be run, having a high carbon price would send a signal encouraging investment in renewable energies and could incentivise the development of flexible and storage capacity. It would notably guarantee the profitability of gas-fired plants and renewable power development. The following assumptions are factored into the study

  7. Introducing of Green Pricing in the Korean Electricity Sector

    Energy Technology Data Exchange (ETDEWEB)

    Boo, K.J. [Korea Energy Economics Institute, Euiwang (Korea)

    2001-11-01

    In recent years, the Korean electricity sector has been undergoing restructuring, represented by de-regulation and promotion of competition. Competition will, eventually, force electricity power producers to overly rely on cheap fuels such as coal and nuclear in order to reduce the cost of power generation, which is against the international Green Round, including the UNFCCC. Accordingly, some measures are needed not to let such an market failure discourage the efforts to protect the environment. Up to date, a number of policy measures have been worked out by the Korean government to promote the use of renewable energy in power generation. Such efforts, however, have not been quite successful. Innovative policy tools are called for to promote renewable energy-base power generation in the emerging competitive electricity market. Among various approaches that have been tried and worked out in the developed countries to adequately address this problem, a most popular approach is green pricing. Green pricing is to let the customers pay for the additional cost incurred from installing renewable energy-based generating facilities, consequently making it viable and promoting an increased use of renewables in the power generation. Accordingly, a market research to investigate the willingness to pay for this premium was conducted as a prerequisite to design a green pricing. The major findings of this market research are: First, while limited to the industrial and buildings sectors, awareness of environmental and green pricing is not so disappointing as compared with those in the develop countries(41.3%). Second, companies have not yet fully developed the concept of green pricing and are mainly motivated to purchase green power in the perspective of a great cause rather than in pursuit of direct and indirect economic benefits. Third, regarding fuel choice for power generation, respondents express a strong opposition to nuclear, coal, and oil, while they are more favorable to

  8. Evaluation of dynamic pass-through of carbon prices into electricity prices – a cointegrated VECM analysis

    OpenAIRE

    Freitas, Carlos J. Pereira; Silva, Patrícia Pereira da

    2013-01-01

    This paper addresses the impact of the CO2 opportunity cost on the wholesale electricity price in the context of the Iberian electricity market (MIBEL), namely on the Portuguese system, for the period corresponding to the Phase II of the European Union Emission Trading Scheme (EU ETS). In the econometric analysis a vector error correction model (VECM) is specified to estimate both long–run equilibrium relations and short–run interactions between the electricity price and the fuel (natural gas...

  9. Price Forecasting of Electricity Markets in the Presence of a High Penetration of Wind Power Generators

    OpenAIRE

    Saber Talari; Miadreza Shafie-khah; Gerardo J. Osório; Fei Wang; Alireza Heidari; João P. S. Catalão

    2017-01-01

    Price forecasting plays a vital role in the day-ahead markets. Once sellers and buyers access an accurate price forecasting, managing the economic risk can be conducted appropriately through offering or bidding suitable prices. In networks with high wind power penetration, the electricity price is influenced by wind energy; therefore, price forecasting can be more complicated. This paper proposes a novel hybrid approach for price forecasting of day-ahead markets, with high penetration of wind...

  10. Electricity pricing policy and rational energy use and conservation

    International Nuclear Information System (INIS)

    Faure-Mallen, A.

    1995-01-01

    With a threefold combination of rate system /R and D industrial policy/ communication and information for customers, the French electrical system appears as a major actor in Demand Side Management. Especially, the electricity tariffs are a cost reflective rate system which had been implemented and adapted over several decades with an efficient impact on national electricity load curve. As a part of IRP (integrated resources planning), within the global regulation of the energy supply and demand system, tariffs based on marginal costs have a double function: 1) tariffs reflect costs of different kind of supplies; 2) tariffs are an economic signal for customers. These pricing principles alone provide incentive for energy savings through peak-day-demand-reduction of transfer to less costly off-peak period, when they are economically sound

  11. Electric Vehicle Smart Charging using Dynamic Price Signal

    DEFF Research Database (Denmark)

    Martinenas, Sergejus; Pedersen, Anders Bro; Marinelli, Mattia

    2014-01-01

    , however, be resolved by using intelligent EV charging strategies, commonly referred to as ”Smart Charging”. The basic approach involves modifying the default vehicle charging scheme of ”immediate charging”, to a more optimal one that is derived from insight into the current state of the grid. This work......With yearly increases in Electric Vehicle (EV) sales, the future for electric mobility continues to brighten, and with more vehicles hitting the roads every day, the energy requirements on the grid will increase, potentially causing low-voltage distribution grid congestion. This problem can...... proposed in this paper, involves a real-time control strategy for charging the EV using a dynamic price tariff, with the objective of minimizing the charging cost. Two different charging scenario are investigated, and the results are verified by experiments on a real Electric Vehicle. Finally, the costs...

  12. Electricity prices in France. From reality to perspectives in competition

    International Nuclear Information System (INIS)

    Leban, R.

    1999-01-01

    The French system of electricity pricing is based upon the principle of 'sale at development cost' or 'marginal long-term cost'. Drawing up prices is based upon a calculation of the marginal production costs carried out from time to time on the margins of the network for the years to come in accordance with demand forecasts and based upon a statistical but detailed appreciation of marginal transport costs. Gradually refined in order to take account of changes in demand and increases in the capacity of clients to respond to price signals, the system today appears to be highly complex. On the other hand this system possesses unequaled properties to encourage clients to consume wisely and boasts a recognised theoretical force. The long-term failure of the network to adapt may lead to an increasing focus on marginal short-term real costs, with as consequence the drastic reduction of seasonal variations. The difference with development cost pricing is fairly imperceptible in fine if, in order for a stable signal to exist, the short-term costs are averaged over future years. The continued existence of non-eligible customer segments and the existence (at least for several years) of dominant positions in those open to competition mean that there is a risk of cross-subsidies and predatory pricing being employed, risk that the regulator must restrict. The idea of avoiding cross-subsidies by imposing prices at marginal development costs as the ceiling for the prices charged to non-eligible clients, the use of the marginal short-term real costs of the operator to define the variable costs below which there is a predatory situation, and the use of the above mentioned marginal development costs to specify the total supply costs above which a predatory situation is no longer applicable appears tempting for three reasons. These costs always make sense on a legal and economic level, they may be determined easily due to the pricing decisions agreed with the EDF and the mechanisms

  13. On the correlation of electricity spot market prices and photovoltaic electricity generation

    International Nuclear Information System (INIS)

    Meyer, Tim; Luther, Joachim

    2004-01-01

    Discussions about market introduction of grid connected photovoltaics (PV) and its costs usually concentrate only on the gross energy produced without taking the time dependency of electricity prices and, thus, the time dependency of the value of PV electricity into account. To make a first approximation of what the effect of the time variance of electricity cost on the value of PV electricity is, the correlation with spot market prices is analysed in this paper. PV is not dispatchable by nature, but is relatively well predictable in the range of one day, if the average of spatially dispersed systems is considered. Thus, this correlation gives a good indication for the additional value of PV electricity

  14. On the correlation of electricity spot market prices and photovoltaic electricity generation

    International Nuclear Information System (INIS)

    Meyer, T.; Luther, J.

    2004-01-01

    Discussions about market introduction of grid connected photovoltaics (PV) and its costs usually concentrate only on the gross energy produced without taking the time dependency of electricity prices and, thus, the time dependency of the value of PV electricity into account. To make a first approximation of what the effect of the time variance of electricity cost on the value of PV electricity is, the correlation with spot market prices is analysed in this paper. PV is not dispatchable by nature, but is relatively well predictable in the range of one day, if the average of spatially dispersed systems is considered. Thus, this correlation gives a good indication for the additional value of PV electricity. (Author)

  15. Costing and pricing electric power reserve services. Final report

    International Nuclear Information System (INIS)

    Kirsch, L.D.; Rajaraman, R.; Clark, C.

    1997-12-01

    In the competitive electric power markets of the imminent future, reserves will be the second largest generation service in terms of their revenues and profits. Because reserves will be more widely traded than at present, they will be provided by the cheapest available sources regardless of the ownership of those sources. Price will determine the willingness of generators and consumers to provide reserve services; and it may also determine the willingness of reserve users to purchase reserve services. This report presents a methodology by which generation firms and merchant firms can profitably cost and price the reserve services that they offer. The methodology is generally applicable to a wide range of market structures that such firms might face

  16. Trends in prices to commercial energy consumers in the competitive Texas electricity market

    International Nuclear Information System (INIS)

    Zarnikau, Jay; Fox, Marilyn; Smolen, Paul

    2007-01-01

    To date, the price of electricity to commercial or business energy consumers has generally increased at greater rates in the areas of Texas where retail competition has been introduced than in areas that do not enjoy competition. Trends in commercial competitive prices have largely mirrored trends in residential prices. Market restructuring has tended to increase the sensitivity of retail electricity prices to changes in the price of natural gas, the marginal fuel used for generation in Texas. Consequently, the rapid increases in the commodity price of natural gas following restructuring led to increases in competitive electric rates which exceeded the increases in areas not exposed to restructuring, where the fuel component of electric rates tend to reflect a weighted average of the utilities' fuel costs. There is some evidence that pricing behavior by competitive retailers changed when the retailers affiliated with the incumbent utilities were permitted some pricing flexibility, resulting in a reduction in prices. (author)

  17. Modelling tourists arrival using time varying parameter

    Science.gov (United States)

    Suciptawati, P.; Sukarsa, K. G.; Kencana, Eka N.

    2017-06-01

    The importance of tourism and its related sectors to support economic development and poverty reduction in many countries increase researchers’ attentions to study and model tourists’ arrival. This work is aimed to demonstrate time varying parameter (TVP) technique to model the arrival of Korean’s tourists to Bali. The number of Korean tourists whom visiting Bali for period January 2010 to December 2015 were used to model the number of Korean’s tourists to Bali (KOR) as dependent variable. The predictors are the exchange rate of Won to IDR (WON), the inflation rate in Korea (INFKR), and the inflation rate in Indonesia (INFID). Observing tourists visit to Bali tend to fluctuate by their nationality, then the model was built by applying TVP and its parameters were approximated using Kalman Filter algorithm. The results showed all of predictor variables (WON, INFKR, INFID) significantly affect KOR. For in-sample and out-of-sample forecast with ARIMA’s forecasted values for the predictors, TVP model gave mean absolute percentage error (MAPE) as much as 11.24 percent and 12.86 percent, respectively.

  18. TIME-VARYING DYNAMICAL STAR FORMATION RATE

    Energy Technology Data Exchange (ETDEWEB)

    Lee, Eve J.; Chang, Philip; Murray, Norman, E-mail: evelee@berkeley.edu [Canadian Institute for Theoretical Astrophysics, 60 St. George Street, University of Toronto, Toronto, ON M5S 3H8 (Canada)

    2015-02-10

    We present numerical evidence of dynamic star formation in which the accreted stellar mass grows superlinearly with time, roughly as t {sup 2}. We perform simulations of star formation in self-gravitating hydrodynamic and magnetohydrodynamic turbulence that is continuously driven. By turning the self-gravity of the gas in the simulations on or off, we demonstrate that self-gravity is the dominant physical effect setting the mass accretion rate at early times before feedback effects take over, contrary to theories of turbulence-regulated star formation. We find that gravitational collapse steepens the density profile around stars, generating the power-law tail on what is otherwise a lognormal density probability distribution function. Furthermore, we find turbulent velocity profiles to flatten inside collapsing regions, altering the size-line width relation. This local flattening reflects enhancements of turbulent velocity on small scales, as verified by changes to the velocity power spectra. Our results indicate that gas self-gravity dynamically alters both density and velocity structures in clouds, giving rise to a time-varying star formation rate. We find that a substantial fraction of the gas that forms stars arrives via low-density flows, as opposed to accreting through high-density filaments.

  19. Dynamic pricing of electricity for residential customers. The evidence from Michigan

    Energy Technology Data Exchange (ETDEWEB)

    Faruqui, A.; Akaba, L. [The Brattle Group, 201 Mission Street, Suite 2800, San Francisco, CA 94105 (United States); Sergici, S. [The Brattle Group, 44 Brattle Street, Cambridge, MA 02138 (United States)

    2013-08-15

    The rollout of smart meters has enabled the provision of dynamic pricing to residential customers. However, doubts remain whether households can respond to time-varying price signals and that is preventing the full-scale rollout of dynamic pricing and the attainment of economic efficiency. Experiments are being conducted to test price responsiveness. We analyze data from a pilot in Michigan which featured two dynamic pricing rates and an enabling technology. Unlike most other pilots, it also included a group of 'information only' customers who were provided information on time-varying prices but billed on standard rates. Similarly, unlike most other pilots, it also included two control groups, one of whom knew they were in the pilot and one of whom did not. This was designed to test for the presence of a Hawthorne effect. Consistent with the large body of experimental literature, we find that customers, including low-income participants, do respond to dynamic pricing. We also find that the response to critical peak pricing rates is similar to the response to peak time rebates, consistent with the finding of one prior experiment but inconsistent with the finding of two prior experiments. We also find that the 'information only' customers respond to the provision of pricing information but at a substantially lower rate than the customers on dynamic pricing. We find that the response to enabling technology is muted. We do not find any evidence to suggest that a Hawthorne effect existed in this experiment.

  20. Strategic pricing of grid access under partial price-caps. Electricity distribution in England and Wales

    International Nuclear Information System (INIS)

    Riechmann, C.

    2000-01-01

    It is perceived in public debate that monopolistic network operators (who are vertically integrated into competitively organised activities) would raise excessive access charges to derail competition by newcomers. Economic reasoning, however, suggests that the level of access charges is, at least in a simple setting, irrelevant for the intensity of entry by newcomers. In a setting where access charges are price-cap regulated, theoretical considerations and empirical findings for the case of electricity distribution in England and Wales even suggest that inefficiently high access charges correspond with intense market entry. Efficiency concerns remain, nonetheless. If regulated by a practicable partial price-cap, the network operator may enforce monopolistic access charges in certain market segments. Access charges in other segments may be lowered strategically and may even be cross-subsidised. 36 refs

  1. Impact of the carbon price on the integrating European electricity market

    International Nuclear Information System (INIS)

    Aatola, Piia; Ollikainen, Markku; Toppinen, Anne

    2013-01-01

    We study the impact of the carbon price on the integrating electricity market in the EU. Our theoretical framework suggests that the price of carbon has a positive but uneven impact on electricity prices depending on the marginal production plant. The carbon price may increase price differences in the short run. We apply time series analysis on daily forward data from 2003 to 2011 and investigate whether we can find empirical evidence for our analytical findings. Our results support the hypotheses that integration in electricity prices has increased over time and that the carbon price has a positive but uneven impact on the integration of prices. - Highlights: • We model the integrating European electricity market under emissions trading scheme. • We examine the impact of carbon price on the electricity market prices. • We test theoretical hypotheses with econometric models. • Results show carbon price has a positive but uneven impact on electricity prices. • Integration among electricity prices has increased during 2003–2011

  2. The Combination Forecasting of Electricity Price Based on Price Spikes Processing: A Case Study in South Australia

    Directory of Open Access Journals (Sweden)

    Jianzhou Wang

    2014-01-01

    Full Text Available Electricity price forecasting holds very important position in the electricity market. Inaccurate price forecasting may cause energy waste and management chaos in the electricity market. However, electricity price forecasting has always been regarded as one of the largest challenges in the electricity market because it shows high volatility, which makes electricity price forecasting difficult. This paper proposes the use of artificial intelligence optimization combination forecasting models based on preprocessing data, called “chaos particles optimization (CPSO weight-determined combination models.” These models allow for the weight of the combined model to take values of [-1,1]. In the proposed models, the density-based spatial clustering of applications with noise (DBSCAN algorithm is used to identify outliers, and the outliers are replaced by a new data-produced linear interpolation function. The proposed CPSO weight-determined combination models are then used to forecast the projected future electricity price. In this case study, the electricity price data of South Australia are simulated. The results indicate that, while the weight of the combined model takes values of [-1,1], the proposed combination model can always provide adaptive, reliable, and comparatively accurate forecast results in comparison to traditional combination models.

  3. A Regional Time-of-Use Electricity Price Based Optimal Charging Strategy for Electrical Vehicles

    Directory of Open Access Journals (Sweden)

    Jun Yang

    2016-08-01

    Full Text Available With the popularization of electric vehicles (EVs, the out-of-order charging behaviors of large numbers of EVs will bring new challenges to the safe and economic operation of power systems. This paper studies an optimal charging strategy for EVs. For that a typical urban zone is divided into four regions, a regional time-of-use (RTOU electricity price model is proposed to guide EVs when and where to charge considering spatial and temporal characteristics. In light of the elastic coefficient, the user response to the RTOU electricity price is analyzed, and also a bilayer optimization charging strategy including regional-layer and node-layer models is suggested to schedule the EVs. On the one hand, the regional layer model is designed to coordinate the EVs located in different time and space. On the other hand, the node layer model is built to schedule the EVs to charge in certain nodes. According to the simulations of an IEEE 33-bus distribution network, the performance of the proposed optimal charging strategy is verified. The results demonstrate that the proposed bilayer optimization strategy can effectively decrease the charging cost of users, mitigate the peak-valley load difference and the network loss. Besides, the RTOU electricity price shows better performance than the time-of-use (TOU electricity price.

  4. Regionally-varying and regionally-uniform electricity pricing policies compared across four usage categories

    International Nuclear Information System (INIS)

    Cho, Seong-Hoon; Kim, Taeyoung; Kim, Hyun Jae; Park, Kihyun; Roberts, Roland K.

    2015-01-01

    The objective of our research is to predict how electricity demand varies spatially between status quo regionally-uniform electricity pricing and hypothetical regionally-varying electricity pricing across usage categories. We summarize the empirical results of a case study of electricity demand in South Korea with three key findings and their related implications. First, the price elasticities of electricity demand differ across usage categories. Specifically, electricity demands for manufacturing and retail uses are price inelastic and close to unit elastic, respectively, while those for agricultural and residential uses are not statistically significant. This information is important in designing energy policy, because higher electricity prices could reduce electricity demands for manufacturing and retail uses, resulting in slower growth in those sectors. Second, spatial spillovers in electricity demand vary across uses. Understanding the spatial structure of electricity demand provides useful information to energy policy makers for anticipating changes in demand across regions via regionally-varying electricity pricing for different uses. Third, simulation results suggest that spatial variations among electricity demands by usage category under a regionally-varying electricity-pricing policy differ from those under a regionally-uniform electricity-pricing policy. Differences in spatial changes between the policies provide information for developing a realistic regionally-varying electricity-pricing policy according to usage category. - Highlights: • We compare regionally-varying and regionally-uniform electricity pricing policies. • We summarize empirical results of a case study of electricity demand in South Korea. • We confirm that spatial spillovers in electricity demands vary across different uses. • We find positive spatial spillovers in the manufacturing and residential sectors. • Our methods help policy makers evaluate regionally-varying pricing

  5. Deregulation and pricing in a hydro electric system

    International Nuclear Information System (INIS)

    Stoea, P.; Livik, K.; Wangensteen, I.

    1992-01-01

    In line with the current development in some European countries, notably the UK and the Netherlands, deregulation and market competition has been introduced in Norwegian electricity supply in order to improve the economic efficiency of the system. The legal basis for the introduction is the new Norwegian Energy Act that was approved in the Storting (parliament) in June 1990 and came legally into effect on January 1, 1991. This paper deals with the organizational structure, the price formation in the wholesale market, and the tariffs and metering equipment that are being developed to meet the needs of the customers and the utilities in this new situation. (author)

  6. Real-time electricity pricing mechanism in China based on system dynamics

    International Nuclear Information System (INIS)

    He, Yongxiu; Zhang, Jixiang

    2015-01-01

    Highlights: • The system dynamics is used to research the real-time electricity pricing mechanism. • Four kinds of the real-time electricity pricing models are carried out and simulated. • It analysed the electricity price, the user satisfaction and the social benefits under the different models. • Market pricing is the trend of the real-time electricity pricing mechanism. • Initial development path of the real-time price mechanism for China is designed between 2015 and 2030. - Abstract: As an important means of demand-side response, the reasonable formulation of the electricity price mechanism will have an important impact on the balance between the supply and demand of electric power. With the introduction of Chinese intelligence apparatus and the rapid development of smart grids, real-time electricity pricing, as the frontier electricity pricing mechanism in the smart grid, will have great significance on the promotion of energy conservation and the improvement of the total social surplus. From the perspective of system dynamics, this paper studies different real-time electricity pricing mechanisms based on load structure, cost structure and bidding and analyses the situation of user satisfaction and the total social surplus under different pricing mechanisms. Finally, through the comparative analysis of examples under different real-time pricing scenarios, this paper aims to explore and design the future dynamic real-time electricity pricing mechanism in China, predicts the dynamic real-time pricing level and provides a reference for real-time electricity price promotion in the future

  7. PRICING ELECTRIC POWER UNDER A HYBRID WHOLESALE MECHANISM: EVALUATING THE TURKISH ELECTRICITY MARKET

    Directory of Open Access Journals (Sweden)

    Hatice Karahan

    2013-01-01

    Full Text Available During the restructuring process, Turkish electricity sector has gone through significant changes both in wholesale and retail markets. In this framework, the Market Financial Settlement Mechanism established for handling market imbalances has become a spot market in time. So, it can be claimed that the wholesale electricity market in Turkey is a hybrid mechanism composed of bilateral contracts and the balancing market. On the other hand, the main target of liberalization program is providing consumers with affordable electric power. Hence, this study attempts to explore the link between retail tariffs for ineligible consumers and prices in the two wholesale mechanisms, in the period after the launch of the day-ahead market. Findings suggest that regulated wholesale prices are more effective in the determination of end-user prices, whereas unregulated ones might have a price reduction effect in case the free market dominates. However, the volatility in spot market prices implies that the sector would better continue with the hybrid mechanism for quite some time.

  8. Analysing the relationship between wholesale and end-user prices in the Nordic electricity market

    International Nuclear Information System (INIS)

    Lewis, P.E.; Johnsen, T.A.; Naervae, T.; Wasti, S.

    2004-09-01

    Efficient pricing in a deregulated market means prices which closely reflect the cost of obtaining electricity in the wholesale market. This research report analyses and explains the relationship between wholesale prices (especially Spot Prices) and end-user prices for residential, industrial and commercial users in the Finnish, Swedish and Norwegian electricity markets. The report primarily analyses the closeness of wholesale and end-user price patterns (the primary tracking period is 1998-2003, focusing especially closely on Finland and the period 2002-2003). The report reveals that Finnish, Norwegian and Swedish end- user prices can all be said to follow spot prices (and other wholesale prices) to a greater or lesser extent. The relationship is however complex and, especially regarding spot prices, clearly closest in Norway, followed by Sweden and then Finland. Whilst, overall, Finnish prices seem quite competitive and Nordic end-user prices currently seem to be extremely similar, there is some cause for concern in Finland. In particular, very few customers have spot based tariffs; wholesale prices (including spot prices) appear to sometimes have been used as an excuse for end-user price rises; Finnish suppliers have often been slow to respond to post-spike spot price reductions; offer prices are currently often higher than standard variable prices; and suppliers seem quite free to follow any pricing strategy, regardless of the presence of competition. Six factors are identified which influence end-user prices and their relationship with wholesale (and particularly spot) prices: hydro-dependency; concentration and entry barriers; cultural and historical determination; legislation; pricing strategies; the competitive environment. The report additionally specifically illustrates a wide variety of possible supplier strategies which might explain Finnish end-user pricing. Spot prices seem to provide only a minor explanation for Finnish end-user prices. (orig.)

  9. The impact of renewable energies on EEX day-ahead electricity prices

    International Nuclear Information System (INIS)

    Paraschiv, Florentina; Erni, David; Pietsch, Ralf

    2014-01-01

    In this paper, we analyze the impact of renewable energies, wind and photovoltaic, on the formation of day-ahead electricity prices at EEX. We give an overview of the policy decisions concerning the promotion of renewable energy sources in Germany and discuss their consequences on day-ahead prices. An analysis of electricity spot prices reveals that the introduction of renewable energies enhances extreme price changes. In the frame of a dynamic fundamental model, we show that there has been a continuous electricity price adaption process to market fundamentals. Furthermore, the fundamental drivers of prices differ among hours with different load profiles. Our results imply that renewable energies decrease market spot prices and have implications on the traditional fuel mix for electricity production. However, the prices for the final consumers increased overall because they must pay in addition the feed-in tariffs for the promotion of renewable energy. - Highlights: • We analyze the impact of renewable energies on the day-ahead electricity prices at EEX. • We discuss the impact of renewables on day-ahead prices. • We show a continuous electricity price adaption process to market fundamentals. • Renewable energies decrease market spot prices and shift the merit order curve. • The prices for the final consumers however increased because of feed-in tariffs

  10. Characteristics of the prices of operating reserves and regulation services in competitive electricity markets

    International Nuclear Information System (INIS)

    Wang Peng; Zareipour, Hamidreza; Rosehart, William D.

    2011-01-01

    In this paper, characteristics of the prices of reserves and regulation services in the Ontario, New York and ERCOT electricity markets are studied. More specifically, price variability, price jumps, long-range correlation, and non-linearity of the prices are analyzed using the available measures in the literature. For the Ontario electricity market, the prices of 10-min spinning, 10-min non-spinning, and 30-min operating reserves for the period May 1, 2002 to December 31, 2007 are analyzed. For the New York market, prices of the same reserves plus regulation service are studied for the period February 5, 2005 to December 31, 2008. For the ERCOT market, we analyze the prices of responsive reserve, regulation up and regulation down services, for the period January 1, 2005 to December 31, 2009. The studied characteristics of operating reserve and regulation prices are also compared with those of energy prices. The findings of this paper show that the studied reserve and regulation prices feature extreme volatility, more frequent jumps and spikes, different peak price occurrence time, and lower predictability, compared to the energy prices. - Research highlights: → We examine various statistical characteristics of reserve and regulation prices. → We compare characteristics of reserve and regulation and energy prices. → Reserve and regulation prices feature different patterns from energy prices. → Reserve and regulation prices are more dispersive and volatile than energy price.

  11. Are electricity prices affected by the US dollar to Euro exchange rate? The Spanish case

    International Nuclear Information System (INIS)

    Munoz, M. Pilar; Dickey, David A.

    2009-01-01

    The objective of this paper is to investigate the relationships between Spanish electricity spot prices and the US dollar/Euro (USD/Euro) exchange rate during the period 2005-2007, taking into account the study of the association between dollar and oil prices, in order to better understand the evolution of the former over time. The first finding in this study is that Spanish electricity spots prices, the USD/Euro exchange rate and oil prices are cointegrated; therefore there is a long-run equilibrium relationship between the three variables. Short-run relationships have been detected between oil prices and Spanish electricity prices and USD/Euro exchange rate in the sense that Spanish electricity prices and USD/Euro exchange rate are affected by oil prices in the short run. There is a transmission of volatility between USD/Euro exchange rate and oil prices to Spanish electricity prices; so although Spanish electricity prices are not affected in level by the movements of USD/Euro exchange rate, they are in volatility. In this kind of scenario the conclusions confirm that for countries so dependent on external causes as Spain, one possible solution for guarantying the energy security would be the promotion of the renewable energies. Therefore we cannot ignore the impact in the internal expenses of the cost of installation and generation of green energies so there must be a balance between the increase in renewables and the reasonable market price of the electricity. (author)

  12. Automatic demand response referred to electricity spot price. Demo description

    International Nuclear Information System (INIS)

    Grande, Ove S.; Livik, Klaus; Hals, Arne

    2006-05-01

    This report presents background, technical solution and results from a test project (Demo I) developed in the DRR Norway) project. Software and technology from two different vendors, APAS and Powel ASA, are used to demonstrate a scheme for Automatic Demand Response (ADR) referred to spot price level and a system for documentation of demand response and cost savings. Periods with shortage of energy supply and hardly any investments in new production capacity have turned focus towards the need for increased price elasticity on the demand side in the Nordic power market. The new technology for Automatic Meter Reading (AMR) and Remote Load Control (RLC) provides an opportunity to improve the direct market participation from the demand side by introducing automatic schemes that reduce the need for customer attention to hourly market prices. The low prioritized appliances, and not the total load, are in this report defined as the Demand Response Objects, based on the assumption that there is a limit for what the customers are willing to pay for different uses of electricity. Only disconnection of residential water heaters is included in the demo, due to practical limitations. The test was performed for a group of single family houses over a period of 2 months. All the houses were equipped with a radio controlled 'Ebox' unit attached to the water heater socket. The settlement and invoicing were based on hourly metered values (kWh/h), which means that the customer benefit is equivalent to the accumulated changes in the electricity cost per hour. The actual load reduction is documented by comparison between the real meter values for the period and a reference curve. The curves show significant response to the activated control in the morning hours. In the afternoon it is more difficult to register the response, probably due to 'disturbing' activities like cooking etc. Demo I shows that load reduction referred to spot price level can be done in a smooth way. The experiences

  13. Time varying behaviour of the loudspeaker suspension

    DEFF Research Database (Denmark)

    Agerkvist, Finn; Pedersen, Bo Rohde

    2009-01-01

    The compliance of the loudspeaker suspension is known to depend on the recent excitation level history. Previous investigations have shown that the electrical power as well as displacement and velocity plays a role. In this paper the hypothesis that the changes in compliance are caused mainly...... by how much the suspension has been stretched, i.e., the maximum displacement, is investigated. For this purpose the changes in compliance are measured when exposing the loudspeaker to different levels and types of electrical excitation signals, as well as mechanical excitation only. For sinusoidal...... excitation the change in compliance is shown to depend primarily on maximum displacement. But for square pulse excitation the duration of the excitation also plays an important role....

  14. Price formation in electricity forward markets and the relevance of systematic forecast errors

    International Nuclear Information System (INIS)

    Redl, Christian; Haas, Reinhard; Huber, Claus; Boehm, Bernhard

    2009-01-01

    Since the liberalisation of the European electricity sector, forward and futures contracts have gained significant interest of market participants due to risk management reasons. For pricing of these contracts an important fact concerns the non-storability of electricity. In this case, according to economic theory, forward prices are related to the expected spot prices which are built on fundamental market expectations. In the following article the crucial impact parameters of forward electricity prices and the relationship between forward and future spot prices will be assessed by an empirical analysis of electricity prices at the European Energy Exchange and the Nord Pool Power Exchange. In fact, price formation in the considered markets is influenced by historic spot market prices yielding a biased forecasting power of long-term contracts. Although market and risk assessment measures of market participants and supply and demand shocks can partly explain the futures-spot bias inefficiencies in the analysed forward markets cannot be ruled out. (author)

  15. Application of auctions as a pricing mechanism for the interchange of electric power

    International Nuclear Information System (INIS)

    Post, D.L.; Coppinger, S.S.; Sheble, G.B.

    1995-01-01

    The expected move to a market-based electric power industry will significantly change electric utility operations. These changes will fundamentally alter the pricing of electric power. How this pricing will be accomplished is a key issue. Traditionally, embedded cost based methods have been used. Recently, spot-pricing has received attention as a possible approach in a market-based electric power environment. Another market-based approach is the use of auctions. This paper will present the application of a sequential sealed-bid and sealed-offer auction to the pricing of electric power by using linear programming

  16. Endogenous time-varying risk aversion and asset returns.

    Science.gov (United States)

    Berardi, Michele

    2016-01-01

    Stylized facts about statistical properties for short horizon returns in financial markets have been identified in the literature, but a satisfactory understanding for their manifestation is yet to be achieved. In this work, we show that a simple asset pricing model with representative agent is able to generate time series of returns that replicate such stylized facts if the risk aversion coefficient is allowed to change endogenously over time in response to unexpected excess returns under evolutionary forces. The same model, under constant risk aversion, would instead generate returns that are essentially Gaussian. We conclude that an endogenous time-varying risk aversion represents a very parsimonious way to make the model match real data on key statistical properties, and therefore deserves careful consideration from economists and practitioners alike.

  17. A Nodal Pricing Analysis of the Future German Electricity Market

    International Nuclear Information System (INIS)

    Ozdemir, O.; Hers, J.S.; Bartholomew Fisher, E.; Brunekreeft, G.; Hobbs, B.F.

    2009-05-01

    The electricity market in Germany is likely to undergo several significant structural changes over the years to come. Here one may think of Germany's ambitious renewable agenda, the disputed decommissioning of nuclear facilities, but also unbundling of TSO's as enforced by European regulation. This study is a scenario-based analysis of the impact of different realizations of known investment plans for transmission and generation capacity on the future German power market while accounting for internal congestion. For this analysis the static equilibrium model of the European electricity market COMPETES is deployed, including a 10-node representation of the German highvoltage grid. Results for the multi-node analysis indicate that price divergence and congestion are likely to arise in the German market as renewable additions affecting mainly the North of Germany, the debated decommissioning of nuclear facilities in the South, and the expected decommissioning of coal-fired facilities in Western Germany appear to render current investment plans for transmission capacity insufficient. The current system of singlezone pricing for the German market may therewith be compromised. However, transmission additions would not benefit all market parties, with producers in exporting regions and consumers in importing regions being the main beneficiaries. Vertical unbundling of German power companies could increase the incentive for constructing transmission lines if generation capacity would cause Germany to be a net-importing country. In case Germany remains a net-exporting country, the effects of vertical unbundling on cross-border capacity are less clear cut.

  18. Excessive price reduction and extreme volatility in wind dominant electricity markets; solutions and emerging challenges

    DEFF Research Database (Denmark)

    Farashbashi-Astaneh, Seyed-Mostafa; Chen, Zhe; Mousavi, Omid Alizadeh

    2013-01-01

    High intermittency in the nature of wind power emphasize conceptual revising in the mechanisms of electricity markets with high wind power penetration levels. This paper introduces overmuch price reduction and high price volatility as two adverse consequences in future wind dominant electricity...... is developed. The paper indicates discriminatory pricing approach can be beneficial in high penetration of wind power because it alleviates high price variations and spikiness in one hand and prevents overmuch price reduction in wind dominant electricity markets on the other hand....... markets. While high price volatility imposes elevated risk levels for both electricity suppliers and consumers, excessive price reduction of electricity is a disincentive for investment in new generation capacity and might jeopardizes system adequacy in long term. A comparative study between marginal...

  19. Unbiasedness and time varying risk premia in the crude oil futures market

    International Nuclear Information System (INIS)

    Moosa, I.A.; Al-Loughani, N.E.

    1994-01-01

    This paper presents some empirical evidence on market efficiency and unbiasedness in the crude oil futures market and some related issues. On the basis of monthly observations on spot and futures prices of the West Texas Intermediate (WTI) crude oil, several tests are carried out on the relevant hypotheses. The evidence suggests that futures prices are neither unbiased nor efficient forecasters of spot prices. Furthermore, a GARCH-M(1,1) model reveals the existence of a time varying risk premium. (author)

  20. Legal fixing of the electricity market price; Die juristische Bestimmung des Marktpreises fuer Strom

    Energy Technology Data Exchange (ETDEWEB)

    Lindner, Thomas

    2011-07-01

    The book attempts to analyze the problems of fixing electricity rates by law and to develop an approach for determining the market price for electricity. The focus is on industrial customers as this is the sector in which the market price is of practical relevance. Private customers are gone into if necessary, as is the stock market price. The main problem in determining the free market price is the very fact that it is free, i.e. in contrast to the stock market price it is not fixed and published officially. The book therefore analyzes the abstract preconditions for determining the free market price. (orig./RHM)

  1. The role of price elastic demand in market power in the Nordic electricity markets

    International Nuclear Information System (INIS)

    Ravn, H.F.

    2004-01-01

    The paper discusses the modelling and analysis of market power and price elastic demand in the Nordic electricity spot market, Nordpool. The modelling of market power in the electricity sector must take into account a number of features that are specific to the electricity sector. First, electricity cannot be stored, but must be produced simultaneously with consumption. This aspect is, however, modified by the possibility of using hydro reservoirs as an indirect electricity storage. Second, the electricity transmission network plays an important role by breaking the market into several geographically separate sub-markets with different prices. Moreover, the specific bottlenecks may differ from hour to hour, according to the balance between supply and demand in each sub-market. Third, the demand side is presently characterised by very limited experience with hour to-hour-changes in electricity prices and very limited experience with short time adjustments of electricity consumption in response to changes in the electricity price. In the present paper three basic models for supply side competition on the Nordpool spot market will be presented, viz., perfect competition, Cournot competition and Supply Function Equilibrium. The models represent price and quantity settlement, including determination of price areas (bottle necks), in accordance with the way the Nordpool market functions. The models will incorporate electricity demand which is responsive to the electricity price. The paper describes the role of demand response for the determination of the electricity prices in each of the three supply side competition models. (au)

  2. Stochastic factor model for electricity spot price-the case of the Nordic market

    International Nuclear Information System (INIS)

    Vehvilaeinen, Iivo; Pyykkoenen, Tuomas

    2005-01-01

    This paper presents a stochastic factor based approach to mid-term modeling of spot prices in deregulated electricity markets. The fundamentals affecting the spot price are modeled independently and a market equilibrium model combines them to form spot price. Main advantage of the model is the transparency of the generated prices because each underlying factor and the dynamics between factors can be modeled and studied in detail. Paper shows realistic numerical examples on the forerunner Scandinavian electricity market. The model is used to price an exotic electricity derivative

  3. Stochastic factor model for electricity spot price - the case of the Nordic market

    International Nuclear Information System (INIS)

    Vehvilainen, I.; Pyykkoenen, T.

    2005-01-01

    This paper presents a stochastic factor based approach to mid-term modeling of spot prices in deregulated electricity markets. The fundamentals affecting the spot price are modeled independently and a market equilibrium model combines them to form spot price. Main advantage of the model is the transparency of the generated prices because each underlying factor and the dynamics between factors can be modeled and studied in detail. Paper shows realistic numerical examples on the forerunner Scandinavian electricity market. The model is used to price an exotic electricity derivative. (author)

  4. Electricity-price arbitrage with plug-in hybrid electric vehicle: Gain or loss?

    International Nuclear Information System (INIS)

    Shang, Duo; Sun, Guodong

    2016-01-01

    Customers, utilities, and society can gain many benefits from distributed energy resources (DERs), including plug-in hybrid electric vehicles (PHEVs). Using battery on PHEV to arbitrage electricity price is one of the potential benefits to PHEV owners. There is, however, disagreement on the magnitude of such profit. This study uses a stochastic optimization model to estimate the potential profit from electricity price arbitrage of two types of PHEVs (PHEV-10, and PHEV-40) under three scenarios with variant electricity tariff and PHEV owners over a five-year period. The simulation results indicate that under current market structure, even with significant improvement in battery technologies (e.g., higher efficiency, lower cost), the PHEV owners can't achieve a positive arbitrage profit. This finding implies that expected arbitrage profit solely is not a viable option to engage PHEVs larger adoption. Subsidy and combining PHEV arbitraging with alternative PHEV services are required. - Highlights: •A stochastic optimization model is proposed to assess the arbitrage value of plug-in hybrid electric vehicle (PHEV). •Under current market condition, PHEV owners lose money from conducting PHEV arbitrage if counting battery degradation cost. •PHEV owner loses more money at real time pricing (RTP) than at time of use (TOU) scheme. •Battery improvement will reduce but can't even the arbitrage loss. •Expected arbitrage profit is not a viable option to engage PHEVs in dispatching and in providing ancillary services.

  5. Simulation of hybrid renewable microgeneration systems for variable electricity prices

    International Nuclear Information System (INIS)

    Brandoni, C.; Renzi, M.; Caresana, F.; Polonara, F.

    2014-01-01

    This paper addresses a hybrid renewable system that consists of a micro-Combined Cooling Heat and Power (CCHP) unit and a solar energy conversion device. In addition to a traditional PV system, a High Concentrator Photovoltaic (HCPV) device, the design of which is suitable for building integration application, was also modelled and embedded in the hybrid system. The work identifies the optimal management strategies for the hybrid renewable system in an effort to minimise the primary energy usage, the carbon dioxide emissions and the operational costs for variable electricity prices that result from the day-ahead electricity market. An “ad hoc” model describes the performance of the HCPV module, PV and Internal Combustion Engine, whilst the other units were simulated based on their main characteristic parameters. The developed algorithm was applied to three different building typologies. The results indicate that the best configuration is the hybrid renewable system with PV, which can provide a yearly primary energy reduction of between 20% and 30% compared to separate production. The hybrid renewable system with HCPV becomes competitive with the PV technology when the level of solar radiation is high. - Highlights: • The paper addresses a hybrid renewable system that consists of a micro-CCHP unit and a solar energy conversion device. • Both PV and High Concentrator Photovoltaic (HCPV) systems have been modelled and embedded in the hybrid system. • The work identifies the optimal management strategies for variable electricity prices. • Hybrid renewable systems provide a yearly primary energy reduction of between 20% and 30% compared to separate production. • When the level of solar radiation is high, HCPV becomes competitive with the PV technology

  6. Estimating the price elasticity for demand for electricity by sector in South Africa

    Directory of Open Access Journals (Sweden)

    Roula Inglesi-Lotz

    2011-12-01

    Full Text Available This paper analyses electricity consumption patterns in South Africa in an attempt to understand and identify the roots of the current electricity crisis. This is done by investigating various economic sectors’ responses to price changes using panel data for the period 1993–2004. Positive and statistically significant price elasticities over this period were found for the transport (rail and commercial sectors while there are positive, but small and statistically insignificant responses to price changes in the agriculture and mining sectors. Only the industrial sector responded to changes in electricity prices according to theory, namely illustrating negative demand elasticities. This sector, however, dominates electricity consumption resulting in aggregate demand elasticities that are negative. These results explain, in part, the current electricity crisis. Given the historic low level of electricity prices in conjunction with, on the whole, a real price decline, i.e. price increases lower than the inflation rate; there was no major incentive to reduce electricity consumption and/or to be efficient. This result supports the notion that prices do have an important signalling effect in the economy. Hence, the electricity prices should be considered not only from an economic growth or social vantage point, but also from a supply and technocratic perspective, which includes environmental factors such as CO2-emissions. Prices should not be determined without considering the system-wide implications thereof.

  7. A Quantitative Analysis of the Impact of Wind Energy Penetration on Electricity Prices in Ireland

    OpenAIRE

    O'Flaherty, Micheál; Riordan, Niall; O'Neill, Noel; Ahern, Ciara

    2014-01-01

    The maturity of wind technology combined with availability of suitable sites means Ireland is on course to generate 40% of its electricity from the wind by 2020.This work sets out to quantify, to what degree, if any, increased wind penetration translates into reduced wholesale and retail prices for electricity. The consensus from the literature is that increasing wind penetration reduces wholesale electricity prices, but views vary as to what degree this translates into reduced retail prices ...

  8. Modeling and forecasting electricity price jumps in the Nord Pool power market

    DEFF Research Database (Denmark)

    Knapik, Oskar

    extreme prices and forecasting of the price jumps is crucial for risk management and market design. In this paper, we consider the problem of the impact of fundamental price drivers on forecasting of price jumps in NordPool intraday market. We develop categorical time series models which take into account......For risk management traders in the electricity market are mainly interested in the risk of negative (drops) or of positive (spikes) price jumps, i.e. the sellers face the risk of negative price jumps while the buyers face the risk of positive price jumps. Understanding the mechanism that drive...

  9. An Electricity Price Forecasting Model by Hybrid Structured Deep Neural Networks

    Directory of Open Access Journals (Sweden)

    Ping-Huan Kuo

    2018-04-01

    Full Text Available Electricity price is a key influencer in the electricity market. Electricity market trades by each participant are based on electricity price. The electricity price adjusted with the change in supply and demand relationship can reflect the real value of electricity in the transaction process. However, for the power generating party, bidding strategy determines the level of profit, and the accurate prediction of electricity price could make it possible to determine a more accurate bidding price. This cannot only reduce transaction risk, but also seize opportunities in the electricity market. In order to effectively estimate electricity price, this paper proposes an electricity price forecasting system based on the combination of 2 deep neural networks, the Convolutional Neural Network (CNN and the Long Short Term Memory (LSTM. In order to compare the overall performance of each algorithm, the Mean Absolute Error (MAE and Root-Mean-Square error (RMSE evaluating measures were applied in the experiments of this paper. Experiment results show that compared with other traditional machine learning methods, the prediction performance of the estimating model proposed in this paper is proven to be the best. By combining the CNN and LSTM models, the feasibility and practicality of electricity price prediction is also confirmed in this paper.

  10. Adaptive short-term electricity price forecasting using artificial neural networks in the restructured power markets

    International Nuclear Information System (INIS)

    Yamin, H.Y.; Shahidehpour, S.M.; Li, Z.

    2004-01-01

    This paper proposes a comprehensive model for the adaptive short-term electricity price forecasting using Artificial Neural Networks (ANN) in the restructured power markets. The model consists: price simulation, price forecasting, and performance analysis. The factors impacting the electricity price forecasting, including time factors, load factors, reserve factors, and historical price factor are discussed. We adopted ANN and proposed a new definition for the MAPE using the median to study the relationship between these factors and market price as well as the performance of the electricity price forecasting. The reserve factors are included to enhance the performance of the forecasting process. The proposed model handles the price spikes more efficiently due to considering the median instead of the average. The IEEE 118-bus system and California practical system are used to demonstrate the superiority of the proposed model. (author)

  11. A combined modeling approach for wind power feed-in and electricity spot prices

    International Nuclear Information System (INIS)

    Keles, Dogan; Genoese, Massimo; Möst, Dominik; Ortlieb, Sebastian; Fichtner, Wolf

    2013-01-01

    Wind power generation and its impacts on electricity prices has strongly increased in the EU. Therefore, appropriate mark-to-market evaluation of new investments in wind power and energy storage plants should consider the fluctuant generation of wind power and uncertain electricity prices, which are affected by wind power feed-in (WPF). To gain the input data for WPF and electricity prices, simulation models, such as econometric models, can serve as a data basis. This paper describes a combined modeling approach for the simulation of WPF series and electricity prices considering the impacts of WPF on prices based on an autoregressive approach. Thereby WPF series are firstly simulated for each hour of the year and integrated in the electricity price model to generate an hourly resolved price series for a year. The model results demonstrate that the WPF model delivers satisfying WPF series and that the extended electricity price model considering WPF leads to a significant improvement of the electricity price simulation compared to a model version without WPF effects. As the simulated series of WPF and electricity prices also contain the correlation between both series, market evaluation of wind power technologies can be accurately done based on these series. - Highlights: • Wind power feed-in can be directly simulated with stochastic processes. • Non-linear relationship between wind power feed-in and electricity prices. • Price reduction effect of wind power feed-in depends on the actual load. • Considering wind power feed-in effects improves the electricity price simulation. • Combined modeling of both parameters delivers a data basis for evaluation tools

  12. Electricity price and Southern California's water supply options

    Energy Technology Data Exchange (ETDEWEB)

    Dale, Larry [Lawrence Berkeley National Laboratory, Camilla Dunham Whitehead, Andre Fargeix, Golden Gate Economics, 1 Cycltron Road, Berkeley, CA 94720 (United States)

    2004-11-01

    This paper evaluates the impact of fluctuating electricity prices on the cost of five options to increase the water supply to urban areas in Southern California-new surface storage, water purchases, desalination, wastewater recycling, and conservation.We show that the price of electricity required to produce and transport water influences the cost of water supply options and may alter the decision makers economic ranking of these options. When electricity prices are low, water purchase is the cost effective option. When prices exceed US$ 86/MWh, conservation of electricity and water through installation of high efficiency clothes washers is the most effective option.

  13. EVT in electricity price modeling : extreme value theory not only on the extreme events

    International Nuclear Information System (INIS)

    Marossy, Z.

    2007-01-01

    The extreme value theory (EVT) is commonly used in electricity and financial risk modeling. In this study, EVT was used to model the distribution of electricity prices. The model was built on the price formation in electricity auction markets. This paper reviewed the 3 main modeling approaches used to describe the distribution of electricity prices. The first approach is based on a stochastic model of the electricity price time series and uses this stochastic model to generate the given distribution. The second approach involves electricity supply and demand factors that determine the price distribution. The third approach involves agent-based models which use simulation techniques to write down the price distribution. A fourth modeling approach was then proposed to describe the distribution of electricity prices. The new approach determines the distribution of electricity prices directly without knowing anything about the data generating process or market driving forces. Empirical data confirmed that the distribution of electricity prices have a generalized extreme value (GEV) distribution. 8 refs., 2 tabs., 5 figs

  14. Understanding the determinants of electricity prices and the impact of the German Nuclear Moratorium in 2011

    International Nuclear Information System (INIS)

    Thoenes, Stefan

    2011-01-01

    This paper shows how the effect of fuel prices varies with the level of electricity demand. It analyzes the relationship between daily prices of electricity, natural gas and carbon emission allowances with a vector error correction model and a semiparametric varying smooth coefficient model. The results indicate that the electricity price adapts to fuel price changes in a long-term cointegration relationship. Different electricity generation technologies have distinct fuel price dependencies, which allows estimating the structure of the power plant portfolio by exploiting market prices. The semiparametric model indicates a technology switch from coal to gas at roughly 85% of maximum demand. It is used to analyze the market impact of the nuclear moratorium by the German Government in March 2011. Futures prices show that the market efficiently accounts for the suspended capacity and expects that several nuclear plants will not be switched on after the moratorium.

  15. Real-time pricing when some consumers resist in saving electricity

    International Nuclear Information System (INIS)

    Salies, Evens

    2013-01-01

    Successful real-time electricity pricing depends firstly upon consumers' willingness to subscribe to such terms and, secondly, on their ability to curb consumption levels. The present paper addresses both issues by considering consumers differentiated by their electricity saving costs, half of whom resist saving electricity. We demonstrate that when consumers are free to adopt real-time prices, producers prefer charging inefficient prices and, in so doing, discriminate against that portion of the consumer population which faces no saving costs. We also find that efficient marginal cost pricing is feasible, but is incompatible with mass adoption of real-time prices. - Highlights: • We model consumers switching from uniform to real-time electricity pricing (RTP). • Half the consumer population is pro-RTP and half resists saving electricity. • Efficient RTP is feasible but is incompatible with mass adoption

  16. Residential implementation of critical-peak pricing of electricity

    International Nuclear Information System (INIS)

    Herter, Karen

    2007-01-01

    This paper investigates how critical-peak pricing (CPP) affects households with different usage and income levels, with the goal of informing policy makers who are considering the implementation of CPP tariffs in the residential sector. Using a subset of data from the California Statewide Pricing Pilot of 2003-04, average load change during summer events, annual percent bill change, and post-experiment satisfaction ratings are calculated across six customer segments, categorized by historical usage and income levels. Findings show that high-use customers respond significantly more in kW reduction than do low-use customers, while low-use customers save significantly more in percentage reduction of annual electricity bills than do high-use customers-results that challenge the strategy of targeting only high-use customers for CPP tariffs. Across income levels, average load and bill changes were statistically indistinguishable, as were satisfaction rates-results that are compatible with a strategy of full-scale implementation of CPP rates in the residential sector. Finally, the high-use customers earning less than $50,000 annually were the most likely of the groups to see bill increases-about 5% saw bill increases of 10% or more-suggesting that any residential CPP implementation might consider targeting this customer group for increased energy efficiency efforts

  17. How electricity providers communicate price increases – A qualitative analysis of notification letters

    International Nuclear Information System (INIS)

    Pick, Doreén; Zielke, Stephan

    2015-01-01

    In several markets firms are required to explicitly announce price increases by sending customers notification letters. The purpose of this article is to analyze how electricity providers deal with such obligatory price increase communication and to provide a comprehensive overview of communicative arguments used by firms. Data is gathered through a content analysis of 97 price increase mailings. Findings show that electricity providers apply several price communication strategies while other promising strategies for customer retention are mostly ignored (i.e., those related to competitors, offerings and relationship benefits). Further, price increase communication differs between national and local firms. Local firms are more transparent in their price increase communication and refer even less often to offer and relationship benefits. Electricity firms have many options to improve the potential effects of price increase letters, such as referring to the future relationship. This is the first study which examines the content of price increase communication by firms. It structures price communication practices used by electricity providers, analyzes their empirical relevance, summarizes findings in five global propositions, and provides a detailed agenda for future research. Moreover, the study indicates several means for public policy organizations to offer regulations on the content of price increase notifications. - Highlights: • We examine 97 price increase letters from electricity providers in Germany. • We investigate the means how firms deal with price increase communications. • Electricity providers aim to hide price increases towards their customers. • Electricity providers only scarcely use benefit and relationship communication. • Price increase communication differs between types of providers as national firms are more professional.

  18. Electricity market price spike analysis by a hybrid data model and feature selection technique

    International Nuclear Information System (INIS)

    Amjady, Nima; Keynia, Farshid

    2010-01-01

    In a competitive electricity market, energy price forecasting is an important activity for both suppliers and consumers. For this reason, many techniques have been proposed to predict electricity market prices in the recent years. However, electricity price is a complex volatile signal owning many spikes. Most of electricity price forecast techniques focus on the normal price prediction, while price spike forecast is a different and more complex prediction process. Price spike forecasting has two main aspects: prediction of price spike occurrence and value. In this paper, a novel technique for price spike occurrence prediction is presented composed of a new hybrid data model, a novel feature selection technique and an efficient forecast engine. The hybrid data model includes both wavelet and time domain variables as well as calendar indicators, comprising a large candidate input set. The set is refined by the proposed feature selection technique evaluating both relevancy and redundancy of the candidate inputs. The forecast engine is a probabilistic neural network, which are fed by the selected candidate inputs of the feature selection technique and predict price spike occurrence. The efficiency of the whole proposed method for price spike occurrence forecasting is evaluated by means of real data from the Queensland and PJM electricity markets. (author)

  19. An Explicit MOT-TD-VIE Solver for Time Varying Media

    KAUST Repository

    Sayed, Sadeed Bin; Ulku, Huseyin Arda; Bagci, Hakan

    2016-01-01

    An explicit marching on-in-time (MOT) scheme for solving the time domain electric field integral equation enforced on volumes with time varying dielectric permittivity is proposed. Unknowns of the integral equation and the constitutive relation, i

  20. Hourly price elasticity pattern of electricity demand in the German day-ahead market

    OpenAIRE

    Knaut, Andreas; Paulus, Simon

    2016-01-01

    System security in electricity markets relies crucially on the interaction between demand and supply over time. However, research on electricity markets has been mainly focusing on the supply side arguing that demand is rather inelastic. Assuming perfectly inelastic demand might lead to delusive statements regarding the price formation in electricity markets. In this article we quantify the short-run price elasticity of electricity demand in the German day-ahead market and show that demand is...

  1. The challenge for gas: get price-competitive with coal-fired electricity

    International Nuclear Information System (INIS)

    Gill, Len

    1999-01-01

    The challenge for the gas industry is to become price competitive with coal-fired electricity if it wants a larger share of the energy market. Returning to the issue of greater use of gas for electricity generation, the author points out that although electricity prices were rising they were still below the point where gas-fired electricity generation was viable. Copyright (1999) The Australian Gas Journal

  2. Price-structure of electricity and district-heating. A background study for energy conservation programme

    International Nuclear Information System (INIS)

    1994-01-01

    The present report deals with the pricing and price-structure of electricity and district-heating with their effects on energy saving. It constitutes part of the groundwork for the new Government Energy Conservation Programme. The report describes principles for the pricing of electricity and district-heating in Finland, and gives some examples of tariffs in foreign countries, which are interesting from the point of view of energy saving. Different utilities apply quite similar pricing principles but there are big differences in price levels between the utilities. The difference in consumer prices can be almost 100 % in the case of electricity and over 150 % as concerns district-heating. The change in retail prices in the last ten years has not had a big general impact on the consumption of electricity or on energy saving. On the other hand, when the price increases of individual utilities are studied, the impact on energy saving at least in the short term can be seen. It seems that an increase of the fixed charges in relation to energy rates has been as a general trend after 1990. To promote energy saving the changing energy rates should be given special emphasis in determining electricity and district-heating tariffs. The opening of the electricity market means that the electricity suppliers face a new situation also when pricing their products. Customers and their expectations will play an increasingly role. (orig.)

  3. Recent research in electric power pricing and load management

    International Nuclear Information System (INIS)

    Tabors, R.D.

    1990-01-01

    Reliable electricity is a necessity for industrial and economic development. In the developing nations, power systems are growing rapidly. Typically, demand for electricity grows faster than either total energy demand or gross domestic product. Load management systems and innovative tariff structures offer to utilities potentially significant operating and capital cost savings through increased efficiency. Benefits must be weighed against the costs of implementation, communication, control and monitoring. When comparing developed and developing country utilities one may conclude that the developing countries may have far more to gain from direct load management and innovative tariff systems. They may be able to introduce variable (cost dependent/time dependent) reliability as opposed to the constant reliability expected in the USA and Western Europe; and many utilities may be able to design more flexible (and less costly) utility systems around a combination of load management and pricing structures, that encourage a higher level of interaction between customer and utility than is the case in the more developed utilities. (author). 84 refs

  4. ANALYSIS OF GROSS REGIONAL PRODUCT FLUCTUATIONS AND ELECTRIC POWER CONSUMPTION IN 2005- 2014. RESERVES FOR DECREASING ELECTRIC POWER PRICES

    Directory of Open Access Journals (Sweden)

    Suslov N. I.

    2016-09-01

    Full Text Available In this work we considered the trajectories of change in indicators characterizing the status of economics and power industry: gross regional product, electric power consumption, industrial production, energy prices and costs of delivering electric power to consumers in Russian regions for the last 10 years. Low global commodity prices and sanctions led to a sharp decrease of equipment import, which resulted in an acute problem of import substitution. The level of tariffs of natural monopolies is of great importance for industrial development. The goal of this work was to analyze possibilities for reducing electric power prices by changing the institutional and economic conditions of management. We analyzed not only the official information from Rosstat, but also government regulations, figures given in the official government publication «The Rossiyskaya Gazeta» as well as articles and interviews on economic problems of the electric power industry over the recent years published in «The Kommersant» newspaper. High tariffs of network marketing companies for electric energy transmission, state regulation of heating prices, financing the construction of new capacities by charging the payment in power provision contracts, high price of electric power of nuclear power plants lead to an annual increase in electric power prices for end users. In this work we considered possible solutions to limit the growth of electric power prices.

  5. How Does Pricing of Day-ahead Electricity Market Affect Put Option Pricing?

    Directory of Open Access Journals (Sweden)

    H. Raouf Sheybani

    2016-09-01

    Full Text Available In this paper, impacts of day-ahead market pricing on behavior of producers and consumers in option and day-ahead markets and on option pricing are studied. To this end, two comprehensive equilibrium models for joint put option and day-ahead markets under pay-as-bid and uniform pricing in day-ahead market are presented, respectively. Interaction between put option and day-ahead markets, uncertainty in fuel price, day-ahead market pricing, and elasticity of consumers to strike price, premium price, and day-ahead price are taken into account in these models. By applying the presented models to a test system impact of day-ahead market pricing on equilibrium of joint put option and day-ahead markets are studied.

  6. The Impact of Emissions Trading on the Price of Electricity in Nord Pool : Market Power and Price Determination in the Nordic Electricity Market

    OpenAIRE

    Oranen, Anna

    2006-01-01

    The objective of this thesis is to find out how dominant firms in a liberalised electricity market will react when they face an increase in the level of costs due to emissions trading, and how this will effect the price of electricity. The Nordic electricity market is chosen as the setting in which to examine the question, since recent studies on the subject suggest that interaction between electricity markets and emissions trading is very much dependent on conditions specific to each market ...

  7. Household electricity consumers’ incentive to choose dynamic pricing under different taxation schemes

    DEFF Research Database (Denmark)

    Katz, Jonas; Kitzing, Lena; Schröder, Sascha Thorsten

    2018-01-01

    Dynamic pricing of retail electricity, as opposed to the widely applied average pricing, has often been proposed to enhance economic efficiency through demand response. The development of variable production from renewable energies and expectations about the installation of heat pumps and electric...

  8. Gas and electricity prices in France and in the European Union in 2012

    International Nuclear Information System (INIS)

    Martin, Jean-Philippe

    2013-11-01

    Graphs and tables illustrate the levels and the evolution of gas and electricity prices in France and in EU member states. It is notably outlined that gas is less expensive in central and eastern Europe, that gas prices generally increased in Europe between 2011 and 2012 (for industries as well as for households), that electricity remains cheap in France

  9. Optimal Electricity Charge Strategy Based on Price Elasticity of Demand for Users

    Science.gov (United States)

    Li, Xin; Xu, Daidai; Zang, Chuanzhi

    The price elasticity is very important for the prediction of electricity demand. This paper mainly establishes the price elasticity coefficient for electricity in single period and inter-temporal. Then, a charging strategy is established based on these coefficients. To evaluate the strategy proposed, simulations of the two elastic coefficients are carried out based on the history data of a certain region.

  10. Wealth Transfers Among Large Customers from Implementing Real-Time Retail Electricity Pricing

    OpenAIRE

    Borenstein, Severin

    2007-01-01

    Adoption of real-time electricity pricing — retail prices that vary hourly to reflect changing wholesale prices — removes existing cross-subsidies to those customers that consume disproportionately more when wholesale prices are highest. If their losses are substantial, these customers are likely to oppose RTP initiatives unless there is a supplemental program to offset their loss. Using data on a sample of 1142 large industrial and commercial customers in northern California, I show that RTP...

  11. Impacts of High Variable Renewable Energy Futures on Wholesale Electricity Prices, and on Electric-Sector Decision Making

    OpenAIRE

    Seel, J; Mills, AD; Wiser, RH

    2018-01-01

    Increasing penetrations of variable renewable energy (VRE) can affect wholesale electricity price patterns and make them meaningfully different from past, traditional price patterns. Many long-lasting decisions for supply- and demand-side electricity infrastructure and programs are based on historical observations or assume a business-as-usual future with low shares of VRE. Our motivating question is whether certain electric-sector decisions that are made based on assumptions reflecting low V...

  12. Income and price elasticities of electricity demand: Aggregate and sector-wise analyses

    International Nuclear Information System (INIS)

    Jamil, Faisal; Ahmad, Eatzaz

    2011-01-01

    Cointegration and vector error correction modeling approaches are widely used in electricity demand analysis. The study rigorously examines the determinants of electricity demand at aggregate and sectoral levels in Pakistan. In the backdrop of severe electricity shortages, our empirical findings give support to the existence of a stable long-run relationship among the variables and indicate that electricity demand is elastic in the long run to both income and price at aggregate level. At sectoral level, long-run income and price elasticity estimates follow this pattern except in agricultural sector, where electricity demand is found elastic to output but inelastic to electricity price. On the contrary, the coefficients for income and price are rather small and mostly insignificant in the short run. We employed temperature index, price of diesel oil and capital stock at aggregate and sectoral levels as exogenous variables. These variables account for most of the variations in electricity demand in the short run. It shows that mechanization of the economy significantly affect the electricity demand at macro level. Moreover, elastic electricity demand with respect to electricity price in most of the sectors implies that electricity price as a policy tool can be used for efficient use and conservation. - Highlights: → The study conducts analysis for aggregate and four sectors. → Sectoral analyses are for residential, commercial, manufacturing and agricultural sectors. → We obtained higher positive income and negative price elasticity in the long run. → The higher price elasticity implies that price can be used as a policy tool. → Capital stock and temperature variables explain most of the short-run demand fluctuations.

  13. Income and price elasticities of electricity demand: Aggregate and sector-wise analyses

    Energy Technology Data Exchange (ETDEWEB)

    Jamil, Faisal, E-mail: fsljml@hotmail.com [School of Economics, Quaid-e-Azam University, Islamabad (Pakistan); Ahmad, Eatzaz, E-mail: eatzaz@qau.edu.pk [School of Economics, Quaid-e-Azam University, Islamabad (Pakistan)

    2011-09-15

    Cointegration and vector error correction modeling approaches are widely used in electricity demand analysis. The study rigorously examines the determinants of electricity demand at aggregate and sectoral levels in Pakistan. In the backdrop of severe electricity shortages, our empirical findings give support to the existence of a stable long-run relationship among the variables and indicate that electricity demand is elastic in the long run to both income and price at aggregate level. At sectoral level, long-run income and price elasticity estimates follow this pattern except in agricultural sector, where electricity demand is found elastic to output but inelastic to electricity price. On the contrary, the coefficients for income and price are rather small and mostly insignificant in the short run. We employed temperature index, price of diesel oil and capital stock at aggregate and sectoral levels as exogenous variables. These variables account for most of the variations in electricity demand in the short run. It shows that mechanization of the economy significantly affect the electricity demand at macro level. Moreover, elastic electricity demand with respect to electricity price in most of the sectors implies that electricity price as a policy tool can be used for efficient use and conservation. - Highlights: > The study conducts analysis for aggregate and four sectors. > Sectoral analyses are for residential, commercial, manufacturing and agricultural sectors. > We obtained higher positive income and negative price elasticity in the long run. > The higher price elasticity implies that price can be used as a policy tool. > Capital stock and temperature variables explain most of the short-run demand fluctuations.

  14. A vector autoregressive model for electricity prices subject to long memory and regime switching

    International Nuclear Information System (INIS)

    Haldrup, Niels; Nielsen, Frank S.; Nielsen, Morten Oerregaard

    2010-01-01

    A regime dependent VAR model is suggested that allows long memory (fractional integration) in each of the observed regime states as well as the possibility of fractional cointegration. The model is motivated by the dynamics of electricity prices where the transmission of power is subject to occasional congestion periods. For a system of bilateral prices non-congestion means that electricity prices are identical whereas congestion makes prices depart. Hence, the joint price dynamics implies switching between a univariate price process under non-congestion and a bivariate price process under congestion. At the same time, it is an empirical regularity that electricity prices tend to show a high degree of long memory, and thus that prices may be fractionally cointegrated. Analysis of Nord Pool data shows that even though the prices are identical under non-congestion, the prices are not, in general, fractionally cointegrated in the congestion state. Hence, in most cases price convergence is a property following from regime switching rather than a conventional error correction mechanism. Finally, the suggested model is shown to deliver forecasts that are more precise compared to competing models. (author)

  15. Pricing Electric Power in the Czech Republic and in Selected Countries

    Directory of Open Access Journals (Sweden)

    Eva Mazegue Pavelková

    2016-01-01

    Full Text Available This paper focuses on state intervention in the pricing of electricity from renewable power sources in the Czech Republic when compared with the pricing in the Slovak Republic, Germany, France and Italy. In these countries the state intervention is implemented in different forms, but the critical part of the price is regulated everywhere by the state. The price of electricity is determined by its production costs, which depend on the source from which electricity is produced. The highest cost of electricity is required to generate renewable energy, particularly solar power, while the lowest costs of power are associated with its production by coal-fired and natural gas-fired thermal power plants. However, hydroelectric power plants attain clearly the lowest cost for generating electricity. State intervention includes supporting power generation from renewable power sources by guaranteeing purchase prices.

  16. Electricity deregulation, spot price patterns and demand-side management

    International Nuclear Information System (INIS)

    Li, Y.; Flynn, P.C.

    2006-01-01

    This paper examines extensive hourly or half-hourly power price data from 14 deregulated power markets. It analyzes average diurnal patterns, relationship to system load, volatility, and consistency over time. Diurnal patterns indicate the average price spread between off-peak and on-peak and weekend vs. weekday power consumption. Volatility is measured by price velocity: the average normalized hourly change in power price, calculated daily. The calculated price velocity is broken down into an expected component that arises from the diurnal pattern and an unexpected component that arises from unknown factors. The analysis reveals significant differences among markets, suggesting that demand-side management (DSM) of power consumption is far more difficult in some markets than in others. At one extreme, Spain, Britain and Scandinavia show consistent diurnal price patterns, a stable relationship between price and system load, and a low unexplained component of price volatility. A power consumer in these markets could form a reasonable expectation of a reward for DSM of elective power consumption. At the other extreme, two markets in Australia show erratic diurnal price patterns from year to year, low correlation between price and system load, and a high amount of unexpected price velocity. A power consumer in these markets would have far greater difficulty in realizing a benefit from DSM. Markets that experienced one period of very high prices without a clear external cause, such as California and Alberta, appear to have a significant longer-term erosion of public support for deregulation. (author)

  17. Reducing electricity consumption peaks with parametrised dynamic pricing strategies given maximal unit prices

    NARCIS (Netherlands)

    N.F. Höning (Nicolas); J.A. La Poutré (Han); F. Lopes; Z. Vale; J. Sousa; H. Coelho

    2013-01-01

    htmlabstractDemand response is a crucial mechanism for flattening of peak loads. For its implementation, we not only require consumers who react to price changes, but also intelligent strategies to select prices. We propose a parametrised meta-strategy for dynamic pricing and identify suitable

  18. Energy prices in the EU: France is less expensive for electricity

    International Nuclear Information System (INIS)

    2009-12-01

    This article proposes a comparison of electricity and gas prices among the European Union countries in 2008. It outlines that the price of electricity in France is among the cheapest, that taxes are higher in northern European countries as far as electricity is concerned, that the price of gas in France is in the average and that taxing in Europe is less for gas than for electricity. The existence of carbon taxes or climate-energy contributions in some countries is briefly presented (in Sweden since 1991, in Denmark since 1992, in Finland since 1994, in Slovenia since 1997 and in Great-Britain since 2001)

  19. Monopoly models with time-varying demand function

    Science.gov (United States)

    Cavalli, Fausto; Naimzada, Ahmad

    2018-05-01

    We study a family of monopoly models for markets characterized by time-varying demand functions, in which a boundedly rational agent chooses output levels on the basis of a gradient adjustment mechanism. After presenting the model for a generic framework, we analytically study the case of cyclically alternating demand functions. We show that both the perturbation size and the agent's reactivity to profitability variation signals can have counterintuitive roles on the resulting period-2 cycles and on their stability. In particular, increasing the perturbation size can have both a destabilizing and a stabilizing effect on the resulting dynamics. Moreover, in contrast with the case of time-constant demand functions, the agent's reactivity is not just destabilizing, but can improve stability, too. This means that a less cautious behavior can provide better performance, both with respect to stability and to achieved profits. We show that, even if the decision mechanism is very simple and is not able to always provide the optimal production decisions, achieved profits are very close to those optimal. Finally, we show that in agreement with the existing empirical literature, the price series obtained simulating the proposed model exhibit a significant deviation from normality and large volatility, in particular when underlying deterministic dynamics become unstable and complex.

  20. Holographic cinematography of time-varying reflecting and time-varying phase objects using a Nd:YAG laser

    Science.gov (United States)

    Decker, A. J.

    1982-01-01

    The use of a Nd:YAG laser to record holographic motion pictures of time-varying reflecting objects and time-varying phase objects is discussed. Sample frames from both types of holographic motion pictures are presented. The holographic system discussed is intended for three-dimensional flow visualization of the time-varying flows that occur in jet-engine components.

  1. Electric power prices, price control and competition on the European domestic electric power market. Stromtarife, Preisaufsicht und Wettbewerb im Europaeischen Binnenmarkt fuer Strom

    Energy Technology Data Exchange (ETDEWEB)

    Weigt, N

    1993-01-01

    If one speaks of electric power prices and price control in the year 1992, this subject has a different dimension than it did two or three years ago, when the new federal rate scale for electric power (ETO Elt) was drawn up and put into practice. Since the beginning of this year, a draft for guidelines which was drawn up by the EC Commission exists which, going on the assumption that the European domestic electric power market will set an example, does away with territorial protection and in the name of third party access (TPA) allows for electric power-line transit, thus introducing at least partial competition to the electric power market. We no longer think in terms of closed systems with clear-cut responsibilities in regard to power supply, which form the basis for the laws on electric power prices, the cartel laws, the practices of the electric power control board and the cartel authorities. Thus, using the new federal rate scale for electric power and its principles as formulated in Article 1 as a point of departure, developments will go in the direction of a competitive system in accordance with the ideas of the EC Commission and German free-enterprise theoreticians, as laid down for example by the deregulation commission. Thus developments will lead us away from the status quo in the direction of possible reforms, if not to say revolutionary structural changes and the consequnces which they will bring for price and cartel laws. (orig.)

  2. Wind power feed-in impact on electricity prices in Germany 2009-2013

    Directory of Open Access Journals (Sweden)

    François Benhmad

    2016-07-01

    Full Text Available Until quite recently no electricity system had faced the challenges associated with high penetrations of renewable energy sources (RES. In this paper, we carry out an empirical analysis for Germany, as a country with high penetration of wind energy, to investigate the well-known merit-order effect. Our main empirical findings suggest that the increasing share of wind power in-feed induces a decrease of electricity spot price level but an increase of spot prices volatility. Furthermore, the relationship between wind power and spot electricity prices can be strongly impacted by European electricity grids interconnection which behaves like a safety valve lowering volatility and limiting the price decrease. Therefore, the impacts of wind generated electricity on electricity spot markets are less clearly pronounced in interconnected systems.

  3. Use of Local Dynamic Electricity Prices for Indirect Control of DER Power Units

    DEFF Research Database (Denmark)

    Nørgård, Per Bromand; Isleifsson, Fridrik Rafn

    2013-01-01

    the grid voltage. The algorithms generating the local prices are dynamically adjusted according to the actual realised responses to the dynamic prices. Results are presented from an adapted version of the control principle implemented and tested in DTUs experimental research power system, SYSLAB, including...... wind power, solar power, flexible load and electrical storage. The local power price generation is based on the actual Nord Pool DK2 Spot prices on hourly basis as the quasi-stationary global electricity price, and the local SYSLAB's power exchange with the national grid as basis for the dynamic price...... system. A challenge is to find a cheap, simple and robust way to requests the proper power regulation by the DER power units. The use of broadcasted, dynamic power prices and volunteer responses is one option. The paper presents a proposal for and an illustration of advanced generation of local, dynamic...

  4. Feed-in tariff and market electricity price comparison. The case of cogeneration units in Croatia

    International Nuclear Information System (INIS)

    Uran, Vedran; Krajcar, Slavko

    2009-01-01

    In August 2007, the Government of the Republic of Croatia instituted a feed-in tariff system, requiring the Croatian Electricity Market Operator (HROTE) to off-take the electricity produced from renewable energy sources or cogeneration units fueled by natural gas. Analysis of the off-take electricity price range, which depends on the net electrical output and electricity market trends, indicates that it is more cost effective for cogeneration units greater than 1 MW to sell their electricity on the exchange market. This was confirmed by developing a mathematical model to calculate the cost-effectiveness ratio of a cogeneration unit. This ratio represents the relation between the profit spread, i.e. the difference between the profit generated from selling the electricity on the exchange market and the profit made from dispatching the electricity to HROTE, as well as the total investment costs. The model can be applied for changes in certain parameters, such as the net electrical output, volatility and spot electricity price. The Monte Carlo method is used to obtain the most probable cost-effectiveness ratio and average future electricity price. Together with these two economic parameters and market price analysis, it is possible to calculate and calibrate an acceptable off-take electricity price. (author)

  5. Mixed price and load forecasting of electricity markets by a new iterative prediction method

    International Nuclear Information System (INIS)

    Amjady, Nima; Daraeepour, Ali

    2009-01-01

    Load and price forecasting are the two key issues for the participants of current electricity markets. However, load and price of electricity markets have complex characteristics such as nonlinearity, non-stationarity and multiple seasonality, to name a few (usually, more volatility is seen in the behavior of electricity price signal). For these reasons, much research has been devoted to load and price forecast, especially in the recent years. However, previous research works in the area separately predict load and price signals. In this paper, a mixed model for load and price forecasting is presented, which can consider interactions of these two forecast processes. The mixed model is based on an iterative neural network based prediction technique. It is shown that the proposed model can present lower forecast errors for both load and price compared with the previous separate frameworks. Another advantage of the mixed model is that all required forecast features (from load or price) are predicted within the model without assuming known values for these features. So, the proposed model can better be adapted to real conditions of an electricity market. The forecast accuracy of the proposed mixed method is evaluated by means of real data from the New York and Spanish electricity markets. The method is also compared with some of the most recent load and price forecast techniques. (author)

  6. Rough electricity: a new fractal multi-factor model of electricity spot prices

    DEFF Research Database (Denmark)

    Bennedsen, Mikkel

    We introduce a new mathematical model of electricity spot prices which accounts for the most important stylized facts of these time series: seasonality, spikes, stochastic volatility and mean reversion. Empirical studies have found a possible fifth stylized fact, fractality, and our approach...... explicitly incorporates this into the model of the prices. Our setup generalizes the popular Ornstein Uhlenbeck-based multi-factor framework of Benth et al. (2007) and allows us to perform statistical tests to distinguish between an Ornstein Uhlenbeck-based model and a fractal model. Further, through...... the multi-factor approach we account for seasonality and spikes before estimating - and making inference on - the degree of fractality. This is novel in the literature and we present simulation evidence showing that these precautions are crucial to accurate estimation. Lastly, we estimate our model...

  7. Effect of nuclear power generation on the electricity price in Korea

    International Nuclear Information System (INIS)

    Lee, Man Kee; Song, Kee Dong; Kim, Seung Soo; Kim, Sung Kee; Lee, Yung Kun

    1994-12-01

    The main purpose of this study is to estimate the effect of nuclear power generation on the electricity price by analysing electricity supply sector. The effects on electricity price changes are estimated in terms of following respects: - Restriction on the additional introduction of nuclear power plant. - CO 2 emission quantity control and carbon tax. A computer model by using Linear Programming optimization technique was also developed for these analyses. 10 figs, 12 tabs, 32 refs. (Author)

  8. Optimal pricing of non-utility generated electric power

    International Nuclear Information System (INIS)

    Siddiqi, S.N.; Baughman, M.L.

    1994-01-01

    The importance of an optimal pricing policy for pricing non-utility generated power is pointed out in this paper. An optimal pricing policy leads to benefits for all concerned: the utility, industry, and the utility's other customers. In this paper, it is shown that reliability differentiated real-time pricing provides an optimal non-utility generated power pricing policy, from a societal welfare point of view. Firm capacity purchase, and hence an optimal price for purchasing firm capacity, are an integral part of this pricing policy. A case study shows that real-time pricing without firm capacity purchase results in improper investment decisions and higher costs for the system as a whole. Without explicit firm capacity purchase, the utility makes greater investment in capacity addition in order to meet its reliability criteria than is socially optimal. It is concluded that the non-utility generated power pricing policy presented in this paper and implied by reliability differentiated pricing policy results in social welfare-maximizing investment and operation decisions

  9. Empirical Evidence on Time-Varying Hedging Effectiveness of Emissions Allowances under Departures from the Cost-of-Carry Theory

    Directory of Open Access Journals (Sweden)

    Kai Chang

    2013-01-01

    Full Text Available Under departures from the cost-of-carry theory, traded spot prices and conditional volatility disturbed from futures market have significant impacts on futures price of emissions allowances, and then we propose time-varying hedge ratios and hedging effectiveness estimation using ECM-GARCH model. Our empirical results show that conditional variance, conditional covariance, and their correlation between between spot and futures prices exhibit time-varying trends. Conditional volatility of spot prices, conditional volatility disturbed from futures market, and conditional correlation of market noises implied from spot and futures markets have significant effects on time-varying hedge ratios and hedging effectiveness. In the immature emissions allowances market, market participants optimize portfolio sizes between spot and futures assets using historical market information and then achieve higher risk reduction of assets portfolio revenues; accordingly, we can obtain better hedging effectiveness through time-varying hedge ratios with departures from the cost-of-carry theory.

  10. Market price of risk implied by Asian-style electricity options and futures

    Energy Technology Data Exchange (ETDEWEB)

    Weron, Rafal [Hugo Steinhaus Center for Stochastic Methods, Institute of Mathematics and Computer Science, Wroclaw University of Technology, 50-370 Wroclaw (Poland)

    2008-05-15

    In this paper we propose a jump-diffusion type model which recovers the main characteristics of electricity spot price dynamics in the Nordic market, including seasonality, mean-reversion and spiky behavior. We show how the calibration of the market price of risk to actively traded futures contracts allows for efficient valuation of Nord Pool's Asian-style options written on the spot electricity price. Furthermore, we study the evolution of the market price of risk (and the risk premium) over a three year time period and compare the obtained results with those reported in the literature. (author)

  11. Market price of risk implied by Asian-style electricity options and futures

    International Nuclear Information System (INIS)

    Weron, Rafal

    2008-01-01

    In this paper we propose a jump-diffusion type model which recovers the main characteristics of electricity spot price dynamics in the Nordic market, including seasonality, mean-reversion and spiky behavior. We show how the calibration of the market price of risk to actively traded futures contracts allows for efficient valuation of Nord Pool's Asian-style options written on the spot electricity price. Furthermore, we study the evolution of the market price of risk (and the risk premium) over a three year time period and compare the obtained results with those reported in the literature. (author)

  12. Inefficient and opaque price formation in the Japan Electric Power Exchange

    International Nuclear Information System (INIS)

    Nakajima, Tadahiro

    2013-01-01

    This study examines whether the spot prices in the Japan Electric Power Exchange are efficiently formed from April 3, 2006, to March 31, 2012, using the conventional and rank-based variance-ratio tests. The results seem to reject the efficient market hypothesis in the market. Moreover, by applying Granger-causality tests, this paper investigates whether the power price is determined from the information of primary energy and exchange markets that directly affect the cost of power generation. The results indicate no Granger-causality from the prices of oil and gas and the exchange rate to the price of electricity. Finally, this paper discusses the factors that lead to inefficient and mysterious price formation. - Highlights: ► This study examines the wholesale electricity market in Japan. ► Efficient market hypothesis is rejected. ► Prices of imported fuel do not Granger-cause the prices of electricity. ► The WTI prices and the exchange rates do not Granger-cause the power prices

  13. Quantifying price risk of electricity retailer based on CAPM and RAROC methodology

    International Nuclear Information System (INIS)

    Karandikar, R.G.; Khaparde, S.A.; Kulkarni, S.V.

    2007-01-01

    In restructured electricity markets, electricity retailers set up contracts with generation companies (GENCOs) and with end users to meet their load requirements at agreed upon tariff. The retailers invest consumer payments as capital in the volatile competitive market. In this paper, a model for quantifying price risk of electricity retailer is proposed. An IEEE 30 Bus test system is used to demonstrate the model. The Capital Asset Pricing Model (CAPM) is demonstrated to determine the retail electricity price for the end users. The factor Risk Adjusted Recovery on Capital (RAROC) is used to quantify the price risk involved. The methodology proposed in this paper can be used by retailer while submitting proposal for electricity tariff to the regulatory authority. (author)

  14. Quantifying price risk of electricity retailer based on CAPM and RAROC methodology

    Energy Technology Data Exchange (ETDEWEB)

    Karandikar, R.G.; Khaparde, S.A.; Kulkarni, S.V. [Electrical Engineering Department, Indian Institute of Technology Bombay, Mumbai 400 076 (India)

    2007-12-15

    In restructured electricity markets, electricity retailers set up contracts with generation companies (GENCOs) and with end users to meet their load requirements at agreed upon tariff. The retailers invest consumer payments as capital in the volatile competitive market. In this paper, a model for quantifying price risk of electricity retailer is proposed. An IEEE 30 Bus test system is used to demonstrate the model. The Capital Asset Pricing Model (CAPM) is demonstrated to determine the retail electricity price for the end users. The factor Risk Adjusted Recovery on Capital (RAROC) is used to quantify the price risk involved. The methodology proposed in this paper can be used by retailer while submitting proposal for electricity tariff to the regulatory authority. (author)

  15. Time-varying exchange rate pass-through: experiences of some industrial countries

    OpenAIRE

    Toshitaka Sekine

    2006-01-01

    This paper estimates exchange rate pass-through of six major industrial countries using a time-varying parameter with stochastic volatility model. Exchange rate pass-through is divided into impacts of exchange rate fluctuations to import prices (first-stage pass-through) and those of import price movements to consumer prices (second-stage pass-through). The paper finds that both stages of pass-through have declined over time for all the sample countries. The decline in second-stage pass-throu...

  16. Optimal electricity price calculation model for retailers in a deregulated market

    Energy Technology Data Exchange (ETDEWEB)

    Yusta, J.M.; Dominguez-Navarro, J.A. [Zaragoza Univ., Dept. of Electrical Engineering, Zaragoza (Spain); Ramirez-Rosado, I.J. [La Rioja Univ., Dept. of Electrical Engineering, Logrono (Spain); Perez-Vidal, J.M. [McKinnon and Clarke, Energy Services Div., Zaragoza (Spain)

    2005-07-01

    The electricity retailing, a new business in deregulated electric power systems, needs the development of efficient tools to optimize its operation. This paper defines a technical-economic model of an electric energy service provider in the environment of the deregulated electricity market in Spain. This model results in an optimization problem, for calculating the optimal electric power and energy selling prices that maximize the economic profits obtained by the provider. This problem is applied to different cases, where the impact on the profits of several factors, such as the price strategy, the discount on tariffs and the elasticity of customer demand functions, is studied. (Author)

  17. Optimal electricity price calculation model for retailers in a deregulated market

    International Nuclear Information System (INIS)

    Yusta, J.M.; Dominguez-Navarro, J.A.; Ramirez-Rosado, I.J.; Perez-Vidal, J.M.

    2005-01-01

    The electricity retailing, a new business in deregulated electric power systems, needs the development of efficient tools to optimize its operation. This paper defines a technical-economic model of an electric energy service provider in the environment of the deregulated electricity market in Spain. This model results in an optimization problem, for calculating the optimal electric power and energy selling prices that maximize the economic profits obtained by the provider. This problem is applied to different cases, where the impact on the profits of several factors, such as the price strategy, the discount on tariffs and the elasticity of customer demand functions, is studied. (Author)

  18. Probabilistic electricity price forecasting with variational heteroscedastic Gaussian process and active learning

    International Nuclear Information System (INIS)

    Kou, Peng; Liang, Deliang; Gao, Lin; Lou, Jianyong

    2015-01-01

    Highlights: • A novel active learning model for the probabilistic electricity price forecasting. • Heteroscedastic Gaussian process that captures the local volatility of the electricity price. • Variational Bayesian learning that avoids over-fitting. • Active learning algorithm that reduces the computational efforts. - Abstract: Electricity price forecasting is essential for the market participants in their decision making. Nevertheless, the accuracy of such forecasting cannot be guaranteed due to the high variability of the price data. For this reason, in many cases, rather than merely point forecasting results, market participants are more interested in the probabilistic price forecasting results, i.e., the prediction intervals of the electricity price. Focusing on this issue, this paper proposes a new model for the probabilistic electricity price forecasting. This model is based on the active learning technique and the variational heteroscedastic Gaussian process (VHGP). It provides the heteroscedastic Gaussian prediction intervals, which effectively quantify the heteroscedastic uncertainties associated with the price data. Because the high computational effort of VHGP hinders its application to the large-scale electricity price forecasting tasks, we design an active learning algorithm to select a most informative training subset from the whole available training set. By constructing the forecasting model on this smaller subset, the computational efforts can be significantly reduced. In this way, the practical applicability of the proposed model is enhanced. The forecasting performance and the computational time of the proposed model are evaluated using the real-world electricity price data, which is obtained from the ANEM, PJM, and New England ISO

  19. Impacts of High Variable Renewable Energy Futures on Wholesale Electricity Prices, and on Electric-Sector Decision Making

    Energy Technology Data Exchange (ETDEWEB)

    Seel, Joachim [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Mills, Andrew D. [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Wiser, Ryan H. [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Deb, Sidart [LCG Consulting, Los Altos, CA (United States); Asokkumar, Aarthi [LCG Consulting, Los Altos, CA (United States); Hassanzadeh, Mohammad [LCG Consulting, Los Altos, CA (United States); Aarabali, Amirsaman [LCG Consulting, Los Altos, CA (United States)

    2018-05-11

    Increasing penetrations of variable renewable energy (VRE) can affect wholesale electricity price patterns and make them meaningfully different from past, traditional price patterns. Many long-lasting decisions for supply- and demand-side electricity infrastructure and programs are based on historical observations or assume a business-as-usual future with low shares of VRE. Our motivating question is whether certain electric-sector decisions that are made based on assumptions reflecting low VRE levels will still achieve their intended objective in a high VRE future. We qualitatively describe how various decisions may change with higher shares of VRE and outline an analytical framework for quantitatively evaluating the impacts of VRE on long-lasting decisions. We then present results from detailed electricity market simulations with capacity expansion and unit commitment models for multiple regions of the U.S. for low and high VRE futures. We find a general decrease in average annual hourly wholesale energy prices with more VRE penetration, increased price volatility and frequency of very low-priced hours, and changing diurnal price patterns. Ancillary service prices rise substantially and peak net-load hours with high capacity value are shifted increasingly into the evening, particularly for high solar futures. While in this report we only highlight qualitatively the possible impact of these altered price patterns on other demand- and supply-side electric sector decisions, the core set of electricity market prices derived here provides a foundation for later planned quantitative evaluations of these decisions in low and high VRE futures.

  20. Locational marginal prices with SVC in Indian electricity market ...

    African Journals Online (AJOL)

    Spot pricing based on short run marginal cost (SRMC) theory has the potential to provide the economic signals for the power system operation. Reactive power has gained importance as an ancillary service in competitive markets and its impact on nodal price can not be ignored. With the emergence of FACTS technology, ...

  1. Short-term electricity price forecast based on the improved hybrid model

    International Nuclear Information System (INIS)

    Dong Yao; Wang Jianzhou; Jiang He; Wu Jie

    2011-01-01

    Highlights: → The proposed models can detach high volatility and daily seasonality of electricity price. → The improved hybrid forecast models can make full use of the advantages of individual models. → The proposed models create commendable improvements that are relatively satisfactorily for current research. → The proposed models do not require making complicated decisions about the explicit form. - Abstract: Half-hourly electricity price in power system are volatile, electricity price forecast is significant information which can help market managers and participants involved in electricity market to prepare their corresponding bidding strategies to maximize their benefits and utilities. However, the fluctuation of electricity price depends on the common effect of many factors and there is a very complicated random in its evolution process. Therefore, it is difficult to forecast half-hourly prices with traditional only one model for different behaviors of half-hourly prices. This paper proposes the improved forecasting model that detaches high volatility and daily seasonality for electricity price of New South Wales in Australia based on Empirical Mode Decomposition, Seasonal Adjustment and Autoregressive Integrated Moving Average. The prediction errors are analyzed and compared with the ones obtained from the traditional Seasonal Autoregressive Integrated Moving Average model. The comparisons demonstrate that the proposed model can improve the prediction accuracy noticeably.

  2. High penetration wind generation impacts on spot prices in the Australian national electricity market

    International Nuclear Information System (INIS)

    Cutler, Nicholas J.; Boerema, Nicholas D.; MacGill, Iain F.; Outhred, Hugh R.

    2011-01-01

    This paper explores wind power integration issues for the South Australian (SA) region of the Australian National Electricity Market (NEM) by assessing the interaction of regional wind generation, electricity demand and spot prices over 2 recent years of market operation. SA's wind energy penetration has recently surpassed 20% and it has only a limited interconnection with other regions of the NEM. As such, it represents an interesting example of high wind penetration in a gross wholesale pool market electricity industry. Our findings suggest that while electricity demand continues to have the greatest influence on spot prices in SA, wind generation levels have become a significant secondary influence, and there is an inverse relationship between wind generation and price. No clear relationship between wind generation and demand has been identified although some periods of extremely high demand may coincide with lower wind generation. Periods of high wind output are associated with generally lower market prices, and also appear to contribute to extreme negative price events. The results highlight the importance of electricity market and renewable policy design in facilitating economically efficient high wind penetrations. - Highlights: → In South Australia (SA) wind generation is having an influence on market prices. → Little or no correlation is found between wind generation and demand. → Wind farms in SA are receiving a lower average price than in other States. → The results highlight the importance of appropriate electricity market design.

  3. Short-term electricity prices forecasting in a competitive market: A neural network approach

    International Nuclear Information System (INIS)

    Catalao, J.P.S.; Mariano, S.J.P.S.; Mendes, V.M.F.; Ferreira, L.A.F.M.

    2007-01-01

    This paper proposes a neural network approach for forecasting short-term electricity prices. Almost until the end of last century, electricity supply was considered a public service and any price forecasting which was undertaken tended to be over the longer term, concerning future fuel prices and technical improvements. Nowadays, short-term forecasts have become increasingly important since the rise of the competitive electricity markets. In this new competitive framework, short-term price forecasting is required by producers and consumers to derive their bidding strategies to the electricity market. Accurate forecasting tools are essential for producers to maximize their profits, avowing profit losses over the misjudgement of future price movements, and for consumers to maximize their utilities. A three-layered feedforward neural network, trained by the Levenberg-Marquardt algorithm, is used for forecasting next-week electricity prices. We evaluate the accuracy of the price forecasting attained with the proposed neural network approach, reporting the results from the electricity markets of mainland Spain and California. (author)

  4. Short-term electricity price forecast based on the improved hybrid model

    Energy Technology Data Exchange (ETDEWEB)

    Dong Yao, E-mail: dongyao20051987@yahoo.cn [School of Mathematics and Statistics, Lanzhou University, Lanzhou 730000 (China); Wang Jianzhou, E-mail: wjz@lzu.edu.cn [School of Mathematics and Statistics, Lanzhou University, Lanzhou 730000 (China); Jiang He; Wu Jie [School of Mathematics and Statistics, Lanzhou University, Lanzhou 730000 (China)

    2011-08-15

    Highlights: {yields} The proposed models can detach high volatility and daily seasonality of electricity price. {yields} The improved hybrid forecast models can make full use of the advantages of individual models. {yields} The proposed models create commendable improvements that are relatively satisfactorily for current research. {yields} The proposed models do not require making complicated decisions about the explicit form. - Abstract: Half-hourly electricity price in power system are volatile, electricity price forecast is significant information which can help market managers and participants involved in electricity market to prepare their corresponding bidding strategies to maximize their benefits and utilities. However, the fluctuation of electricity price depends on the common effect of many factors and there is a very complicated random in its evolution process. Therefore, it is difficult to forecast half-hourly prices with traditional only one model for different behaviors of half-hourly prices. This paper proposes the improved forecasting model that detaches high volatility and daily seasonality for electricity price of New South Wales in Australia based on Empirical Mode Decomposition, Seasonal Adjustment and Autoregressive Integrated Moving Average. The prediction errors are analyzed and compared with the ones obtained from the traditional Seasonal Autoregressive Integrated Moving Average model. The comparisons demonstrate that the proposed model can improve the prediction accuracy noticeably.

  5. The effect of power distribution privatization on electricity prices in Turkey: Has liberalization served the purpose?

    International Nuclear Information System (INIS)

    Karahan, Hatice; Toptas, Mehmet

    2013-01-01

    Various electricity reforms have been adopted by a number of countries within the last 2 decades. Turkey, as one of those countries, has restructured its electricity market and intensively privatized the distribution companies. As one of the main targets of the liberalization efforts in the sector was announced to be reduced consumer prices, it is a matter of interest to look at the related developments after privatizations. Hence, this study attempts to explore the impact of power distribution privatization in Turkey on the national end-user electricity prices. Results of the analysis suggest that privatization of electricity distribution companies has not yielded the expected retail price declines within the first 4 years of the program. Whereas wholesale tariffs exhibit a reduction in the rate of 10%, retail tariffs show an increase of 5.9% within the period in question. Besides, the unstable patterns of the two tariffs imply that the market is not yet ready for the automatic pricing mechanism planned to be implemented based on a cost-reflective methodology. Therefore, results indicate that the factors behind the unsatisfactory outcomes of the program should be explored in order for the privatization efforts in the Turkish electricity distribution market to serve the purpose. - Highlights: • Privatization in electricity distribution has not reduced the retail prices in transition period in Turkey. • Changes in retail prices do not harmonize with those in wholesale prices in the electricity market. • The cost reflectiveness of the pricing system in the market is questionable. • The market does not seem to be ready yet for the automatic pricing mechanism. • The increase in distribution tariffs is not compatible with the targets of the liberalization program adopted for the Turkish electricity market

  6. The futures and forward price differential in the Nordic electricity market

    International Nuclear Information System (INIS)

    Wimschulte, Jens

    2010-01-01

    This note investigates price differentials between electricity forwards and portfolios of short-term futures with identical delivery periods at the Nordic Power Exchange (Nord Pool). Since both contracts are traded at the same exchange, there is no influence of, for example, different market microstructure and default risk when examining the effect of the marking-to-market of futures on the price differential. Although the prices of the futures portfolios are, on average, below the corresponding forward prices, these price differentials are, on average, not statistically significant and not economically significant when taking transaction costs into account. Given the characteristics of the electricity contracts under observation, this is consistent with the predictions of the model and indicates efficient pricing in the Nord Pool forward market in contrast to previous results. (author)

  7. The futures and forward price differential in the Nordic electricity market

    Energy Technology Data Exchange (ETDEWEB)

    Wimschulte, Jens [University of Regensburg (Germany)

    2010-08-15

    This note investigates price differentials between electricity forwards and portfolios of short-term futures with identical delivery periods at the Nordic Power Exchange (Nord Pool). Since both contracts are traded at the same exchange, there is no influence of, for example, different market microstructure and default risk when examining the effect of the marking-to-market of futures on the price differential. Although the prices of the futures portfolios are, on average, below the corresponding forward prices, these price differentials are, on average, not statistically significant and not economically significant when taking transaction costs into account. Given the characteristics of the electricity contracts under observation, this is consistent with the predictions of the model and indicates efficient pricing in the Nord Pool forward market in contrast to previous results. (author)

  8. A regime-switching copula approach to modeling day-ahead prices in coupled electricity markets

    DEFF Research Database (Denmark)

    Pircalabu, Anca; Benth, Fred Espen

    2017-01-01

    significant evidence of tail dependence in all pairs of interconnected areas we consider. As a first application of the proposed model, we consider the pricing of financial transmission rights, and highlight how the choice of marginal distributions and copula impacts prices. As a second application we......The recent price coupling of many European electricity markets has triggered a fundamental change in the interaction of day-ahead prices, challenging additionally the modeling of the joint behavior of prices in interconnected markets. In this paper we propose a regime-switching AR–GARCH copula...... to model pairs of day-ahead electricity prices in coupled European markets. While capturing key stylized facts empirically substantiated in the literature, this model easily allows us to 1) deviate from the assumption of normal margins and 2) include a more detailed description of the dependence between...

  9. Practical operation strategies for pumped hydroelectric energy storage (PHES) utilising electricity price arbitrage

    DEFF Research Database (Denmark)

    Connolly, David; Lund, Henrik; Finn, P.

    2011-01-01

    In this paper, three practical operation strategies (24Optimal, 24Prognostic, and 24Hsitrocial) are compared to the optimum profit feasible for a PHES facility with a 360 MW pump, 300 MW turbine, and a 2 GWh storage utilising price arbitrage on 13 electricity spot markets. The results indicate...... that almost all (not, vert, similar97%) of the profits can be obtained by a PHES facility when it is optimised using the 24Optimal strategy developed, which optimises the energy storage based on the day-ahead electricity prices. However, to maximise profits with the 24Optimal strategy, the day......-ahead electricity prices must be the actual prices which the PHES facility is charged or the PHES operator must have very accurate price predictions. Otherwise, the predicted profit could be significantly reduced and even become a loss. Finally, using the 24Optimal strategy, the PHES profit can surpass the annual...

  10. Seasonal variation of prices of sugar cane, ethanol and electric power

    International Nuclear Information System (INIS)

    Melo, Carmem Ozana de; Silva, Gerson Henrique da; Bueno, Osmar de Carvalho; Esperancini, Maura Seiko Tsutsui

    2010-01-01

    The aim of this study was to assess the seasonal price of sugar cane, fuel alcohol (hydrated and anhydrous) and electricity tariffs as a way of aiding tool for optimization of energy generation, using biomass originating from cane sugar. Using the method of moving average centered was concluded that cane and electricity rates were close to seasonal average, with low range of prices, suggesting the non-occurrence of seasonal variation in prices. Unlike the seasonal indices of ethanol showed seasonal variation of prices with greater amplitude of seasonal index. Thus, the results suggest that the utilization of by-products of sugar cane to produce electrical power points to the prospect of reducing risks associated with variations in the price of ethanol, thereby contributing to greater stability and possibility to those involved in planning alcohol sector. (author)

  11. Economic information from Smart Meter: Nexus Between Demand Profile and Electricity Retail Price Between Demand Profile and Electricity Retail Price

    OpenAIRE

    Yu, Yang; Liu, Guangyi; Zhu, Wendong; Wang, Fei; Shu, Bin; Zhang, Kai; Rajagopal, Ram; Astier, Nicolas

    2016-01-01

    In this paper, we demonstrate that a consumer's marginal system impact is only determined by their demand profile rather than their demand level. Demand profile clustering is identical to cluster consumers according to their marginal impacts on system costs. A profile-based uniform-rate price is economically efficient as real-time pricing. We develop a criteria system to evaluate the economic efficiency of an implemented retail price scheme in a distribution system by comparing profile cluste...

  12. The impact of intermittent sources of energy on the market price of electricity

    International Nuclear Information System (INIS)

    Adigbli, Patrick; Mahuet, Audrey

    2013-01-01

    Parallel to liberalization of the electricity market, these past twenty years have been marked by a strong expansion of renewable energy in Europe. The increasing share of renewables in the energy mix - with a goal set by the European Commission at 20% by 2020 - has an impact on market prices. In the short run, subsidized intermittent energy may lead to lower prices or even to negative prices during certain periods of the year

  13. Some models for electric power price clearing in liberalized market area

    International Nuclear Information System (INIS)

    Chogelja, Goran; Pavlov, Risto

    2001-01-01

    This paper presents some of the basic models for electrical energy price clearing in liberalized market area and competition on level of consumption and level of production. As an example the Amsterdam power exchange APX (spot market) is given and some of another types of markets and methodology for pricing are presented. In detal 'clearing pricing mechanism in day athead market' from the Amsterdam power exchange is presented as well as the methodology for market balancing and financial clearing. (Original)

  14. Using neural networks and extreme value distributions to model electricity pool prices: Evidence from the Australian National Electricity Market 1998–2013

    International Nuclear Information System (INIS)

    Dev, Priya; Martin, Michael A.

    2014-01-01

    Highlights: • Neural nets are unable to properly capture spiky price behavior found in the electricity market. • We modeled electricity price data from the Australian National Electricity Market over 15 years. • Neural nets need to be augmented with other modeling techniques to capture price spikes. • We fit a Generalized Pareto Distribution to price spikes using a peaks-over-thresholds approach. - Abstract: Competitors in the electricity supply industry desire accurate predictions of electricity spot prices to hedge against financial risks. Neural networks are commonly used for forecasting such prices, but certain features of spot price series, such as extreme price spikes, present critical challenges for such modeling. We investigate the predictive capacity of neural networks for electricity spot prices using Australian National Electricity Market data. Following neural net modeling of the data, we explore extreme price spikes through extreme value modeling, fitting a Generalized Pareto Distribution to price peaks over an estimated threshold. While neural nets capture the smoother aspects of spot price data, they are unable to capture local, volatile features that characterize electricity spot price data. Price spikes can be modeled successfully through extreme value modeling

  15. Australian retail electricity prices: Can we avoid repeating the rising trend of the past?

    International Nuclear Information System (INIS)

    Graham, Paul W.; Brinsmead, Thomas; Hatfield-Dodds, Steve

    2015-01-01

    After a stable or declining real trend that persisted for more than half a century, Australian retail electricity prices have experienced a substantial increase, in real terms, since 2007. This has mainly been driven by increases in the cost of electricity distribution and to a lesser degree in the cost of electricity generation. Reducing greenhouse gas emissions, which is a bipartisan political goal in Australia, will likely deliver further increases in generation costs due to the expected higher cost of low emission technology. Participating in global negotiations on emission reduction targets and designing efficient policy mechanisms have been a major focus of governments over the last several decades. In contrast, managing distribution system costs has received less attention. While there were a number of factors which drove historical increases in distribution costs, management of peak demand growth could help contain or reduce the extent to which consumers, particularly households, experience further increases in distribution costs. The paper demonstrates how different combinations of carbon price and peak demand scenarios could impact future residential and industrial retail electricity prices to 2050 and discusses some behavioural and technological solutions to manage peak demand and potential barriers to their deployment. - Highlights: • We identify the causes of the increase in Australian retail electricity prices. • We identify two sources of likely further cost pressures on electricity prices. • We estimate future retail electricity prices under five scenarios. • We discuss barriers and solutions to controlling peak demand growth.

  16. Analysis of time-varying psoriasis lesion image patterns

    DEFF Research Database (Denmark)

    Maletti, Gabriela Mariel; Ersbøll, Bjarne Kjær; Nielsen, Allan Aasbjerg

    2004-01-01

    The multivariate alteration detection transform is applied to pairs of within and between time varying registered psoriasis image patterns. Color band contribution to the variates explaining maximal change is analyzed.......The multivariate alteration detection transform is applied to pairs of within and between time varying registered psoriasis image patterns. Color band contribution to the variates explaining maximal change is analyzed....

  17. Multivariate time-varying volatility modeling using probabilistic fuzzy systems

    NARCIS (Netherlands)

    Basturk, N.; Almeida, R.J.; Golan, R.; Kaymak, U.

    2016-01-01

    Methods to accurately analyze financial risk have drawn considerable attention in financial institutions. One difficulty in financial risk analysis is the fact that banks and other financial institutions invest in several assets which show time-varying volatilities and hence time-varying financial

  18. Design of variable energy and price components of electricity tariffs as an incentive for system-efficient energy management of flexible consumers in households

    International Nuclear Information System (INIS)

    Schreiber, Michael

    2017-01-01

    To mitigate anthropogenic climate change, both the heating and transport sectors will need to be electrically driven, with the higher electrical demand met by emission-free technologies, in addition to general efficiency improvements. On the generation side, wind and photovoltaic power plants must have a rated power significantly exceeding the current peak demand, in order to cover this increased electrical requirement. On the consumption side, heat pumps and private electric vehicles will increase the percentage of energy withdrawn at the low-voltage level of the new system. Given the right incentives, these customers will shift the energy demand in such a way as to benefit the system. This flexibility can be used as a tool to deal with variable renewable insertion while avoiding simultaneous overloading of the power grid. This thesis analyses and evaluates the effects of different electricity tariff designs on energy consumption. These tariffs should incentivise households to adapt their energy consumption to market prices, without inducing critical peak demands in times of particularly low prices. Therefore, time-varying energy price components and power price components are combined into flexible electricity tariffs and implemented as target functions within an optimization problem. The cost-minimizing effect of household energy management is determined under these flexible tariffs, and the effects of the tariff designs on energy consumption and the induced costs are evaluated. Additionally, the results of the flexible tariff approach are compared with results from a centralized optimization by a virtual power plant. It is possible to develop a design for a suitable flexible tariff that decreases the energy procurement costs of electric vehicles while simultaneously reducing peak demand in comparison to a single real-time pricing incentive. Furthermore, this thesis shows that certain kinds of electricity tariff design do not only fail to support but actually

  19. Optimal pricing and investment in the electricity sector in Tamil Nadu, India

    Science.gov (United States)

    Murthy, Ranganath Srinivas

    2001-07-01

    Faulty pricing policies and inadequate investment in the power sector are responsible for the chronic power shortages that plague Tamil Nadu and the rest of India. Formulae for optimal pricing rules are derived for a social welfare maximizing Electricity Board which sells electricity that is used both as an intermediate, and as a final good. Because of distributional constraints, the optimal prices deviate systematically from marginal costs. Optimal relative price-marginal cost differentials are computed for Tamil Nadu, and are found to indicate a lower degree of subsidization than the prevailing prices. The rationalization of electricity tariffs would very likely increase the Board's revenues. The cost-effectiveness of nuclear power in India is examined by comparing actual data for the Madras Atomic Power Project and the Singrauli coal-fired thermal power station. The conventional (non-environmental) costs of power generation are compared at both market prices and shadow prices, calculated according to the UNIDO guidelines for project evaluation. Despite favorable assumptions for the costs of the nuclear plant, coal had a decided edge over nuclear in Tamil Nadu. Remarkably, the edge varied little when market prices are replaced by shadow prices in the computations. With regard to the environmental costs, far too much remains unknown. More research is therefore needed on the environmental impacts of both types of power generation before a final choice can be made.

  20. Carbon price instead of support schemes: wind power investments by the electricity market

    International Nuclear Information System (INIS)

    Petitet, Marie; Finon, Dominique; Janssen, Tanguy

    2014-10-01

    In this paper we study the development of wind power by the electricity market without any usual support scheme which is aimed at subsidizing non mature renewables, with the sole incentive of a significant carbon price. Long term electricity market and investment decisions simulation by system dynamics modelling is used to trace the electricity generation mix evolution over a 20-year period in a pure thermal system. A range of stable carbon price, as a tax could be, is tested in order to determine the value above which wind power development by market forces becomes economically possible. Not only economic competitiveness in terms of cost price, but also profitability against traditional fossil fuel technologies are necessary for a market-driven development of wind power. Results stress that wind power is really profitable for investors only if the carbon price is very significantly higher than the price required for making wind power MWh's cost price competitive with CCGT and coal-fired plants on the simplistic basis of levelized costs. In this context, the market-driven development of wind power seems only possible if there is a strong commitment to climate policy, reflected by the preference for a stable and high carbon price rather than a fuzzy price of an emission trading scheme. Besides, results show that market-driven development of wind power would require a sky-rocketing carbon price if the initial technology mix includes a share of nuclear plants even with a moratorium on new nuclear development. (authors)

  1. A model for hedging load and price risk in the Texas electricity market

    International Nuclear Information System (INIS)

    Coulon, Michael; Powell, Warren B.; Sircar, Ronnie

    2013-01-01

    Energy companies with commitments to meet customers' daily electricity demands face the problem of hedging load and price risk. We propose a joint model for load and price dynamics, which is motivated by the goal of facilitating optimal hedging decisions, while also intuitively capturing the key features of the electricity market. Driven by three stochastic factors including the load process, our power price model allows for the calculation of closed-form pricing formulas for forwards and some options, products often used for hedging purposes. Making use of these results, we illustrate in a simple example the hedging benefit of these instruments, while also evaluating the performance of the model when fitted to the Texas electricity market. - Highlights: • We present a structural model for electricity spot prices in the ERCOT market. • Relationships between power price and factors such as load and gas price are studied. • Seasonal patterns and load-dependent spikes are shown to be well captured. • Closed-form results for prices of forwards, options and spread options are derived. • We demonstrate the effectiveness of hedging power demand with forwards and options

  2. Application of Neural Network Technologies for Price Forecasting in the Liberalized Electricity Market

    Science.gov (United States)

    Gerikh, Valentin; Kolosok, Irina; Kurbatsky, Victor; Tomin, Nikita

    2009-01-01

    The paper presents the results of experimental studies concerning calculation of electricity prices in different price zones in Russia and Europe. The calculations are based on the intelligent software "ANAPRO" that implements the approaches based on the modern methods of data analysis and artificial intelligence technologies.

  3. Impact of electricity prices on foreign direct investment: Evidence from the European Union

    NARCIS (Netherlands)

    Bartekova, E.; Ziesemer, T.H.W.

    2015-01-01

    In the course of recent years growing concerns over increasing energy prices have emerged in the context of maintaining Europe’s international competitiveness. In particular, rising electricity price differentials adversely affect firms’ total production costs and ultimately impact their investment

  4. Study on Stochastic Optimal Electric Power Procurement Strategies with Uncertain Market Prices

    Science.gov (United States)

    Sakchai, Siripatanakulkhajorn; Saisho, Yuichi; Fujii, Yasumasa; Yamaji, Kenji

    The player in deregulated electricity markets can be categorized into three groups of GENCO (Generator Companies), TRNASCO (Transmission Companies), DISCO (Distribution Companies). This research focuses on the role of Distribution Companies, which purchase electricity from market at randomly fluctuating prices, and provide it to their customers at given fixed prices. Therefore Distribution companies have to take the risk stemming from price fluctuation of electricity instead of the customers. This entails the necessity to develop a certain method to make an optimal strategy for electricity procurement. In such a circumstance, this research has the purpose for proposing the mathematical method based on stochastic dynamic programming to evaluate the value of a long-term bilateral contract of electricity trade, and also a project of combination of the bilateral contract and power generation with their own generators for procuring electric power in deregulated market.

  5. Electrical markets, energy security and technology diversification: nuclear as cover against gas and carbon price risks?

    International Nuclear Information System (INIS)

    Roques, F.A.; Newbery, D.M.; Nuttall, W.J.; Neufville, R. de

    2005-01-01

    Recent tension in the oil and gas markets has brought back the concept of energy offer diversification. Electrical production technology diversification in a country helps improve the security of supply and make up for the negative effects of hydrocarbons price variations. The portfolio and real options theories help to quantify the optimum diversification level for a country or a power company. The cover value of a nuclear investment for a power company facing cost uncertainties (price of gas and of carbon dioxide emission permit) and proceeds (price of electricity) is assessed. A strong link between the prices of gas and electricity reduces incentives to private producers to diversify, disputing the capacity of a liberalized electrical market to achieve optimum technology diversity from a domestic point of view. (authors)

  6. Pricing of contract options for electric power; Precificacao de contrato de opcoes de energia eletrica

    Energy Technology Data Exchange (ETDEWEB)

    Takahashi, Leticia; Gunn, Laura Keiko; Correia, Paulo B. [Universidade Estadual de Campinas (FEM/UNICAMP), SP (Brazil). Fac. de Engenharia Mecanica. Dept. de Energia

    2008-07-01

    The reorganization of the electric sector has improved the opportunity of energy trade through contracts, which have to be considered on the risk evaluation for generating companies. Different types of contracts have been used in electric energy commercialization. This work develops a model for option contract pricing. The classic model of options pricing used in the financial market is based in Black- Scholes. Due to the inherent feature of the Brazilian electrical system, with a strong predominance of hydroelectricity, the seasonal swing of the electricity price is the main source of contractual risk. So, the Black-Scholes model very is not adjusted. To deal with the uncertainties, this work uses an approach based on analysis of scenarios and binomial trees. Case studies are analyzed with binomial tree to calculate the price of the option contract. (author)

  7. The nature of supply side effects on electricity prices: the impact of water temperature

    NARCIS (Netherlands)

    Boogert, Alexander; Dupont, D.Y.

    2005-01-01

    In this paper, we show that the impact of water temperatures on electricity prices observed in Europe in summer 2003 has prevailed for years. We trace its source to technological and regulatory constraints and draw lessons for modelling.

  8. On the electrification of road transport - Learning rates and price forecasts for hybrid-electric and battery-electric vehicles

    International Nuclear Information System (INIS)

    Weiss, Martin; Patel, Martin K.; Junginger, Martin; Perujo, Adolfo; Bonnel, Pierre; Grootveld, Geert van

    2012-01-01

    Hybrid-electric vehicles (HEVs) and battery-electric vehicles (BEVs) are currently more expensive than conventional passenger cars but may become cheaper due to technological learning. Here, we obtain insight into the prospects of future price decline by establishing ex-post learning rates for HEVs and ex-ante price forecasts for HEVs and BEVs. Since 1997, HEVs have shown a robust decline in their price and price differential at learning rates of 7±2% and 23±5%, respectively. By 2010, HEVs were only 31±22 € 2010 kW −1 more expensive than conventional cars. Mass-produced BEVs are currently introduced into the market at prices of 479±171 € 2010 kW −1 , which is 285±213 € 2010 kW −1 and 316±209 € 2010 kW −1 more expensive than HEVs and conventional cars. Our forecast suggests that price breakeven with these vehicles may only be achieved by 2026 and 2032, when 50 and 80 million BEVs, respectively, would have been produced worldwide. We estimate that BEVs may require until then global learning investments of 100–150 billion € which is less than the global subsidies for fossil fuel consumption paid in 2009. These findings suggest that HEVs, including plug-in HEVs, could become the dominant vehicle technology in the next two decades, while BEVs may require long-term policy support. - Highlights: ► Learning rates for hybrid-electric and battery-electric vehicles. ► Prices and price differentials of hybrid-electric vehicles show a robust decline. ► Battery-electric vehicles may require policy support for decades.

  9. A comparison of pay-as-bid and marginal pricing in electricity markets

    Science.gov (United States)

    Ren, Yongjun

    This thesis investigates the behaviour of electricity markets under marginal and pay-as-bid pricing. Marginal pricing is believed to yield the maximum social welfare and is currently implemented by most electricity markets. However, in view of recent electricity market failures, pay-as-bid has been extensively discussed as a possible alternative to marginal pricing. In this research, marginal and pay-as-bid pricing have been analyzed in electricity markets with both perfect and imperfect competition. The perfect competition case is studied under both exact and uncertain system marginal cost prediction. The comparison of the two pricing methods is conducted through two steps: (i) identify the best offer strategy of the generating companies (gencos); (ii) analyze the market performance under these optimum genco strategies. The analysis results together with numerical simulations show that pay-as-bid and marginal pricing are equivalent in a perfect market with exact system marginal cost prediction. In perfect markets with uncertain demand prediction, the two pricing methods are also equivalent but in an expected value sense. If we compare from the perspective of second order statistics, all market performance measures exhibit much lower values under pay-as-bid than under marginal pricing. The risk of deviating from the mean is therefore much higher under marginal pricing than under pay-as-bid. In an imperfect competition market with exact demand prediction, the research shows that pay-as-bid pricing yields lower consumer payments and lower genco profits. This research provides quantitative evidence that challenges some common claims about pay-as-bid pricing. One is that under pay-as-bid, participants would soon learn how to offer so as to obtain the same or higher profits than what they would have obtained under marginal pricing. This research however shows that, under pay-as-bid, participants can at best earn the same profit or expected profit as under marginal

  10. Multivariate Granger causality between electricity generation, exports, prices and GDP in Malaysia

    International Nuclear Information System (INIS)

    Lean, Hooi Hooi; Smyth, Russell

    2010-01-01

    This paper employs annual data for Malaysia from 1970 to 2008 to examine the causal relationship between economic growth, electricity generation, exports and prices in a multivariate model. We find that there is unidirectional Granger causality running from economic growth to electricity generation. However, neither the export-led nor handmaiden theories of trade are supported and there is no causal relationship between prices and economic growth. The policy implication of this result is that electricity conservation policies, including efficiency improvement measures and demand management policies, which are designed to reduce the wastage of electricity and curtail generation can be implemented without having an adverse effect on Malaysia's economic growth. (author)

  11. Neural networks approach to forecast several hour ahead electricity prices and loads in deregulated market

    Energy Technology Data Exchange (ETDEWEB)

    Mandal, Paras; Senjyu, Tomonobu [Department of Electrical and Electronics, University of the Ryukyus, 1 Senbaru, Nagakami Nishihara, Okinawa 903-0213 (Japan); Funabashi, Toshihisa [Meidensha Corporation, Tokyo 103-8515 (Japan)

    2006-09-15

    In daily power markets, forecasting electricity prices and loads are the most essential task and the basis for any decision making. An approach to predict the market behaviors is to use the historical prices, loads and other required information to forecast the future prices and loads. This paper introduces an approach for several hour ahead (1-6h) electricity price and load forecasting using an artificial intelligence method, such as a neural network model, which uses publicly available data from the NEMMCO web site to forecast electricity prices and loads for the Victorian electricity market. An approach of selection of similar days is proposed according to which the load and price curves are forecasted by using the information of the days being similar to that of the forecast day. A Euclidean norm with weighted factors is used for the selection of the similar days. Two different ANN models, one for one to six hour ahead load forecasting and another for one to six hour ahead price forecasting have been proposed. The MAPE (mean absolute percentage error) results show a clear increasing trend with the increase in hour ahead load and price forecasting. The sample average of MAPEs for one hour ahead price forecasts is 9.75%. This figure increases to only 20.03% for six hour ahead predictions. Similarly, the one to six hour ahead load forecast errors (MAPE) range from 0.56% to 1.30% only. MAPE results show that several hour ahead electricity prices and loads in the deregulated Victorian market can be forecasted with reasonable accuracy. (author)

  12. Neural networks approach to forecast several hour ahead electricity prices and loads in deregulated market

    International Nuclear Information System (INIS)

    Mandal, Paras; Senjyu, Tomonobu; Funabashi, Toshihisa

    2006-01-01

    In daily power markets, forecasting electricity prices and loads are the most essential task and the basis for any decision making. An approach to predict the market behaviors is to use the historical prices, loads and other required information to forecast the future prices and loads. This paper introduces an approach for several hour ahead (1-6 h) electricity price and load forecasting using an artificial intelligence method, such as a neural network model, which uses publicly available data from the NEMMCO web site to forecast electricity prices and loads for the Victorian electricity market. An approach of selection of similar days is proposed according to which the load and price curves are forecasted by using the information of the days being similar to that of the forecast day. A Euclidean norm with weighted factors is used for the selection of the similar days. Two different ANN models, one for one to six hour ahead load forecasting and another for one to six hour ahead price forecasting have been proposed. The MAPE (mean absolute percentage error) results show a clear increasing trend with the increase in hour ahead load and price forecasting. The sample average of MAPEs for one hour ahead price forecasts is 9.75%. This figure increases to only 20.03% for six hour ahead predictions. Similarly, the one to six hour ahead load forecast errors (MAPE) range from 0.56% to 1.30% only. MAPE results show that several hour ahead electricity prices and loads in the deregulated Victorian market can be forecasted with reasonable accuracy

  13. The economic impact of carbon pricing with regulated electricity prices in China—An application of a computable general equilibrium approach

    International Nuclear Information System (INIS)

    Li, Ji Feng; Wang, Xin; Zhang, Ya Xiong; Kou, Qin

    2014-01-01

    We use a dynamic CGE model (SICGE) to assess the economic and climate impacts of emissions trading system (ETS) in China with a carbon price of 100 Yuan/ton CO2. A particular focus is given to the regulated electricity price regime, which is a major concern of electricity sector’s cost-effective participation in ETS in China. We found: (1) Carbon pricing is an effective policy for China to reduce CO 2 emissions. Total CO 2 emissions reduction ranges from 6.8% to 11.2% in short-term. (2) Rigid electricity price entails lower CO 2 emissions reduction but can be considered as a feasible starting point to introduce carbon pricing policies in short-term as long as governmental subsidies are given to electricity production. (3) In mid- and long-term, the efficient policy is to earmark carbon revenue with competitive electricity price. We propose to use carbon revenue to reduce consumption tax in the first year of the introduction of carbon price and to use the carbon revenue to reduce production tax in following years. - Highlights: • We use a CGE model to assess the impacts of carbon pricing in China. • We test different scenarios of carbon cost pass-through in electricity price. • Carbon pricing policy cost-efficiency is examined with double-dividend hypothesis

  14. POWERS. Simulation of pricing and investment decisions in a liberalized Dutch electricity market

    International Nuclear Information System (INIS)

    Rijkers, F.A.M.; Battjes, J.J.; Janszen, F.H.A.; Kaag, M.

    2001-02-01

    With the liberalisation of the Dutch electricity market the electricity price will be divided into a network component and a commodity component. Further, liberalisation will change the determination of the commodity price. Before liberalisation the commodity price was centrally determined by the Sep (Samenwerkende Electriciteitsproductiebedrijven or Dutch Electricity Generating Board), but with the introduction of liberalisation prices will be determined by the market itself. To analyse the liberalised market a new model (POWERS) has been developed in which the new structure of the electricity market is incorporated and the increasing competition between energy companies is taken into account. An overview of the POWERS-model is presented in this report. The model is based on the system dynamics. This means that the decisions (regarding production volume, allocation of the plants, price setting) made by each market player is based on information from the previous period. Optimisation models that are based on the assumption of 'perfect foresight' do not apply to the electricity market. Currently, the model contains a detailed description of the production capacity of the current market players in the Netherlands. Among other purposes the model is suitable for determining an outlook of forward prices on the Dutch electricity market and for analysing the impacts of alternative strategies of the different market players on their profits. 4 refs

  15. Lower electricity prices and greenhouse gas emissions due to rooftop solar: empirical results for Massachusetts

    International Nuclear Information System (INIS)

    Kaufmann, Robert K.; Vaid, Devina

    2016-01-01

    Monthly and hourly correlations among photovoltaic (PV) capacity utilization, electricity prices, electricity consumption, and the thermal efficiency of power plants in Massachusetts reduce electricity prices and carbon emissions beyond average calculations. PV utilization rates are highest when the thermal efficiencies of natural gas fired power plants are lowest, which reduces emissions of CO 2 and CH 4 by 0.3% relative to the annual average emission rate. There is a positive correlation between PV utilization rates and electricity prices, which raises the implied price of PV electricity by up to 10% relative to the annual average price, such that the average MWh reduces electricity prices by $0.26–$1.86 per MWh. These price reductions save Massachusetts rate-payers $184 million between 2010 and 2012. The current and net present values of these savings are greater than the cost of solar renewable energy credits which is the policy instrument that is used to accelerate the installation of PV capacity. Together, these results suggest that rooftop PV is an economically viable source of power in Massachusetts even though it has not reached socket parity. - Highlights: •Implied price of PV up to 10% greater than the annual average price. •PV saves Massachusetts rate-payers $184 million in 2010–2012. •Annual savings are greater than the cost of solar renewable energy credits. •Savings rise longer lifetime of PV systems and pay period for SREC's shortened. •PV reduces emissions of CO 2 and CH 4 by 0.3% relative to the annual average.

  16. Estimating deficit probabilities with price-responsive demand in contract-based electricity markets

    International Nuclear Information System (INIS)

    Galetovic, Alexander; Munoz, Cristian M.

    2009-01-01

    Studies that estimate deficit probabilities in hydrothermal systems have generally ignored the response of demand to changing prices, in the belief that such response is largely irrelevant. We show that ignoring the response of demand to prices can lead to substantial over or under estimation of the probability of an energy deficit. To make our point we present an estimation of deficit probabilities in Chile's Central Interconnected System between 2006 and 2010. This period is characterized by tight supply, fast consumption growth and rising electricity prices. When the response of demand to rising prices is acknowledged, forecasted deficit probabilities and marginal costs are shown to be substantially lower

  17. Market Power in Power Markets: Evidence from Forward Prices of Electricity

    DEFF Research Database (Denmark)

    Christensen, Bent Jesper; Jensen, Thomas Elgaard; Mølgaard, Rune

    We examine the forward market for electricity for indications of misuse of market power, using a unique data set on OTC price indications posted by Elsam A/S, the dominant producer in Western Denmark, which is one of the price areas under the Nordic power exchange Nord Pool. The Danish Competition...... Council (the regulatory government agency) has ruled that Elsam has used its dominant position to obtain excessive spot prices over a period from July 2003 through December 2006. We show that significant forward premia exist, and that they are related both to spot market volatility and misuse of market...... are consistent across forward premium regressions and structural forward pricing models....

  18. Forecasting electricity spot-prices using linear univariate time-series models

    International Nuclear Information System (INIS)

    Cuaresma, Jesus Crespo; Hlouskova, Jaroslava; Kossmeier, Stephan; Obersteiner, Michael

    2004-01-01

    This paper studies the forecasting abilities of a battery of univariate models on hourly electricity spot prices, using data from the Leipzig Power Exchange. The specifications studied include autoregressive models, autoregressive-moving average models and unobserved component models. The results show that specifications, where each hour of the day is modelled separately present uniformly better forecasting properties than specifications for the whole time-series, and that the inclusion of simple probabilistic processes for the arrival of extreme price events can lead to improvements in the forecasting abilities of univariate models for electricity spot prices. (Author)

  19. Electricity-market price and nuclear power plant shutdown: Evidence from California

    International Nuclear Information System (INIS)

    Woo, C.K.; Ho, T.; Zarnikau, J.; Olson, A.; Jones, R.; Chait, M.; Horowitz, I.; Wang, J.

    2014-01-01

    Japan's Fukushima nuclear disaster, triggered by the March 11, 2011 earthquake, has led to calls for shutting down existing nuclear plants. To maintain resource adequacy for a grid's reliable operation, one option is to expand conventional generation, whose marginal unit is typically fueled by natural-gas. Two timely and relevant questions thus arise for a deregulated wholesale electricity market: (1) what is the likely price increase due to a nuclear plant shutdown? and (2) what can be done to mitigate the price increase? To answer these questions, we perform a regression analysis of a large sample of hourly real-time electricity-market price data from the California Independent System Operator (CAISO) for the 33-month sample period of April 2010–December 2012. Our analysis indicates that the 2013 shutdown of the state's San Onofre plant raised the CAISO real-time hourly market prices by $6/MWH to $9/MWH, and that the price increases could have been offset by a combination of demand reduction, increasing solar generation, and increasing wind generation. - Highlights: • Japan's disaster led to calls for shutting down existing nuclear plants. • We perform a regression analysis of California's real-time electricity-market prices. • We estimate that the San Onofre plant shutdown has raised the market prices by $6/MWH to $9/MWH. • The price increases could be offset by demand reduction and renewable generation increase

  20. Consumer Behavior towards Scheduling and Pricing of Electric Cars Recharging: Theoretical and Experimental Analysis

    DEFF Research Database (Denmark)

    Fetene, Gebeyehu Manie

    electric cars. The last chapter deals with analysis of energy consumption rate and its determinants of electric cars under the hands of customers. A variety of techniques are used including analysis of field data, economics laboratory experiments and theoretical modeling with simulation. Chapter one...... and Pricing of Electric Vehicle Recharging’, proposes, and tests at laboratory, contracts about recharging BEVs combining the ultimatum game framework and the myopic loss aversion (MLA) behavioral hypothesis. The model represents the behavior of EV-owners trading-off between the amount of the discount on fee...... price as long-term contracts may curtail MLA behavior and help BEV owners to choose cost minimizing recharging time and, simultaneously, may help to reduce BEVs impact on the electricity grid system. The fourth chapter, ‘Using the Peer Effect in Scheduling and Pricing Electric Vehicles Recharging...

  1. Trend of electricity prices in privatised industry: UK compared to other european countries 1985-1994

    International Nuclear Information System (INIS)

    Lorenzoni, A.

    1995-01-01

    Great efforts are devoted nowadays in many countries to reform the electric power system in order to achieve higher efficiency. The model under consideration is, more or less overtly, the new Electricity Supply Industry (ESI) in England and Wales which first transformed the vertically integrated state monopoly and introduced as the same time competition in electricity generation and supply. This paper analyses the trend of the final prices in UK during the ESI structural transformation between 1985 and 1994, since the final price of electricity is acknowledge as a good indicator of the performance of an ESI, and highlights the impact of privatisation on the different classes of consumers. It is investigated the evolution of the ratio between regulated-prices and free-market prices to further understand who profited from the new structure of the industry; the study continues with a comparison among the prices in UK, Italy and France. The analysis applies first to the nominal prices, and secondly to the deflated prices, in order to compare different years at constant purchase power

  2. Day-ahead deregulated electricity market price forecasting using neural network input featured by DCT

    International Nuclear Information System (INIS)

    Anbazhagan, S.; Kumarappan, N.

    2014-01-01

    Highlights: • We presented DCT input featured FFNN model for forecasting in Spain market. • The key factors impacting electricity price forecasting are historical prices. • Past 42 days were trained and the next 7 days were forecasted. • The proposed approach has a simple and better NN structure. • The DCT-FFNN mode is effective and less computation time than the recent models. - Abstract: In a deregulated market, a number of factors determined the outcome of electricity price and displays a perplexed and maverick fluctuation. Both power producers and consumers needs single compact and robust price forecasting tool in order to maximize their profits and utilities. In order to achieve the helter–skelter kind of electricity price, one dimensional discrete cosine transforms (DCT) input featured feed-forward neural network (FFNN) is modeled (DCT-FFNN). The proposed FFNN is a single compact and robust architecture (without hybridizing the various hard and soft computing models). It has been predicted that the DCT-FFNN model is close to the state of the art can be achieved with less computation time. The proposed DCT-FFNN approach is compared with 17 other recent approaches to estimate the market clearing prices of mainland Spain. Finally, the accuracy of the price forecasting is also applied to the electricity market of New York in year 2010 that shows the effectiveness of the proposed DCT-FFNN approach

  3. Research on Double Price Regulations and Peak Shaving Reserve Mechanism in Coal-Electricity Supply Chain

    Directory of Open Access Journals (Sweden)

    Hongjun Peng

    2013-01-01

    Full Text Available The game models were used to study the mechanism of coal-electricity price conflict under conditions of double price regulations of coal and electricity. Based on this, the peak shaving reserve mechanism was designed to probe into the countermeasures against the coal-electricity price conflicts. The study revealed that in the boom seasons of coal demand, the initiatives of the coal enterprises to supply thermal coal and the electricity enterprises to order thermal coal are reduced under conditions of double price regulations. However, under the circumstances of coal price marketization, in the boom seasons of coal demand the thermal coal price may go up obviously, the initiatives of the coal enterprises to supply thermal coal are increased, and meanwhile the initiatives of the power enterprises to order thermal coal are decreased dramatically. The transportation capacity constraint of coal supply leads to the evident decrease of the initiatives of coal enterprises for the thermal coal supply. The mechanism of peak shaving reserve of thermal coal may not only reduce the price of coal market but also increase the enthusiasm of the power enterprises to order more thermal coal and the initiatives of the coal enterprises to supply more thermal coal.

  4. Electricity transmission pricing: Tracing based point-of-connection tariff

    International Nuclear Information System (INIS)

    Abhyankar, A.R.; Khaparde, S.A.

    2009-01-01

    Point-of-connection (POC) scheme of transmission pricing in decentralized markets charges the participants a single rate per MW depending on their point-of-connection. Use of grossly aggregated postage stamp rates as POC charges fails to provide appropriate price signals. The POC tariff based on distribution of network sunk costs by employing conventional tracing assures recovery of sunk costs based on extent of use of network by participants. However, the POC tariff by this method does not accommodate economically efficient price signals which correspond to marginal costs. On the other hand, the POC tariff, if made proportional to marginal costs alone, fails to account for sunk costs and extent of use of network. This paper overcomes these lacunae by combining the above stated desired objectives under the recently proposed optimal tracing framework. Since real power tracing problem is amenable to multiple solutions, it is formulated as linearly constrained optimization problem. By employing this methodology, consideration of extent of network use and sunk cost recovery are guaranteed, while objective function is designed such that the spatial pattern of price signals closely follows the pattern of scaled locational marginal prices. The methodology is tested on IEEE 30 bus system, wherein average power flow pattern is established by running various simulation states on congested and un-congested network conditions. (author)

  5. Transmission pricing in privately-owned electricity grids: An illustration from the Argentine electricity pool

    International Nuclear Information System (INIS)

    Abdala, Manuel A.

    2008-01-01

    The Argentine electricity reform of 1992 offers an interesting example of decentralized transmission pricing arrangements within a competitive system. This paper is a shortened version of an original analysis made in 1994 of the regulation of the Argentine transmission system, with emphasis on investment cost allocation rules. To make up for the limitation of short-run marginal cost (SRMC) pricing, incentives on service quality were put in place, including penalties for lack of line availability. The mechanism for capacity expansion, based on ad-hoc rules for allocations of investment costs, had the potential to produce non-optimal investment outcomes, as such rules ignored beneficiaries on the demand side. For fine tuning of this system, I proposed an alternative rule based on traditional welfare analysis that broadens the universe of identified beneficiaries, and thus can be expected to produce a fairer outcome on investment cost allocation, reducing the potential risks of non-optimal investment. A brief postscript comments on the paper from the perspective of 2007. (author)

  6. Modeling a clean energy standard for electricity: Policy design implications for emissions, supply, prices, and regions

    International Nuclear Information System (INIS)

    Paul, Anthony; Palmer, Karen; Woerman, Matt

    2013-01-01

    The electricity sector is responsible for roughly 40% of U.S. carbon dioxide (CO 2 ) emissions, and a reduction in CO 2 emissions from electricity generation is an important component of the U.S. strategy to reduce greenhouse gas emissions. Toward that goal, several proposals for a clean energy standard (CES) have been put forth, including one espoused by the Obama administration that calls for 80% clean electricity by 2035 phased in from current levels of roughly 40%. This paper looks at the effects of such a policy on CO 2 emissions from the electricity sector, the mix of technologies used to supply electricity, electricity prices, and regional flows of clean energy credits. The CES leads to a 30% reduction in cumulative CO 2 emissions between 2013 and 2035 and results in dramatic reductions in generation from conventional coal. The policy also results in fairly modest increases on national electricity prices, but this masks a wide variety of effects across regions. - Highlights: ► We model a clean energy standard (CES) for electricity at 80% by 2035. ► We analyze effects on CO 2 emissions, investment, prices, and credit trading. ► 80% CES leads to 30% reduction in cumulative CO 2 emissions by 2035. ► Modest national average electricity price increase masks regional heterogeneity

  7. Electricity structure and the impact on pricing, trade and the environment

    International Nuclear Information System (INIS)

    Pineau, P.O.

    2007-01-01

    The feasibility of integrating different electricity markets was discussed along with the benefits that can be derived. It was noted that some important differences in Canadian electricity markets create distortions that are harmful both economically and environmentally. Indirect subsidies provided to electricity consumers in British Columbia, Saskatchewan, Manitoba and Quebec result in inefficient consumption levels and in missed opportunities to reduce greenhouse gas (GHG) emissions. The structure of the Canadian electricity sector is characterized by public ownership and decentralization at the provincial level. The impact that this structure has on pricing policies, independent planning and environmental strategies was discussed. Alberta and Ontario have an hourly spot market fixing the market price for electricity, but all the other provinces use a pricing policy based on average cost, including a return on investment. This article also addressed the issue of electric generating units (EGUs) within each province and and their role in meeting provincial electricity demands. It was shown that electricity prices do not reflect the value of the resource across Canada. It was cautioned that subsidies create low electricity prices that result in inefficient consumption levels, thereby preventing clean hydropower to be exported to market-based provinces as a substitute to diesel, natural gas or coal-fuelled EGUs. An estimate of the indirect subsidies was presented in this article along with an analysis of possible consumption reduction scenarios if market prices were used. Carbon dioxide-equivalent emissions reductions that could be obtained if the saved energy was entirely exported were also estimated. Transmission issues involved in exporting electricity were also reviewed. It was argued that once strong financial incentives are in place to induce change, then economic and environmental gains will be proven. 9 tabs., 3 figs

  8. An analysis of the impact of Renewable Portfolio Standards on residential electricity prices

    Science.gov (United States)

    Larson, Andrew James

    A Renewable Portfolio Standard (RPS) has become a popular policy for states seeking to increase the amount of renewable energy generated for consumers of electricity. The success of these state programs has prompted debate about the viability of a national RPS. The impact that these state level policies have had on the price consumers pay for electricity is the subject of some debate. Several federal organizations have conducted studies of the impact that a national RPS would have on electricity prices paid by consumers. NREL and US EIA utilize models that analyze the inputs in electricity generation to examine the future price impact of changes to electricity generation and show marginal increases in prices paid by end users. Other empirical research has produced similar results, showing that the existence of an RPS increases the price of electricity. These studies miss important aspects of RPS policies that may change how we view these price increases from RPS policies. By examining the previous empirical research on RPS policies, this study seeks to identify the controls necessary to build an effective model. These controls are utilized in a fixed effects model that seeks to show how the controls and variables of interest impact electricity prices paid by residential consumers of electricity. This study utilizes a panel data set from 1990 to 2014 to analyze the impact of these policies controlling for generating capacity, the regulatory status of utilities in each state, demographic characteristics of the states, and fuel prices. The results of the regressions indicate that prices are likely to be higher in states that have an RPS compared to states that do not have such a policy. Several of the characteristics mentioned above have price impacts, and so discussing RPS policies in the context of other factors that contribute to electricity prices is essential. In particular, the regulatory status of utilities in each state is an important determinate of price as

  9. Optimal pricing of default customers in electrical distribution systems: Effect behavior performance of demand response models

    International Nuclear Information System (INIS)

    Yusta, J.M.; Khodr, H.M.; Urdaneta, A.J.

    2007-01-01

    The response of a non-linear mathematical model is analyzed for the calculation of the optimal prices for electricity assuming default customers under different scenarios and using five different mathematical functions for the consumer response: linear, hyperbolic, potential, logarithmic and exponential. The mathematical functions are defined to simulate the hourly changes in the consumer response according to the load level, the price of electricity, and also depending on the elasticity at every hour. The behavior of the optimization model is evaluated separately under two different objective functions: the profit of the electric utility and the social welfare. The optimal prices as well as the served load are calculated for two different operation schemes: in an hourly basis and also assuming a single constant price for the 24 h of the day. Results obtained by the optimization model are presented and compared for the five different consumer load functions. (author)

  10. The effects of utility DSM programs on electricity costs and prices

    Energy Technology Data Exchange (ETDEWEB)

    Hirst, E.

    1991-11-01

    More and more US utilities are running more and larger demand-side management (DSM) programs. Assessing the cost-effectiveness of these programs raises difficult questions for utilities and their regulators. Should these programs aim to minimize the total cost of providing electric-energy services or should they minimize the price of electricity? This study offers quantitative estimates on the tradeoffs between total costs and electricity prices. This study uses a dynamic model to assess the effects of energy-efficiency programs on utility revenues, total resource costs, electricity prices, and electricity consumption for the period 1990 to 2010. These DSM programs are assessed under alternative scenarios. In these cases, fossil-fuel prices, load growth, the amount of excess capacity the utility has in 1990, planned retirements of power plants, the financial treatment of DSM programs, and the costs of energy- efficient programs vary. These analyses are conducted for three utilities: a ``base`` that is typical of US utilities; a ``surplus`` utility that has excess capacity, few planned retirements, and slow growth in fossil-fuel prices and incomes; and a ``deficit`` utility that has little excess capacity, many planned retirements, and rapid growth in fossil-fuel prices and incomes. 28 refs.

  11. The effects of utility DSM programs on electricity costs and prices

    Energy Technology Data Exchange (ETDEWEB)

    Hirst, E.

    1991-11-01

    More and more US utilities are running more and larger demand-side management (DSM) programs. Assessing the cost-effectiveness of these programs raises difficult questions for utilities and their regulators. Should these programs aim to minimize the total cost of providing electric-energy services or should they minimize the price of electricity This study offers quantitative estimates on the tradeoffs between total costs and electricity prices. This study uses a dynamic model to assess the effects of energy-efficiency programs on utility revenues, total resource costs, electricity prices, and electricity consumption for the period 1990 to 2010. These DSM programs are assessed under alternative scenarios. In these cases, fossil-fuel prices, load growth, the amount of excess capacity the utility has in 1990, planned retirements of power plants, the financial treatment of DSM programs, and the costs of energy- efficient programs vary. These analyses are conducted for three utilities: a base'' that is typical of US utilities; a surplus'' utility that has excess capacity, few planned retirements, and slow growth in fossil-fuel prices and incomes; and a deficit'' utility that has little excess capacity, many planned retirements, and rapid growth in fossil-fuel prices and incomes. 28 refs.

  12. Price and access charge discrimination in electricity distribution: an application to the Chilean case

    International Nuclear Information System (INIS)

    Raineri, R.; Giaconi, P.

    2005-01-01

    This paper presents and analyzes a model of electricity distribution in Chile with three alternative regulatory pricing contract schemes for assigning a common capacity cost to final customers and competitive energy sellers. The first scheme involves Ramsey Pricing, while under the second and third schemes the monopoly chooses final prices and access charges subject either to a peak-load Physical Cap or a total revenue Price Cap constraint. In addition, we consider circumstances in which the regulator does not know consumer demand, the monopoly cannot price discriminate beyond a range defined by the marginal cost as a floor and the stand-alone cost as a ceiling, and access charges are set at the fully distributed cost allocation level currently in force. The model is calibrated with Chilean data, and demonstrates that in terms of social welfare the fully distributed cost contract scheme currently in effect can be improved by discriminatory pricing complemented by certain of the analyzed constraints. (author)

  13. The relationship between spot and futures prices in the Nord Pool electricity market

    International Nuclear Information System (INIS)

    Botterud, Audun; Kristiansen, Tarjei; Ilic, Marija D.

    2010-01-01

    We analyze 11 years of historical spot- and futures prices from the hydro-dominated Nord Pool electricity market. We find that futures prices tend to be higher than spot prices. The average convenience yield is therefore negative, but varies by season and depends on the storage levels in hydro reservoirs. The average realized return on holding a long position in the futures market is also negative. The negative convenience yield and risk premium contrast empirical findings in most other commodity markets. We argue that differences between the supply and demand sides in terms of risk preferences and the ability to take advantage of short-term price variations can contribute to explain the observed relationship between spot- and futures prices. In addition, our analysis shows that the relationship between spot and futures prices is clearly linked to the physical state of the system, such as hydro inflow, reservoir levels, and demand. (author)

  14. Design of 2D Time-Varying Vector Fields

    KAUST Repository

    Chen, Guoning; Kwatra, Vivek; Wei, Li-Yi; Hansen, Charles D.; Zhang, Eugene

    2012-01-01

    Design of time-varying vector fields, i.e., vector fields that can change over time, has a wide variety of important applications in computer graphics. Existing vector field design techniques do not address time-varying vector fields. In this paper, we present a framework for the design of time-varying vector fields, both for planar domains as well as manifold surfaces. Our system supports the creation and modification of various time-varying vector fields with desired spatial and temporal characteristics through several design metaphors, including streamlines, pathlines, singularity paths, and bifurcations. These design metaphors are integrated into an element-based design to generate the time-varying vector fields via a sequence of basis field summations or spatial constrained optimizations at the sampled times. The key-frame design and field deformation are also introduced to support other user design scenarios. Accordingly, a spatial-temporal constrained optimization and the time-varying transformation are employed to generate the desired fields for these two design scenarios, respectively. We apply the time-varying vector fields generated using our design system to a number of important computer graphics applications that require controllable dynamic effects, such as evolving surface appearance, dynamic scene design, steerable crowd movement, and painterly animation. Many of these are difficult or impossible to achieve via prior simulation-based methods. In these applications, the time-varying vector fields have been applied as either orientation fields or advection fields to control the instantaneous appearance or evolving trajectories of the dynamic effects. © 1995-2012 IEEE.

  15. Design of 2D time-varying vector fields.

    Science.gov (United States)

    Chen, Guoning; Kwatra, Vivek; Wei, Li-Yi; Hansen, Charles D; Zhang, Eugene

    2012-10-01

    Design of time-varying vector fields, i.e., vector fields that can change over time, has a wide variety of important applications in computer graphics. Existing vector field design techniques do not address time-varying vector fields. In this paper, we present a framework for the design of time-varying vector fields, both for planar domains as well as manifold surfaces. Our system supports the creation and modification of various time-varying vector fields with desired spatial and temporal characteristics through several design metaphors, including streamlines, pathlines, singularity paths, and bifurcations. These design metaphors are integrated into an element-based design to generate the time-varying vector fields via a sequence of basis field summations or spatial constrained optimizations at the sampled times. The key-frame design and field deformation are also introduced to support other user design scenarios. Accordingly, a spatial-temporal constrained optimization and the time-varying transformation are employed to generate the desired fields for these two design scenarios, respectively. We apply the time-varying vector fields generated using our design system to a number of important computer graphics applications that require controllable dynamic effects, such as evolving surface appearance, dynamic scene design, steerable crowd movement, and painterly animation. Many of these are difficult or impossible to achieve via prior simulation-based methods. In these applications, the time-varying vector fields have been applied as either orientation fields or advection fields to control the instantaneous appearance or evolving trajectories of the dynamic effects.

  16. Design of 2D Time-Varying Vector Fields

    KAUST Repository

    Chen, Guoning

    2012-10-01

    Design of time-varying vector fields, i.e., vector fields that can change over time, has a wide variety of important applications in computer graphics. Existing vector field design techniques do not address time-varying vector fields. In this paper, we present a framework for the design of time-varying vector fields, both for planar domains as well as manifold surfaces. Our system supports the creation and modification of various time-varying vector fields with desired spatial and temporal characteristics through several design metaphors, including streamlines, pathlines, singularity paths, and bifurcations. These design metaphors are integrated into an element-based design to generate the time-varying vector fields via a sequence of basis field summations or spatial constrained optimizations at the sampled times. The key-frame design and field deformation are also introduced to support other user design scenarios. Accordingly, a spatial-temporal constrained optimization and the time-varying transformation are employed to generate the desired fields for these two design scenarios, respectively. We apply the time-varying vector fields generated using our design system to a number of important computer graphics applications that require controllable dynamic effects, such as evolving surface appearance, dynamic scene design, steerable crowd movement, and painterly animation. Many of these are difficult or impossible to achieve via prior simulation-based methods. In these applications, the time-varying vector fields have been applied as either orientation fields or advection fields to control the instantaneous appearance or evolving trajectories of the dynamic effects. © 1995-2012 IEEE.

  17. Do Time-Varying Covariances, Volatility Comovement and Spillover Matter?

    OpenAIRE

    Lakshmi Balasubramanyan

    2005-01-01

    Financial markets and their respective assets are so intertwined; analyzing any single market in isolation ignores important information. We investigate whether time varying volatility comovement and spillover impact the true variance-covariance matrix under a time-varying correlation set up. Statistically significant volatility spillover and comovement between US, UK and Japan is found. To demonstrate the importance of modelling volatility comovement and spillover, we look at a simple portfo...

  18. Testing for time-varying loadings in dynamic factor models

    DEFF Research Database (Denmark)

    Mikkelsen, Jakob Guldbæk

    Abstract: In this paper we develop a test for time-varying factor loadings in factor models. The test is simple to compute and is constructed from estimated factors and residuals using the principal components estimator. The hypothesis is tested by regressing the squared residuals on the squared...... there is evidence of time-varying loadings on the risk factors underlying portfolio returns for around 80% of the portfolios....

  19. Pemodelan Markov Switching Dengan Time-varying Transition Probability

    OpenAIRE

    Savitri, Anggita Puri; Warsito, Budi; Rahmawati, Rita

    2016-01-01

    Exchange rate or currency is an economic variable which reflects country's state of economy. It fluctuates over time because of its ability to switch the condition or regime caused by economic and political factors. The changes in the exchange rate are depreciation and appreciation. Therefore, it could be modeled using Markov Switching with Time-Varying Transition Probability which observe the conditional changes and use information variable. From this model, time-varying transition probabili...

  20. The impact of ICT investment and energy price on industrial electricity demand: Dynamic growth model approach

    Energy Technology Data Exchange (ETDEWEB)

    Cho, Youngsang; Lee, Jongsu; Kim, Tai-Yoo [Technology Management, Economics and Policy Program, College of Engineering, Seoul National University, Shillim-Dong San56-1, Gwanak-Ku, Seoul 151-742 (Korea)

    2007-09-15

    The authors investigate the effects of information and communications technology (ICT) investment, electricity price, and oil price on the consumption of electricity in South Korea's industries using a logistic growth model. The concept electricity intensity is used to explain electricity consumption patterns. An empirical analysis implies that ICT investment in manufacturing industries that normally consume relatively large amounts of electricity promotes input factor substitution away from the labor intensive to the electricity intensive. Moreover, results also suggest that ICT investment in some specific manufacturing sectors is conducive to the reduction of electricity consumption, whereas ICT investment in the service sector and most manufacturing sectors increases electricity consumption. It is concluded that electricity prices critically affect electricity consumption in half of South Korea's industrial sectors, but not in the other half, a finding that differs somewhat from previous research results. Reasons are suggested to explain why the South Korean case is so different. Policymakers may find this study useful, as it answers the question of whether ICT investment can ultimately reduce energy consumption and may aid in planning the capacity of South Korea's national electric power. (author)

  1. The impact of ICT investment and energy price on industrial electricity demand: Dynamic growth model approach

    International Nuclear Information System (INIS)

    Cho, Youngsang; Lee, Jongsu; Kim, Tai-Yoo

    2007-01-01

    The authors investigate the effects of information and communications technology (ICT) investment, electricity price, and oil price on the consumption of electricity in South Korea's industries using a logistic growth model. The concept electricity intensity is used to explain electricity consumption patterns. An empirical analysis implies that ICT investment in manufacturing industries that normally consume relatively large amounts of electricity promotes input factor substitution away from the labor intensive to the electricity intensive. Moreover, results also suggest that ICT investment in some specific manufacturing sectors is conducive to the reduction of electricity consumption, whereas ICT investment in the service sector and most manufacturing sectors increases electricity consumption. It is concluded that electricity prices critically affect electricity consumption in half of South Korea's industrial sectors, but not in the other half, a finding that differs somewhat from previous research results. Reasons are suggested to explain why the South Korean case is so different. Policymakers may find this study useful, as it answers the question of whether ICT investment can ultimately reduce energy consumption and may aid in planning the capacity of South Korea's national electric power. (author)

  2. An estimation of U.S. gasoline demand. A smooth time-varying cointegration approach

    International Nuclear Information System (INIS)

    Park, Sung Y.; Zhao, Guochang

    2010-01-01

    In this paper the U.S. gasoline demand from 1976 to 2008 is estimated using a time-varying cointegrating regression. We find that price elasticity increased rapidly during the late 1970s and then decreased until 1987. After a relatively small-scaled 'increase-decrease' cycle from 1987 to 2000, the price elasticity rose again after 2000. The time-varying change of the elasticities may be explained by the proportion of gasoline consumption to income and fluctuation of the degree of necessity. The result of the error correction model shows that a deviation from a long-run equilibrium is corrected quickly, and the welfare analysis illustrates there may be a gain by shifting the tax scheme from income tax to gasoline tax. (author)

  3. An estimation of U.S. gasoline demand. A smooth time-varying cointegration approach

    Energy Technology Data Exchange (ETDEWEB)

    Park, Sung Y. [Department of Economics, University of Illinois, Urbana, IL 61801 (United States); The Wang Yanan Institute for Studies in Economics, Xiamen University, Xiamen, Fujian 361005 (China); Zhao, Guochang [Research School of Economics, College of Business and Economics, The Australian National University, Canberra, ACT 2601 (Australia)

    2010-01-15

    In this paper the U.S. gasoline demand from 1976 to 2008 is estimated using a time-varying cointegrating regression. We find that price elasticity increased rapidly during the late 1970s and then decreased until 1987. After a relatively small-scaled 'increase-decrease' cycle from 1987 to 2000, the price elasticity rose again after 2000. The time-varying change of the elasticities may be explained by the proportion of gasoline consumption to income and fluctuation of the degree of necessity. The result of the error correction model shows that a deviation from a long-run equilibrium is corrected quickly, and the welfare analysis illustrates there may be a gain by shifting the tax scheme from income tax to gasoline tax. (author)

  4. Price-based control of electrical power systems

    NARCIS (Netherlands)

    Jokic, A.; Lazar, M.; Bosch, van den P.P.J.; Negenborn, R.R.; Lukszo, Z.; Hellendorn, H.

    2010-01-01

    In this chapter we present the price-based control as a suitable approach to solve some of the challenging problems facing future, market-based power sys tems. On the example of economically optimal power balance and transmission network congestion control, we present how global objectives and

  5. The impact of renewable energy on electricity prices in the Netherlands

    NARCIS (Netherlands)

    Mulder, Machiel; Scholtens, Bert

    Electricity markets may become more sensitive to weather conditions because of a higher penetration of renewable energy sources and climatic changes. We investigate whether weather conditions had a growing influence on the average daily day-ahead price in the Dutch electricity market in the period

  6. The impact of the development of external markets for electricity on the domestic price in Quebec

    International Nuclear Information System (INIS)

    St-Amour, Y.

    1990-03-01

    A study was conducted to establish the sensitivity of the average price of electricity in the domestic Quebec market with respect to the volume of electricity exported. Economic data are presented on electricity in relation to other forms of energy in the northwest North American continental framework. The state of electricity exports and the hydroelectric potential of Quebec with respect to the capacity of neighboring networks to utilize this potential are discussed. CANREM (Canadian Regionalized Electricity Model) is described and used to simulate the effect of electric power exports on the Quebec electricity price over a 23-year period starting in 1987. Three simulation scenarios are presented and analyzed. The results obtained indicate a significant increase in the domestic price during the time that generation and transmission installation is being carried out. In contrast, during the years when service is offered, the slowing of the increase in the price of electricity is the determining factor with regard to the net social gain which can be achieved over the long term for Quebec society. 75 refs., 10 figs., 18 tabs

  7. Peak reduction in decentralised electricity systems : Markets and prices for flexible planning

    NARCIS (Netherlands)

    Höning, N.F.

    2016-01-01

    In contemporary societies, industrial processes as well as domestic activities rely to a large degree on a well-functioning electricity system. This reliance exists both structurally (the system should always be available) and economically (the prices for electricity affect the costs of operating a

  8. Electricity price forecast using Combinatorial Neural Network trained by a new stochastic search method

    International Nuclear Information System (INIS)

    Abedinia, O.; Amjady, N.; Shafie-khah, M.; Catalão, J.P.S.

    2015-01-01

    Highlights: • Presenting a Combinatorial Neural Network. • Suggesting a new stochastic search method. • Adapting the suggested method as a training mechanism. • Proposing a new forecast strategy. • Testing the proposed strategy on real-world electricity markets. - Abstract: Electricity price forecast is key information for successful operation of electricity market participants. However, the time series of electricity price has nonlinear, non-stationary and volatile behaviour and so its forecast method should have high learning capability to extract the complex input/output mapping function of electricity price. In this paper, a Combinatorial Neural Network (CNN) based forecasting engine is proposed to predict the future values of price data. The CNN-based forecasting engine is equipped with a new training mechanism for optimizing the weights of the CNN. This training mechanism is based on an efficient stochastic search method, which is a modified version of chemical reaction optimization algorithm, giving high learning ability to the CNN. The proposed price forecast strategy is tested on the real-world electricity markets of Pennsylvania–New Jersey–Maryland (PJM) and mainland Spain and its obtained results are extensively compared with the results obtained from several other forecast methods. These comparisons illustrate effectiveness of the proposed strategy.

  9. Transmission prices in the electric system. Technical constraints and economic efficiency

    International Nuclear Information System (INIS)

    Polidori, P.

    1999-01-01

    This article analyses the two main models at the core of today's theoretical discussion on transmission pricing in electricity sectors under competition. The first aim of the paper is showing how technical constraints that characterise transmission systems may affect energy production and transmission and therefore the definition of the price system for using the electric grid. The second aim of the paper is showing how it is possible to suggest solutions, although not free from limitations, that can be used for an efficient management of electric systems characterised by generation and consumption sectors under competition [it

  10. Competitive electricity markets around the world: approaches to price risk management

    International Nuclear Information System (INIS)

    Masson, G.S.

    1999-01-01

    This chapter focuses on wholesale electricity markets, and traces the histories of the US and UK power industries. Risk management in the new electricity market is examined covering price risk, location basis risk, volume risk, and margin and cross-commodity risk. Specific competitive market systems that have been implemented around the world including mandatory pools, voluntary pools, and bilateral markets are discussed. Panels describing the functions of ancillary services, electricity price volatility, and the problems of capacity payments and the UK pool are presented

  11. Price Signals from Electricity Markets and Subsidy Schemes for Renewable Sources

    International Nuclear Information System (INIS)

    Sabolic, D.

    2013-01-01

    Increasing share of renewable generation itself gives rise to price risks on the electricity markets. Subsidy schemes, in general, additionally distort price signals produced by economic mechanisms of otherwise free markets. In the electricity industry, subsidy schemes, once designed merely to incentivize electricity system decarbonization in its kick-off phase, seem to have grown to such a volume, that they, too, started to profoundly interfere with the whole market structure, and to distort price signals that used to govern long-term development of an adequately structured generation system. This article was made as an attempt to discuss contemporary electricity system policies in relation to RES integration. The economic relations in the sector are growingly influenced, or sometimes even hard-handedly guided, by political institutions, rather than by economic interests of the investors, which may in turn cause considerable problems in achieving ultimate policy goals due to unsustainability of such an economic arrangement.(author)

  12. Optimal operation strategies of compressed air energy storage (CAES) on electricity spot markets with fluctuating prices

    DEFF Research Database (Denmark)

    Lund, Henrik; Salgi, Georges; Elmegaard, Brian

    2009-01-01

    on electricity spot markets by storing energy when electricity prices are low and producing electricity when prices are high. In order to make a profit on such markets, CAES plant operators have to identify proper strategies to decide when to sell and when to buy electricity. This paper describes three...... plants will not be able to achieve such optimal operation, since the fluctuations of spot market prices in the coming hours and days are not known. Consequently, two simple practical strategies have been identified and compared to the results of the optimal strategy. This comparison shows that...... independent computer-based methodologies which may be used for identifying the optimal operation strategy for a given CAES plant, on a given spot market and in a given year. The optimal strategy is identified as the one which provides the best business-economic net earnings for the plant. In practice, CAES...

  13. The impact of Australian ETS news on wholesale spot electricity prices. An exploratory analysis

    International Nuclear Information System (INIS)

    Chevallier, Julien

    2010-01-01

    This article investigates the impact of news concerning the development of emissions trading in Australia (such as the Carbon Pollution Reduction Scheme (CPRS)) on wholesale electricity spot prices, by using a database of 117 news announcements from December 1, 1998 to July 1, 2009. As power producers constitute the bulk of the participants of the proposed Australian emissions trading scheme, regulatory changes (about allocation, banking, coverage, targets) are indeed likely to affect the five interconnected electricity markets in New South Wales, Queensland, South Australia, Victoria, and Tasmania. We assess these effects with an ARMA(1,1)-GARCH(1,1) model, where daily electricity spot prices are regressed against exogenous variables in the mean and variance equations. This article constitutes the first empirical analysis of Australian ETS news effects on electricity wholesale spot prices. Our results show two asymmetric types of news effects, depending on their information content. (author)

  14. The impact of Australian ETS news on wholesale spot electricity prices. An exploratory analysis

    Energy Technology Data Exchange (ETDEWEB)

    Chevallier, Julien [Universite Paris Dauphine, Place du Marechal de Lattre de Tassigny, 75775 Paris Cedex 16 (France)

    2010-08-15

    This article investigates the impact of news concerning the development of emissions trading in Australia (such as the Carbon Pollution Reduction Scheme (CPRS)) on wholesale electricity spot prices, by using a database of 117 news announcements from December 1, 1998 to July 1, 2009. As power producers constitute the bulk of the participants of the proposed Australian emissions trading scheme, regulatory changes (about allocation, banking, coverage, targets) are indeed likely to affect the five interconnected electricity markets in New South Wales, Queensland, South Australia, Victoria, and Tasmania. We assess these effects with an ARMA(1,1)-GARCH(1,1) model, where daily electricity spot prices are regressed against exogenous variables in the mean and variance equations. This article constitutes the first empirical analysis of Australian ETS news effects on electricity wholesale spot prices. Our results show two asymmetric types of news effects, depending on their information content. (author)

  15. The impact of Australian ETS news on wholesale spot electricity prices: An exploratory analysis

    Energy Technology Data Exchange (ETDEWEB)

    Chevallier, Julien, E-mail: julien.chevallier@dauphine.f [Universite Paris Dauphine, Place du Marechal de Lattre de Tassigny, 75775 Paris Cedex 16 (France)

    2010-08-15

    This article investigates the impact of news concerning the development of emissions trading in Australia (such as the Carbon Pollution Reduction Scheme (CPRS)) on wholesale electricity spot prices, by using a database of 117 news announcements from December 1, 1998 to July 1, 2009. As power producers constitute the bulk of the participants of the proposed Australian emissions trading scheme, regulatory changes (about allocation, banking, coverage, targets) are indeed likely to affect the five interconnected electricity markets in New South Wales, Queensland, South Australia, Victoria, and Tasmania. We assess these effects with an ARMA(1,1)-GARCH(1,1) model, where daily electricity spot prices are regressed against exogenous variables in the mean and variance equations. This article constitutes the first empirical analysis of Australian ETS news effects on electricity wholesale spot prices. Our results show two asymmetric types of news effects, depending on their information content.

  16. Response of residential electricity demand to price: The effect of measurement error

    International Nuclear Information System (INIS)

    Alberini, Anna; Filippini, Massimo

    2011-01-01

    In this paper we present an empirical analysis of the residential demand for electricity using annual aggregate data at the state level for 48 US states from 1995 to 2007. Earlier literature has examined residential energy consumption at the state level using annual or monthly data, focusing on the variation in price elasticities of demand across states or regions, but has failed to recognize or address two major issues. The first is that, when fitting dynamic panel models, the lagged consumption term in the right-hand side of the demand equation is endogenous. This has resulted in potentially inconsistent estimates of the long-run price elasticity of demand. The second is that energy price is likely mismeasured. To address these issues, we estimate a dynamic partial adjustment model using the Kiviet corrected Least Square Dummy Variables (LSDV) (1995) and the Blundell-Bond (1998) estimators. We find that the long-term elasticities produced by the Blundell-Bond system GMM methods are largest, and that from the bias-corrected LSDV are greater than that from the conventional LSDV. From an energy policy point of view, the results obtained using the Blundell-Bond estimator where we instrument for price imply that a carbon tax or other price-based policy may be effective in discouraging residential electricity consumption and hence curbing greenhouse gas emissions in an electricity system mainly based on coal and gas power plants. - Research Highlights: → Updated information on price elasticities for the US energy policy. → Taking into account measurement error in the price variable increase price elasticity. → Room for discouraging residential electricity consumption using price increases.

  17. Response of residential electricity demand to price: The effect of measurement error

    Energy Technology Data Exchange (ETDEWEB)

    Alberini, Anna [Department of Agricultural Economics, University of Maryland (United States); Centre for Energy Policy and Economics (CEPE), ETH Zurich (Switzerland); Gibson Institute and Institute for a Sustainable World, School of Biological Sciences, Queen' s University Belfast, Northern Ireland (United Kingdom); Filippini, Massimo, E-mail: mfilippini@ethz.ch [Centre for Energy Policy and Economics (CEPE), ETH Zurich (Switzerland); Department of Economics, University of Lugano (Switzerland)

    2011-09-15

    In this paper we present an empirical analysis of the residential demand for electricity using annual aggregate data at the state level for 48 US states from 1995 to 2007. Earlier literature has examined residential energy consumption at the state level using annual or monthly data, focusing on the variation in price elasticities of demand across states or regions, but has failed to recognize or address two major issues. The first is that, when fitting dynamic panel models, the lagged consumption term in the right-hand side of the demand equation is endogenous. This has resulted in potentially inconsistent estimates of the long-run price elasticity of demand. The second is that energy price is likely mismeasured. To address these issues, we estimate a dynamic partial adjustment model using the Kiviet corrected Least Square Dummy Variables (LSDV) (1995) and the Blundell-Bond (1998) estimators. We find that the long-term elasticities produced by the Blundell-Bond system GMM methods are largest, and that from the bias-corrected LSDV are greater than that from the conventional LSDV. From an energy policy point of view, the results obtained using the Blundell-Bond estimator where we instrument for price imply that a carbon tax or other price-based policy may be effective in discouraging residential electricity consumption and hence curbing greenhouse gas emissions in an electricity system mainly based on coal and gas power plants. - Research Highlights: > Updated information on price elasticities for the US energy policy. > Taking into account measurement error in the price variable increase price elasticity. > Room for discouraging residential electricity consumption using price increases.

  18. Do producers apply a capacity cutting strategy to increase prices? The case of the England and Wales electricity market

    Czech Academy of Sciences Publication Activity Database

    Lízal, L. M.; Tashpulatov, Sherzod N.

    2014-01-01

    Roč. 43, May (2014), s. 114-124 ISSN 0140-9883 Institutional support: PRVOUK-P23 Keywords : capacity bids * electricity prices * uniform price auction Subject RIV: AH - Economics Impact factor: 2.708, year: 2014

  19. Do producers apply a capacity cutting strategy to increase prices? The case of the England and Wales electricity market

    Czech Academy of Sciences Publication Activity Database

    Lízal, L. M.; Tashpulatov, Sherzod N.

    2014-01-01

    Roč. 43, May (2014), s. 114-124 ISSN 0140-9883 Institutional support: RVO:67985998 Keywords : capacity bids * electricity prices * uniform price auction Subject RIV: AH - Economics Impact factor: 2.708, year: 2014

  20. The case for indexed price caps for U.S. electric utilities

    International Nuclear Information System (INIS)

    Lowry, M.N.

    1991-01-01

    Indexed price caps are a promising alternative to traditional, cost-of-service utility rate regulation. In just a decade, they have sprung from the drawing boards of economists to use by major utilities in a number of industries. Several authors have discussed the merits of indexed price caps for U.S. electric utilities. Despite their efforts, many parties to electric utility policy making are unfamiliar with the subject. This is unsurprising given the policy controversies that already embroil the industry. It is also unfortunate, since indexed price caps may help solve some of the problems that prompt these controversies. Indexed price caps can improve electric utility rate regulation in two ways. Utilities would have strong incentives to improve performance without the micromanagement that increasingly characterizes state-level regulation. Utilities could also be granted more extensive marketing freedoms, since indexes can protect customers from cross-subsidization. Two areas of concern about indexed price cap plans have emerged in recent discussions that the author has held with officials of electric utilities, intervenor groups, and regulatory agencies. Officials are often unclear on plan details, and therefore may not appreciate the degree of flexibility that is possible in plan design. Confusion over the available options in price cap adjustment indexes and the logic behind them is especially widespread. Officials also desire a clearer expression of how indexed price caps can coexist with current regulatory initiatives. This article details the major attributes of index plans, provides a brief history of indexing, discusses index design options in depth, and concludes with a vision of how indexed price caps can be made operational in today's electric utility industry

  1. Simultaneous day-ahead forecasting of electricity price and load in smart grids

    International Nuclear Information System (INIS)

    Shayeghi, H.; Ghasemi, A.; Moradzadeh, M.; Nooshyar, M.

    2015-01-01

    Highlights: • This paper presents a novel MIMO-based support vector machine for forecasting. • Considered uncertainties for better simulation for filtering in input data. • Used LSSVM technique for learning. • Proposed a new modification for standard artificial bee colony algorithm to optimize LSSVM engine. - Abstract: In smart grids, customers are promoted to change their energy consumption patterns by electricity prices. In fact, in this environment, the electricity price and load consumption are highly corrected such that the market participants will have complex model in their decisions to maximize their profit. Although the available forecasting mythologies perform well in electricity market by way of little or no load and price interdependencies, but cannot capture load and price dynamics if they exist. To overcome this shortage, a Multi-Input Multi-Output (MIMO) model is presented which can consider the correlation between electricity price and load. The proposed model consists of three components known as a Wavelet Packet Transform (WPT) to make valuable subsets, Generalized Mutual Information (GMI) to select best input candidate and Least Squares Support Vector Machine (LSSVM) based on MIMO model, called LSSVM-MIMO, to make simultaneous load and price forecasts. Moreover, the LSSVM-MIMO parameters are optimized by a novel Quasi-Oppositional Artificial Bee Colony (QOABC) algorithm. Some forecasting indices based on error factor are considered to evaluate the forecasting accuracy. Simulations carried out on New York Independent System Operator, New South Wales (NSW) and PJM electricity markets data, and showing that the proposed hybrid algorithm has good potential for simultaneous forecasting of electricity price and load

  2. Tax shift : eliminating subsidies and moving to full cost electricity pricing

    International Nuclear Information System (INIS)

    Gibbons, J.

    2008-01-01

    In order to ensure that Ontario's service needs are met at the lowest possible total cost, energy conservation and small-scale distributed generation options must be able to compete with large scale-centralized generation and transmission options on a level playing field. This report discussed how electricity is priced in Ontario. The report described the policies that subsidize coal and nuclear generation and promote excessive consumption of grid-supplied electricity. The report also presented an analysis of the impact of these subsidies and policies on Ontario's electricity consumption, electricity productivity, standard of living and air pollutant emissions. It described a practical strategy whereby these subsidies can be eliminated by recycling or shifting the monies currently spent on subsidies in a way that creates an incentive to reduce electricity consumption. It also described how full cost pricing could lead to a net financial benefit for residential customers as well as an adaptation strategy for businesses that would ensure that they remain competitive. Finally the report identified ten major subsidies that artificially reduce the cost of electricity in Ontario. These included below-market water royalty rates; corporate income tax revenue subsidy for nuclear debt; sales tax exemption; average cost pricing; and bulk metering. It was concluded that phasing out the subsidies for grid-supplied electricity and moving to full cost pricing will provide multiple benefits for Ontario. 36 refs., 5 tabs., 5 figs

  3. EU emission trading scheme and the effect on the price of electricity

    International Nuclear Information System (INIS)

    2004-01-01

    The Electricity Market Working Group and the Climate Change Policy Working Group of the Nordic Council of Ministers, has commissioned ECON Analysis to prepare this report. The report analyses the demand and supply of GHG emission allowances and the price of emission allowances for the period 2005-2007 and 2008-2012 and the effect on the electricity price in the Nordic electricity market. The demand for emissions allowances has then been estimated for different scenarios, with different assumption on burden sharing between sectors and international participation and the supply of emission allowances is determined by the marginal abatement costs. Based on available information on abatement costs the supply of allowances is then estimated. The market balance between the demand and supply for allowances then determines the price of emission allowances. The effect on the electricity price is simulated with ECON's model for the Nordic power market to quantitatively estimate the effect from emissions trading on the electricity price, production, consumption, trade, etc. (BA)

  4. When should green technology support policies supplement the carbon price? The case of the electricity sector

    International Nuclear Information System (INIS)

    Lecuyer, Oskar

    2013-01-01

    This thesis contributes to the literature on optimal policy choice. It studies the use of policy combinations to mitigate greenhouse gases emissions from electricity production. One finding applies to cases where uncertainty is such that the risk of a nil carbon price cannot be excluded. A cap on emissions alone may then not trigger enough abatements, justifying the addition of e.g. a renewable subsidy. When considering a transition toward a carbon free electricity sector, capital accumulation causes complex dynamic effects to happen. We find that decisions taken by comparing the leveled costs of abatement technologies, even including carbon costs, would favor intermediate technologies (e.g. gas plants) to the detriment of more-expensive but lower-carbon technologies (renewable power), leading to a suboptimal investment schedule. This thesis also studies the effects of marginal policy changes in a mix comprising the main French instruments. We find that surprisingly, adding a tariff for renewables financed by a tax on electricity consumption to a cap on emissions and a subsidy for energy efficiency will reduce the consumer electricity price when the non-renewable production is fixed and does not depend on the carbon price. The assessment of the French climate policies in the electricity sector shows that overlapping policies for mitigation may be justified by multiple carbon price failures, even if the ideal long-term policy mix depends on the carbon price trajectory. (author)

  5. Formation and forecast of the daily price of the electric power in the chain Nare-Guatape-San Carlos

    International Nuclear Information System (INIS)

    Romero, Alejandro; Carvajal, Luis

    2003-01-01

    This work shows three different methodologies for the understanding and forecast of the electric energy prices in the chain Nare - Guatape - San Carlos: lineal multivariate model, autoregressive deterministic model and Fourier series decomposition. The electric energy price depends basically of the reservoir level and river flow, not only its own but the reservoir down and up, waters. About prices forecast, they can be modeled with an autoregressive process. Prices forecast follows the tendency and captures with acceptable precision the maximum prices due especially to the low hydrology and price variability for daily and weekly regulation reservoirs

  6. Simulation of current pricing-tendencies in the German electricity market for private consumption

    International Nuclear Information System (INIS)

    Mueller, Moritz; Sensfuss, Frank; Wietschel, Martin

    2007-01-01

    The German electricity market for private consumption is characterized by increasing prices and low participation of the consumers. This prompts us to investigate the interdependencies between the customers' engagement in the market and the suppliers' pricing strategies. Based on an analysis of the German retail market, an agent-based simulation model is developed. Whereas the behaviour of private customers is calibrated on field data, the suppliers learn to maximize profits with a feedback-learning heuristic. The simulation results show a tendency of rising prices, which are created without the assumption of tacit collusion among suppliers. We conclude that in Germany the current market pressure of private customers may not be a sufficient incentive for suppliers to lower electricity prices. (author)

  7. Directional Congestion and Regime Switching in a Long Memory Model for Electricity Prices

    DEFF Research Database (Denmark)

    Haldrup, Niels; Nielsen, Morten Ø.

    The functioning of electricity markets has experienced increasing complexityas a result of deregulation in recent years. Consequently this affects the multilateral price behaviour across regions with physical exchange of power. It has been documented elsewhere that features such aslong memory...... and regime switching reflecting congestion and non-congestion periods are empirically relevant and hence are features that need to be taken into account when modeling price behavior. In the present paper we further elaborate on the co-existence of long memory and regime switches by focusing on the effect...... that the direction of possible congestion episodes has on the price dynamics. Under non-congestion prices are identical. The direction of possible congestion is identified by the region with excess demand of power through the sign of price differences and hence three different states can be considered: Non...

  8. Price formation and market power in the German wholesale electricity market in 2006

    International Nuclear Information System (INIS)

    Weigt, Hannes; Hirschhausen, Christian von

    2008-01-01

    From 2002 to 2006, German wholesale electricity prices more than doubled. The purpose of this paper is to estimate the price components in 2006 in order to identify the factors responsible for the increase. We develop a competitive benchmark model, taking into account power plant characteristics, fuel and CO 2 -allowance prices, wind generation, cross-border flows, unit commitment, and startup conditions, to estimate the difference between generation costs and observed market prices for every hour in 2006. We find that prices at the German wholesale market (European Energy Exchange - EEX) are above competitive levels for a large fraction of the observations. We verify the robustness of the results by carrying out sensitivity analyses. We also address the issue of revenue adequacy. (author)

  9. The long-run equilibrium impact of intermittent renewables on wholesale electricity prices

    OpenAIRE

    Newbery, D.

    2016-01-01

    High levels of low variable cost intermittent renewables lower wholesale electricity prices, and the depression of these prices could legitimately be recovered from consumers, preferably through capacity payments. Given that renewables are frequently subsidized for their learning benefits and carbon reduction, this paper asks what part of these subsidies should be recovered from final consumers. In long-run equilibrium, renewables have no impact on the number of hours peaking capacity runs, a...

  10. Day-ahead electricity price forecasting using wavelet transform combined with ARIMA and GARCH models

    International Nuclear Information System (INIS)

    Tan, Zhongfu; Zhang, Jinliang; Xu, Jun; Wang, Jianhui

    2010-01-01

    This paper proposes a novel price forecasting method based on wavelet transform combined with ARIMA and GARCH models. By wavelet transform, the historical price series is decomposed and reconstructed into one approximation series and some detail series. Then each subseries can be separately predicted by a suitable time series model. The final forecast is obtained by composing the forecasted results of each subseries. This proposed method is examined on Spanish and PJM electricity markets and compared with some other forecasting methods. (author)

  11. Demonstration of Market-Based Real-Time Electricity Pricing on a Congested Feeder

    DEFF Research Database (Denmark)

    Larsen, Emil Mahler; Pinson, Pierre; le Ray, Guillaume

    2015-01-01

    Congestion management can delay grid reinforcements needed due to the growth of distributed technologies like photovoltaics and electric vehicles. This paper presents a method of congestion management for low voltage feeders using indirect control from the smart grid demonstration EcoGrid EU, where...... prices to 1900 houses, with a virtual feeder of 28 houses receiving congestion pricing. Simulations are used to calculate the cost from using this congestion management method, while demonstration results indicate that congestion can be managed successfully....

  12. Riding the Electricity Market as an Energy Management Strategy: Savings from Real-Time Pricing

    Energy Technology Data Exchange (ETDEWEB)

    Chiles, Thomas [U.S. General Services Administration, Washington, D.C. (United States); Shutika, Kenneth [U.S. General Services Administration, Washington, D.C. (United States); Coleman, Philip [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)

    2018-03-13

    Dynamic pricing of electricity, in which retail prices facing customers are responsive to changes in the underlying wholesale markets, represents a step towards economic efficiency in that customers get exposed to some or all of the costs facing wholesale market players. But what do customers who opt for this greater exposure – available in the roughly 15 “de-regulated” states, as well as, to some extent, from some regulated utilities – get in return for their risks? The U.S. General Services Administration (GSA) took a retrospective eight-year look at what the savings would have been had they let the loads for which they purchase electricity in the Washington, DC area buy electricity on the real-time pricing (RTP) market – the dynamic pricing option with the highest risk – as opposed to the strategy they chose in actuality, which was fixing flat prices with 3rd-party providers. We found that opting for RTP for the eight years of the study (2005 through 2012) would have resulted in 17% savings, or almost a quarter of a billion dollars, relative to GSA’s actual prices from the 3rd-party suppliers. This is particularly astonishing given that GSA appeared to have timed the market well during the study period, consistently beating the standard offer products provided by the distribution utilities. The issue of budgetary predictability poses an obstacle for customers (especially government ones) considering RTP and, to a lesser extent, other dynamic pricing options. Indeed, GSA would have lost money with RTP in two of the eight years, one of them substantially. But the magnitude of the savings is indisputably compelling and, even if it may be somewhat aberrational due to high congestion in the DC market, begs consideration by large electricity users currently paying to “lock in” fixed flat prices.

  13. Forward and Spot Prices in Multi-Settlement Wholesale Electricity Markets

    Science.gov (United States)

    Larrieu, Jeremy

    In organized wholesale electricity markets, power is sold competitively in a multi-unit multi-settlement single-price auction comprised of a forward and a spot market. This dissertation attempts to understand the structure of the forward premium in these markets, and to identify the factors that may lead forward and spot prices to converge or diverge. These markets are unique in that the forward demand is price-sensitive, while spot residual demand is perfectly inelastic and must be met in full, a crucial design feature the literature often glosses over. An important contribution of this dissertation is the explicit modeling of each market separately in order to understand how generation and load choose to act in each one, and the consequences of these actions on equilibrium prices and quantities given that firms maximize joint profits over both markets. In the first essay, I construct a two-settlement model of electricity prices in which firms that own asymmetric capacity-constrained units facing convex costs compete to meet demand from consumers, first in quantities, then in prices. I show that the forward premium depends on the costliness of spot production relative to firms' ability to exercise market power by setting quantities in the forward market. In the second essay, I test the model from the first essay with unit-level capacity and marginal cost data from the California Independent System Operator (CAISO). I show that the model closely replicates observed price formation in the CAISO. In the third essay, I estimate a time series model of the CAISO forward premium in order to measure the impact that virtual bidding has had on forward and spot price convergence in California between April 2009 and March 2014. I find virtual bidding to have caused forward and spot prices to diverge due to the large number of market participants looking to hedge against - or speculate on - the occurrence of infrequent but large spot price spikes by placing virtual demand bids.

  14. A dispatch based pricing model for the New Zealand electricity market

    International Nuclear Information System (INIS)

    Ring, B.J.; Read, E.G.

    1996-01-01

    Work undertaken for the New Zealand transmission grid is described. Prices derived from an observed system dispatch can be used in the short-run coordination of a competitive wholesale electricity market. These prices vary across space and time, reflecting differences in marginal costs and changing demand. Markets for emergency reserve generating capacity can be integrated with a market for power. Used in conjunction with longer term contracts, such short-run prices have the potential to allow competitive power system operation without significant loss of coordination efficiencies. 2 figs., 26 refs

  15. Analysis of the imbalance price scheme in the Spanish electricity market: A wind power test case

    International Nuclear Information System (INIS)

    Bueno-Lorenzo, Miriam; Moreno, M. Ángeles; Usaola, Julio

    2013-01-01

    This work investigates the interaction between wind power and electricity markets. The paper is focused on balancing markets pricing policies. The proposal of a new imbalance price scheme is included and conveniently evaluated. This proposed scheme tries to minimise the use of ancillary services to compensate for deviations in searching for a more efficient market design. The effectiveness of imbalance prices as market signals is also examined, and policy recommendations regarding imbalance services are discussed. Two test cases are included that analyse the participation of a wind power producer in the Spanish electricity market using a stochastic optimisation strategy. For this purpose, the uncertainty of the variables is considered, i.e., wind power production and prediction, intraday and imbalance prices. Test cases were run with real data for 10 months, and realistic results are presented along with a hypothetical test case. The regulation of the imbalance prices may not be adequate for the Spanish electricity market because an error drop is not sufficiently encouraged. Therefore, we suggest the application of a new imbalance price scheme, which includes an additional constraint. The conclusions of this paper can be assumed to be general policy recommendations

  16. Is Power Production Flexibility a Substitute for Storability? Evidence from Electricity Futures Prices

    Energy Technology Data Exchange (ETDEWEB)

    Kilic, M.; Huisman, R. [Erasmus School of Economics, Erasmus University Rotterdam, Rotterdam (Netherlands)

    2010-07-15

    Electricity is not storable. As a consequence, electricity demand and supply need to be in balance at any moment in time as a shortage in production volume cannot be compensated with supply from inventories. However, if the installed power supply capacity is very flexible, variation in demand can be counterbalanced with flexible adjustment of production volumes. Therefore, supply flexibility can replace the role of inventory. In this paper, we question whether power production flexibility is a substitute for storability. To do so, we examine power futures prices from countries that differ in their power supply and test whether power futures prices contain information about expected future spot prices and risk premiums and examine whether futures prices from a market in which power supply is more flexible would lead to futures prices that are more in line with the theory of storage. We find the opposite; futures prices from markets with flexible power supply behave according to the expectations theory. The implicit view from futures prices is that flexibility is not a substitute for storability.

  17. Price Forecasting of Electricity Markets in the Presence of a High Penetration of Wind Power Generators

    Directory of Open Access Journals (Sweden)

    Saber Talari

    2017-11-01

    Full Text Available Price forecasting plays a vital role in the day-ahead markets. Once sellers and buyers access an accurate price forecasting, managing the economic risk can be conducted appropriately through offering or bidding suitable prices. In networks with high wind power penetration, the electricity price is influenced by wind energy; therefore, price forecasting can be more complicated. This paper proposes a novel hybrid approach for price forecasting of day-ahead markets, with high penetration of wind generators based on Wavelet transform, bivariate Auto-Regressive Integrated Moving Average (ARIMA method and Radial Basis Function Neural Network (RBFN. To this end, a weighted time series for wind dominated power systems is calculated and added to a bivariate ARIMA model along with the price time series. Moreover, RBFN is applied as a tool to correct the estimation error, and particle swarm optimization (PSO is used to optimize the structure and adapt the RBFN to the particular training set. This method is evaluated on the Spanish electricity market, which shows the efficiency of this approach. This method has less error compared with other methods especially when it considers the effects of large-scale wind generators.

  18. Is Power Production Flexibility a Substitute for Storability? Evidence from Electricity Futures Prices

    International Nuclear Information System (INIS)

    Kilic, M.; Huisman, R.

    2010-07-01

    Electricity is not storable. As a consequence, electricity demand and supply need to be in balance at any moment in time as a shortage in production volume cannot be compensated with supply from inventories. However, if the installed power supply capacity is very flexible, variation in demand can be counterbalanced with flexible adjustment of production volumes. Therefore, supply flexibility can replace the role of inventory. In this paper, we question whether power production flexibility is a substitute for storability. To do so, we examine power futures prices from countries that differ in their power supply and test whether power futures prices contain information about expected future spot prices and risk premiums and examine whether futures prices from a market in which power supply is more flexible would lead to futures prices that are more in line with the theory of storage. We find the opposite; futures prices from markets with flexible power supply behave according to the expectations theory. The implicit view from futures prices is that flexibility is not a substitute for storability.

  19. Real-time electricity pricing in a deregulated environment using artificial intelligence

    Energy Technology Data Exchange (ETDEWEB)

    Dondo, M.G.

    1998-12-31

    The challenge of implementing real-time pricing of electricity was discussed. Several electric utilities want to incorporate real-time pricing into their rate policies. Conventional programming methods are not fast enough to process and distribute information in real time. Therefore, a new method that would match the current advances in communication speeds is needed. Also, conventional programming methods do not incorporate the uncertainties that are inherent in the lives of humans. Therefore, it is necessary to incorporate this fuzziness into the model. This study showed that the elements of speed and uncertainties can be readily incorporated into the determination of spot-pricing based electricity rates. A unique computational intelligence model was designed which consists of a feedforward neural network based on back-propagation training and a fuzzy logic model. The work has been demonstrated on the IEEE test systems and the Nova Scotia Power Corporation`s system.

  20. Advances in electric power and energy systems load and price forecasting

    CERN Document Server

    2017-01-01

    A comprehensive review of state-of-the-art approaches to power systems forecasting from the most respected names in the field, internationally. Advances in Electric Power and Energy Systems is the first book devoted exclusively to a subject of increasing urgency to power systems planning and operations. Written for practicing engineers, researchers, and post-grads concerned with power systems planning and forecasting, this book brings together contributions from many of the world’s foremost names in the field who address a range of critical issues, from forecasting power system load to power system pricing to post-storm service restoration times, river flow forecasting, and more. In a time of ever-increasing energy demands, mounting concerns over the environmental impacts of power generation, and the emergence of new, smart-grid technologies, electricity price forecasting has assumed a prominent role within both the academic and industrial ar nas. Short-run forecasting of electricity prices has become nece...

  1. Electricity to natural gas competition under customer-side technological change: a marginal cost pricing analysis

    International Nuclear Information System (INIS)

    Gulli', Francesco

    2004-01-01

    This paper aims at evaluating the impact of technological change (on the customer side of the meter) on the network energy industry (electricity and natural gas). The performances of the small gas fired power technologies and the electrical reversible heat pumps have improved remarkably over the last ten years, making possible (or more viable) two opposite technological trajectories: the fully gas-based system, based on the use of small CHP (combined heat and power generation) plants, which would involve a wide decentralisation of energy supply; the fully electric-based system, based on the use of reversible electric heat pumps, which would imply increasing centralisation of energy supply. The analysis described in this paper attempts to evaluate how these two kinds of technological solutions can impact on inter-service competition when input prices are ste equals to marginal costs of supply in each stage of the electricity and natural gas industries. For this purpose, unbundled prices over time and over space are simulated. In particular the paper shows that unbundling prices over space in not very important in affecting electricity to natural gas competition and that, when prices are set equal to long-run marginal costs, the fully electric-based solution (the reversible heat pump) is by far preferable to the fully gas-based solution (the CHP gas fired small power plant). In consequence, the first best outcome of the technological change would involve increasing large power generation and imported (from the utility grid) electricity consumption. Given this framework, we have to ask ourselves why operators, regulators and legislators are so optimistic about the development of the fully gas-based solutions. In this respect, the paper suggests that market distortions (such as market power, energy taxation and inefficient pricing regulation) might have give an ambiguous representation of the optimal technological trajectory, inducing to overestimate the social value

  2. Price sensitive electric power consumption in households. Final report; Prisfoelsomt elforbrug i husholdninger. Slutrapport

    Energy Technology Data Exchange (ETDEWEB)

    Togeby, M.; Hay, C. (Ea Energianalyse A/S, Copenhagen (Denmark))

    2009-08-15

    To gain experience with electric power consumption in households based on demand response a demonstration project was carried out for households with electric heating. More than 500 households with high power consumption (over 15,000 kWh / yr) participated. Participating households were divided into four groups: 1) a group with automation equipment ('Devi') installed, which automatically controls the electric heating in relation to electricity price signals based on pre-defined standards, 2) a group with electronics equipment ('Electronic House Keeper') installed which can show price signals so that the participant himself can control the electric heating in relation thereto, 3) a group who daily received an e-mail or a text message indicating the fluctuations in electricity prices, so that the participant can control the electric heating in relation to the received information, 4) a control group who did not have knowledge of or participated in the experiment. The main results of the project are that consumption must be controlled through automation. A real impact of the experiment can only be seen for the Devi group, which had automation equipment installed, and not for the email / text message group who had to manually respond to price signals. There must be opportunities for higher degree of differentiation. The automatics should be coupled to multiple thermostats, and the control should be detailed, for example, with control based on the individual thermostat in each room. The thermal comfort is essential. The participants want to manage and move their electricity consumption directly via 'Electronic House Keeper'. They would welcome the opportunity to have all household appliances connected to the solution, making it possible to turn on / off these depending on prices. Good information and communication are crucial to participants' motivation. (ln)

  3. Modeling polar cap F-region patches using time varying convection

    International Nuclear Information System (INIS)

    Sojka, J.J.; Bowline, M.D.; Schunk, R.W.; Decker, D.T.; Valladares, C.E.; Sheehan, R.; Anderson, D.N.; Heelis, R.A.

    1993-01-01

    Here the authors present the results of computerized simulations of the polar cap regions which were able to model the formation of polar cap patches. They used the Utah State University Time-Dependent Ionospheric Model (TDIM) and the Phillips Laboratory (PL) F-region models in this work. By allowing a time varying magnetospheric electric field in the models, they were able to generate the patches. This time varying field generates a convection in the ionosphere. This convection is similar to convective changes observed in the ionosphere at times of southward pointing interplanetary magnetic field, due to changes in the B y component of the IMF

  4. How do urban households in China respond to increasing block pricing in electricity? Evidence from a fuzzy regression discontinuity approach

    International Nuclear Information System (INIS)

    Zhang, Zibin; Cai, Wenxin; Feng, Xiangzhao

    2017-01-01

    China is the largest electricity consumption country after it has passed the United States in 2011. Residential electricity consumption in China grew by 381.35% (12.85% per annum) between 2000 and 2013. In order to deal with rapid growth in residential electricity consumption, an increasing block pricing policy was introduced for residential electricity consumers in China on July 1st, 2012. Using difference-in-differences models with a fuzzy regression discontinuity design, we estimate a causal effect of price on electricity consumption for urban households during the introduction of increasing block pricing policy in Guangdong province of China. We find that consumers do not respond to a smaller (approximately 8%) increase in marginal price. However, consumers do respond to a larger increase in marginal price. An approximately 40% increase in marginal price induces an approximately 35% decrease in electricity use (284 kW h per month). Our results suggest that although the increasing block pricing could affect the behavior of households with higher electricity use, there is only a limit potential to overall energy conservation. - Highlights: • Estimate electricity consumption changes in response to the IBP in China. • Employ quasi-experimental approach and micro household level data in China. • Households do not respond to a smaller increase in marginal price. • 40% increase in marginal price induces a 35% decrease in electricity use.

  5. Testing and estimating time-varying elasticities of Swiss gasoline demand

    International Nuclear Information System (INIS)

    Neto, David

    2012-01-01

    This paper is intended to test and estimate time-varying elasticities for gasoline demand in Switzerland. For this purpose, a smooth time-varying cointegrating parameters model is investigated in order to describe smooth mutations of the Swiss gasoline demand. The methodology, based on Chebyshev polynomials, is rigorously outlined. Our empirical finding states that the time-invariance assumption does not hold for long-run price and income elasticities. Furthermore they highlight that gasoline demand passed through some periods of sensitivity and non sensitivity with respect to the price. Our empirical statements are of great importance to assess the performance of a gasoline tax as an instrument for CO 2 reduction policy. Indeed, such an instrument can contribute to reduce emissions of greenhouse gases only if the demand is not fully inelastic with respect to the price. Our results suggest that such a carbon-tax would not be always suitable since the price elasticity is found not stable over time and not always significant.

  6. The duty of buying electricity from renewable sources and from cogeneration versus purchasing prices

    International Nuclear Information System (INIS)

    Piha, M.

    1992-01-01

    Electricity purchase prices are regulated and should not exceed the price at which electricity is purchased from the transmission system belonging to the dominant supplier, viz., the CEZ company. The suitability is discussed of the employed method of average price comparison. Drawbacks of such a comparison lie in the lower reliability of supplies from renewable sources, the necessity of having power reserves available for the case of renewable source failure, power supplies which are economically discriminated in favor of coal fired power plants based on costs which fail to cover simple reproduction, and failure to respect the supply prices in the different tariff classes. In fact, cost and price comparison is only reasonable if it concerns electricity supplies providing the same benefit and having the same or similar parameters and characteristics. Two approaches to the search of an optimum alternative are described, viz. the system approach, respecting the aspects of the complex integrated power system, and the market approach, which is based on the lowest operator's cost of electricity purchase. (J.B.). 1 tab

  7. Modeling of demand response in electricity markets : effects of price elasticity

    International Nuclear Information System (INIS)

    Banda, E.C.; Tuan, L.A.

    2007-01-01

    A design mechanism for the optimal participation of customer load in electricity markets was presented. In particular, this paper presented a modified market model for the optimal procurement of interruptible loads participating in day-ahead electricity markets. The proposed model considers the effect of price elasticity and demand-response functions. The objective was to determine the role that price elasticity plays in electricity markets. The simulation model can help the Independent System Operator (ISO) identify customers offering the lowest price of interruptible loads and load flow patterns that avoid problems associated with transmission congestion and transmission losses. Various issues associated with procurement of demand-response offerings such as advance notification, locational aspect of load, and power factor of the loads, were considered. It was shown that demand response can mitigate price volatility by allowing the ISO to maintain operating reserves during peak load periods. It was noted that the potential benefits of the demand response program would be reduced when price elasticity of demand is taken into account. This would most likely occur in actual developed open electricity markets, such as Nordpool. This study was based on the CIGRE 32-bus system, which represents the Swedish high voltage power system. It was modified for this study to include a broad range of customer characteristics. 18 refs., 2 tabs., 14 figs

  8. ELMO model predicts the price of electric power; ELMO-malli saehkoen hinnan ennustamiseksi

    Energy Technology Data Exchange (ETDEWEB)

    Antila, H. [Electrowatt-Ekono Oy, Helsinki (Finland)

    2001-07-01

    Electrowatt-Ekono has developed a new model, by which it is possible to make long-term prognoses on the development of electricity prices in the Nordic Countries. The ELMO model can be used as an analysis service of the electricity markets and estimation of the profitability of long-term power distribution contracts with different scenarios. It can also be applied for calculation of technical and economical fundamentals for new power plants, and for estimation of the effects of different taxation models on the emissions of power generation. The model describes the whole power generation system, the power and heat consumption and transmission. The Finnish power generation system is based on the Electrowatt-Ekono's boiler database by combining different data elements. Calculation is based on the assumption that the Nordic power generation system is used optimally, and that the production costs are minimised. In practise the effectively operated electricity markets ensure the optimal use of the production system. The market area to be described consists of Finland and Sweden. The spot prices have long been the same. Norway has been treated as a separate market area. The most potential power generation system, the power consumption and the power transmission system are presumed for the target year during a normal rainfall situation. The basic scenario is calculated on the basis of the preconditional data. The calculation is carried out on hourly basis, which enables the estimation of the price variation of electric power between different times during the day and seasons. The system optimises the power generation on the basis of electricity and heat consumption curves and fuel prices. The result is an hourly limit price for electric power. Estimates are presented as standard form reports. Prices are presented as average annuals, in the seasonal base, and in hourly or daily basis for different seasons.

  9. Overcoming Spurious Regression Using time-Varying Fourier ...

    African Journals Online (AJOL)

    Non-stationary time series data have been traditionally analyzed in the frequency domain by assuming constant amplitudes regardless of the timelag. A new approach called time-varying amplitude method (TVAM) is presented here. Oscillations are analyzed for changes in the magnitude of Fourier Coefficients which are ...

  10. Electromagnetic radiation in a time-varying background medium

    NARCIS (Netherlands)

    Budko, N.V.

    2009-01-01

    Analytical solutions are presented for the electromagnetic radiation by an arbitrary pulsed source into a homogeneous time-varying background medium. In the constant-impedance case an explicit radiation formula is obtained for the synchronous permittivity and permeability described by any positive

  11. Mediation analysis with time varying exposures and mediators.

    Science.gov (United States)

    VanderWeele, Tyler J; Tchetgen Tchetgen, Eric J

    2017-06-01

    In this paper we consider causal mediation analysis when exposures and mediators vary over time. We give non-parametric identification results, discuss parametric implementation, and also provide a weighting approach to direct and indirect effects based on combining the results of two marginal structural models. We also discuss how our results give rise to a causal interpretation of the effect estimates produced from longitudinal structural equation models. When there are time-varying confounders affected by prior exposure and mediator, natural direct and indirect effects are not identified. However, we define a randomized interventional analogue of natural direct and indirect effects that are identified in this setting. The formula that identifies these effects we refer to as the "mediational g-formula." When there is no mediation, the mediational g-formula reduces to Robins' regular g-formula for longitudinal data. When there are no time-varying confounders affected by prior exposure and mediator values, then the mediational g-formula reduces to a longitudinal version of Pearl's mediation formula. However, the mediational g-formula itself can accommodate both mediation and time-varying confounders and constitutes a general approach to mediation analysis with time-varying exposures and mediators.

  12. Time Varying Market Integration and Expected Rteurns in Emerging Markets

    NARCIS (Netherlands)

    de Jong, F.C.J.M.; de Roon, F.A.

    2001-01-01

    We use a simple model in which the expected returns in emerging markets depend on their systematic risk as measured by their beta relative to the world portfolio as well as on the level of integration in that market.The level of integration is a time-varying variable that depends on the market value

  13. Scattering of a TEM wave from a time varying surface

    Science.gov (United States)

    Elcrat, Alan R.; Harder, T. Mark; Stonebraker, John T.

    1990-03-01

    A solution is given for reflection of a plane wave with TEM polarization from a planar surface with time varying properties. These properties are given in terms of the currents on the surface. The solution is obtained by numerically solving a system of differential-delay equations in the time domain.

  14. Time-varying correlation and common structures in volatility

    NARCIS (Netherlands)

    Liu, Yang

    2016-01-01

    This thesis studies time series properties of the covariance structure of multivariate asset returns. First, the time-varying feature of correlation is investigated at the intraday level with a new correlation model incorporating the intraday correlation dynamics. Second, the thesis develops a

  15. Contact Dynamics of EHL Contacts under Time Varying Conditions

    NARCIS (Netherlands)

    Venner, Cornelis H.; Popovici, G.; Wijnant, Ysbrand H.; Dalmaz, G.; Lubrecht, A.A.; Priest, M

    2004-01-01

    By means of numerical simulations of two situations with time varying operating conditions it is shown that the dynamic behaviour of Elasto-Hydrodynamically Lubricated contacts in terms of vibrations can be characterized as: Changes in the mutual approach lead to film thickness changes in the inlet

  16. Consumption, price asymmetries, transmission congestion and market power in the Norwegian electricity market

    Energy Technology Data Exchange (ETDEWEB)

    Mirza, Faisal Mehmood

    2011-07-01

    The results from this dissertation add to the ongoing debate in Norway if NordPool spot should shift from zonal price scheme to the nodal price scheme. Academically, the individual papers provide a number of theoretical frameworks that are helpful in analyzing electricity markets around the world. The PhD dissertation investigates price determination process in the Norwegian electricity market and evaluates if the market works at perfectly competitive level or producers exercise market power to drive prices away from their marginal cost of production. Using aggregate hourly electricity supply and demand data, the empirical analysis carried out in this dissertation leads to the following conclusions. 1. Market power at the generation level is not a major problem for the Norwegian electricity market. On average, when we consider the events of binding transmission capacity as exogenous, the average markup in economic terms is small and has not exceeded one percent. 2. Producers can use the information on available transmission capacity between different price areas in Norway and restrict their output to induce transmission congestion in their price area to exercise market power. Average markup during such instances has remained high at 20 percent. 3. Transmission capacity in Norway is not being optimally utilized as import capacity remains at its lowest level during the hours when southern Norway is generally a net importer of electricity, when compared to the rest of the hours of the day. 4. A segment of electricity retailers in the Norwegian electricity market exercises its market power by controlling the pass-through of price changes in the wholesale market to the retail market for variable price contract consumers. The pass-through is asymmetric, whereby cost increase is transmitted completely and quickly when compared to the case of cost decrease. 5.The Daylight saving time (Summer time) policy is helpful in ensuring energy efficiency. It results in electricity

  17. Electricity distribution. Price control, reliability and customer services: response to OFFER

    International Nuclear Information System (INIS)

    1994-02-01

    This document presents the views of the National Consumer Council to a recent consultation paper from OFFER, the body responsible for regulation of the United Kingdom electric power industry. The financial performance of the Regional Electricity Companies (RECs) is reviewed by examining how it relates to the prices paid by domestic consumers. A critical analysis is presented of OFFER's notion of the revision of the existing price control mechanism for the distribution businesses within the RECs. Standards of performance, debt and consumer disconnection are also examined. (UK)

  18. Modelling weather effects for impact analysis of residential time-of-use electricity pricing

    International Nuclear Information System (INIS)

    Miller, Reid; Golab, Lukasz; Rosenberg, Catherine

    2017-01-01

    Analyzing the impact of pricing policies such as time-of-use (TOU) is challenging in the presence of confounding factors such as weather. Motivated by a lack of consensus and model selection details in prior work, we present a methodology for modelling the effect of weather on residential electricity demand. The best model is selected according to explanatory power, out-of-sample prediction accuracy, goodness of fit and interpretability. We then evaluate the effect of mandatory TOU pricing in a local distribution company in southwestern Ontario, Canada. We use a smart meter dataset of over 20,000 households which is particularly suited to our analysis: it contains data from the summer before and after the implementation of TOU pricing in November 2011, and all customers transitioned from tiered rates to TOU rates at the same time. We find that during the summer rate season, TOU pricing results in electricity conservation across all price periods. The average demand change during on-peak and mid-peak periods is −2.6% and −2.4% respectively. Changes during off-peak periods are not statistically significant. These TOU pricing effects are less pronounced compared to previous studies, underscoring the need for clear, reproducible impact analyses which include full details about the model selection process. - Highlights: • We study models for the effect of weather on residential electricity demand. • We evaluate the effect of mandatory TOU pricing in a local distribution company in Ontario, Canada. • We find the effect of TOU pricing to be less pronounced compared to previous studies.

  19. Price-based Optimal Control of Electrical Power Systems

    Energy Technology Data Exchange (ETDEWEB)

    Jokic, A.

    2007-09-10

    The research presented in this thesis is motivated by the following issue of concern for the operation of future power systems: Future power systems will be characterized by significantly increased uncertainties at all time scales and, consequently, their behavior in time will be difficult to predict. In Chapter 2 we will present a novel explicit, dynamic, distributed feedback control scheme that utilizes nodal-prices for real-time optimal power balance and network congestion control. The term explicit means that the controller is not based on solving an optimization problem on-line. Instead, the nodal prices updates are based on simple, explicitly defined and easily comprehensible rules. We prove that the developed control scheme, which acts on the measurements from the current state of the system, always provide the correct nodal prices. In Chapter 3 we will develop a novel, robust, hybrid MPC control (model predictive controller) scheme for power balance control with hard constraints on line power flows and network frequency deviations. The developed MPC controller acts in parallel with the explicit controller from Chapter 2, and its task is to enforce the constraints during the transient periods following suddenly occurring power imbalances in the system. In Chapter 4 the concept of autonomous power networks will be presented as a concise formulation to deal with economic, technical and reliability issues in power systems with a large penetration of distributed generating units. With autonomous power networks as new market entities, we propose a novel operational structure of ancillary service markets. In Chapter 5 we will consider the problem of controlling a general linear time-invariant dynamical system to an economically optimal operating point, which is defined by a multiparametric constrained convex optimization problem related with the steady-state operation of the system. The parameters in the optimization problem are values of the exogenous inputs to

  20. Time-varying predictability in crude-oil markets: the case of GCC countries

    International Nuclear Information System (INIS)

    El Hedi Arouri, Mohamed; Thanh Huong Dinh; Duc Khuong Nguyen

    2010-01-01

    This paper uses a time-varying parameter model with generalized autoregressive conditional heteroscedasticity effects to examine the dynamic behavior of crude-oil prices for the period February 7, 1997-January 8, 2010. Using data from four countries of the Gulf Cooperation Council, we find evidence of short-term predictability in oil-price changes over time, except for several short sub-periods. However, the hypothesis of convergence towards weak-form informational efficiency is rejected for all markets. In addition, we explore the possibility of structural breaks in the time-paths of the estimated predictability indices and detect only one breakpoint, for the oil markets in Qatar and the United Arab Emirates. Our empirical results therefore call for new empirical research to further gauge the predictability characteristics and the determinants of oil-price changes.

  1. Price-based optimal control of electrical power systems

    NARCIS (Netherlands)

    Jokic, A.

    2007-01-01

    During the past decade, electrical power systems have been going through some major restructuring processes. From monopolistic, highly regulated and one utility controlled operation, a system is being restructured to include many parties competing for energy production and consumption, and for

  2. User-Aware Electricity Price Optimization for the Competitive Market

    Directory of Open Access Journals (Sweden)

    Allegra De Filippo

    2017-09-01

    Full Text Available Demand response mechanisms and load control in the electricity market represent an important area of research at the international level: the trend towards competition and market liberalization has led to the development of methodologies and tools to support energy providers. Demand side management helps energy suppliers to reduce the peak demand and remodel load profiles. This work is intended to support energy suppliers and policy makers in developing strategies to act on the behavior of energy consumers, with the aim to make a more efficient use of energy. We develop a non-linear optimization model for the dynamics of the electricity market, which can be used to obtain tariff recommendations or for setting the goals of a sensibilization campaign. The model comes in two variants: a stochastic version, designed for residential electricity consumption, and a deterministic version, suitable for large electricity users (e.g., public buildings, industrial users. We have tested our model on data from the Italian energy market and performed an extensive analysis of different scenarios. We also tested the optimization model in a real setting in the context of the FP7 DAREED project (http://www.dareed.eu/, where the model has been employed to provide tariff recommendations or to help the identification of goals for local policies.

  3. Locational marginal prices with SVC in Indian electricity market

    African Journals Online (AJOL)

    user

    In a deregulated environment, the number of bilateral transactions has grown rapidly. ... The impact of Static Var Compensator (SVC) devices have been ... The need for restructuring the electricity sector was felt in late 80s, firstly, due to limited ...

  4. Renewable Energy for Electric Vehicles : Price Based Charging Coordination

    NARCIS (Netherlands)

    Richstein, J.C.; Schuller, A.; Dinther, C.; Ketter, W.; Weinhardt, C.

    2012-01-01

    In this paper we investigate the charging coordination of battery electric vehicles (BEV) with respect to the availability of intermittent renewable energy generation considering individual real world driving profiles in a deterministic simulation based analysis, mapping a part of the German power

  5. Time-varying economic dominance in financial markets: A bistable dynamics approach

    Science.gov (United States)

    He, Xue-Zhong; Li, Kai; Wang, Chuncheng

    2018-05-01

    By developing a continuous-time heterogeneous agent financial market model of multi-assets traded by fundamental and momentum investors, we provide a potential mechanism for generating time-varying dominance between fundamental and non-fundamental in financial markets. We show that investment constraints lead to the coexistence of a locally stable fundamental steady state and a locally stable limit cycle around the fundamental, characterized by a Bautin bifurcation. This provides a mechanism for market prices to switch stochastically between the two persistent but very different market states, leading to the coexistence and time-varying dominance of seemingly controversial efficient market and price momentum over different time periods. The model also generates other financial market stylized facts, such as spillover effects in both momentum and volatility, market booms, crashes, and correlation reduction due to cross-sectional momentum trading. Empirical evidence based on the U.S. market supports the main findings. The mechanism developed in this paper can be used to characterize time-varying economic dominance in economics and finance in general.

  6. Short- and long-run time-of-use price elasticities in Swiss residential electricity demand

    International Nuclear Information System (INIS)

    Filippini, Massimo

    2011-01-01

    This paper presents an empirical analysis on the residential demand for electricity by time-of-day. This analysis has been performed using aggregate data at the city level for 22 Swiss cities for the period 2000-2006. For this purpose, we estimated two log-log demand equations for peak and off-peak electricity consumption using static and dynamic partial adjustment approaches. These demand functions were estimated using several econometric approaches for panel data, for example LSDV and RE for static models, and LSDV and corrected LSDV estimators for dynamic models. The attempt of this empirical analysis has been to highlight some of the characteristics of the Swiss residential electricity demand. The estimated short-run own price elasticities are lower than 1, whereas in the long-run these values are higher than 1. The estimated short-run and long-run cross-price elasticities are positive. This result shows that peak and off-peak electricity are substitutes. In this context, time differentiated prices should provide an economic incentive to customers so that they can modify consumption patterns by reducing peak demand and shifting electricity consumption from peak to off-peak periods. - Highlights: → Empirical analysis on the residential demand for electricity by time-of-day. → Estimators for dynamic panel data. → Peak and off-peak residential electricity are substitutes.

  7. The role of efficiency estimates in regulatory price reviews: Ofgem's approach to benchmarking electricity networks

    International Nuclear Information System (INIS)

    Pollitt, Michael

    2005-01-01

    Electricity regulators around the world make use of efficiency analysis (or benchmarking) to produce estimates of the likely amount of cost reduction which regulated electric utilities can achieve. This short paper examines the use of such efficiency estimates by the UK electricity regulator (Ofgem) within electricity distribution and transmission price reviews. It highlights the place of efficiency analysis within the calculation of X factors. We suggest a number of problems with the current approach and make suggestions for the future development of X factor setting. (author)

  8. Electricity storages - optimised operation based on spot market prices; Stromspeicher. Optimierte Fahrweise auf Basis der Spotmarktpreise

    Energy Technology Data Exchange (ETDEWEB)

    Bernhard, Dominik; Roon, Serafin von [FfE Forschungsstelle fuer Energiewirtschaft e.V., Muenchen (Germany)

    2010-06-15

    With its integrated energy and climate package the last federal government set itself ambitious goals for the improvement of energy efficiency and growth of renewable energy production. These goals were confirmed by the new government in its coalition agreement. However, they can only be realised if the supply of electricity from fluctuating renewable sources can be made to coincide with electricity demand. Electricity storages are therefore an indispensable component of the future energy supply system. This article studies the optimised operation of an electricity storage based on spot market prices and the influence of wind power production up to the year 2020.

  9. The price of electric power in EU region decreased in 1998

    International Nuclear Information System (INIS)

    Kolttola, L.

    2000-01-01

    The price of both household and industrial electric power decreased in EU region during 1998. The price of industrial power decreased by more than 3% and that of households by 0.5%. According to the Eurostat the price of industrial power decreased most in Germany and in Lisbon in Portugal. In the statistics Germany has been divided into several sub-areas. In most of these areas the price decrease was more than 10%. The price of the electric power increased e.g. in London and Birmingham in UK. The price of the electric power consumed by households decreased significantly in Athens (Greece), in Finland and Portugal, and they increased most in the Netherlands and in Leipzig in Germany. The price of industrial electric power is cheapest in Sweden being only about 0.21 FIM (0.035) per kWh, and in Finland the price in the beginning of 1999 was 0.26 FIM (0.0431) per kWh. The price of industrial electric power was highest in Germany and Italy. VAT is not included in the prices used in the survey of industrial electric power. The power consumption of the plants used in the comparison is 2.0 million kWh, the maximum power 500 kW and the maximum operation time 4000 h/a. The price of electric power for households in Greece, there it is cheapest, was under 0.4 FIM (0.07) per kWh. The data of Greece is collected from Athens. In Finland the price of domestic power was second lowest, being less than 0.5 FIM/kWh. The prices in Italy and Denmark were highest in the EU region. The households selected to the survey use 3500 kWh of power annually, 1300 kWh of which is consumed in the night. All the taxes, also VAT, have been included in the price. In 1998 half of the power (52%) was generated by traditional thermal power. The share of nuclear power was 34% and that of hydroelectric power and others 14%. The others group include also the wind power. In 1998 the consumption of thermal power increased by 5%, as well as the consumption of hydroelectric power and other, while the generation

  10. Price forecasting of day-ahead electricity markets using a hybrid forecast method

    International Nuclear Information System (INIS)

    Shafie-khah, M.; Moghaddam, M. Parsa; Sheikh-El-Eslami, M.K.

    2011-01-01

    Research highlights: → A hybrid method is proposed to forecast the day-ahead prices in electricity market. → The method combines Wavelet-ARIMA and RBFN network models. → PSO method is applied to obtain optimum RBFN structure for avoiding over fitting. → One of the merits of the proposed method is lower need to the input data. → The proposed method has more accurate behavior in compare with previous methods. -- Abstract: Energy price forecasting in a competitive electricity market is crucial for the market participants in planning their operations and managing their risk, and it is also the key information in the economic optimization of the electric power industry. However, price series usually have a complex behavior due to their nonlinearity, nonstationarity, and time variancy. In this paper, a novel hybrid method to forecast day-ahead electricity price is proposed. This hybrid method is based on wavelet transform, Auto-Regressive Integrated Moving Average (ARIMA) models and Radial Basis Function Neural Networks (RBFN). The wavelet transform provides a set of better-behaved constitutive series than price series for prediction. ARIMA model is used to generate a linear forecast, and then RBFN is developed as a tool for nonlinear pattern recognition to correct the estimation error in wavelet-ARIMA forecast. Particle Swarm Optimization (PSO) is used to optimize the network structure which makes the RBFN be adapted to the specified training set, reducing computation complexity and avoiding overfitting. The proposed method is examined on the electricity market of mainland Spain and the results are compared with some of the most recent price forecast methods. The results show that the proposed hybrid method could provide a considerable improvement for the forecasting accuracy.

  11. Price forecasting of day-ahead electricity markets using a hybrid forecast method

    Energy Technology Data Exchange (ETDEWEB)

    Shafie-khah, M., E-mail: miadreza@gmail.co [Tarbiat Modares University, Tehran (Iran, Islamic Republic of); Moghaddam, M. Parsa, E-mail: parsa@modares.ac.i [Tarbiat Modares University, Tehran (Iran, Islamic Republic of); Sheikh-El-Eslami, M.K., E-mail: aleslam@modares.ac.i [Tarbiat Modares University, Tehran (Iran, Islamic Republic of)

    2011-05-15

    Research highlights: {yields} A hybrid method is proposed to forecast the day-ahead prices in electricity market. {yields} The method combines Wavelet-ARIMA and RBFN network models. {yields} PSO method is applied to obtain optimum RBFN structure for avoiding over fitting. {yields} One of the merits of the proposed method is lower need to the input data. {yields} The proposed method has more accurate behavior in compare with previous methods. -- Abstract: Energy price forecasting in a competitive electricity market is crucial for the market participants in planning their operations and managing their risk, and it is also the key information in the economic optimization of the electric power industry. However, price series usually have a complex behavior due to their nonlinearity, nonstationarity, and time variancy. In this paper, a novel hybrid method to forecast day-ahead electricity price is proposed. This hybrid method is based on wavelet transform, Auto-Regressive Integrated Moving Average (ARIMA) models and Radial Basis Function Neural Networks (RBFN). The wavelet transform provides a set of better-behaved constitutive series than price series for prediction. ARIMA model is used to generate a linear forecast, and then RBFN is developed as a tool for nonlinear pattern recognition to correct the estimation error in wavelet-ARIMA forecast. Particle Swarm Optimization (PSO) is used to optimize the network structure which makes the RBFN be adapted to the specified training set, reducing computation complexity and avoiding overfitting. The proposed method is examined on the electricity market of mainland Spain and the results are compared with some of the most recent price forecast methods. The results show that the proposed hybrid method could provide a considerable improvement for the forecasting accuracy.

  12. Toward the integration of European natural gas markets:A time-varying approach

    International Nuclear Information System (INIS)

    Renou-Maissant, Patricia

    2012-01-01

    Over the past fifteen years, European gas markets have radically changed. In order to build a single European gas market, a new regulatory framework has been established through three European Gas Directives. The purpose of this article is to investigate the impact of the reforms in the natural gas industry on consumer prices, with a specific focus on gas prices for industrial use. The strength of the relationship between the industrial gas prices of six western European countries is studied by testing the Law of One Price for the period 1991–2009. Estimations were carried out using both cointegration analysis and time-varying parameter models. Results highlight an emerging and on-going process of convergence between the industrial gas prices in western Europe since 2001 for the six EU member states. The strength and the level of convergence differ widely between countries. Strong integration of gas markets in continental Europe, except for the Belgian market, has been established. It appears that the convergence process between continental countries and the UK is not completed. Thus, the integration of European gas markets remains an open issue and the question of how far integration will proceed will still be widely discussed in the coming years. - Highlights: ► We investigate the integration of European natural gas markets. ► We use both cointegration analysis and time-varying parameter models. ► We show the failure of cointegration techniques to take account of evolving processes. ► An emerging and on-going process of convergence between the industrial gas prices is at work. ► Strong integration of gas markets in continental Europe has been established.

  13. Blending of electricity pricing with time flavour - an analysis of net system benefit to an electric utility in India

    International Nuclear Information System (INIS)

    Bhardwaj, J.L.

    1992-01-01

    Demand-side Management is a powerful strategy for modifying electric energy consumption patterns for the mutual benefit of consumers, the supplier and the economy as a whole Time-of-use pricing of electricity suggest a policy where the price is time-differentiated so as to reduce contribution to the system-peak which determines the capacity and investments of a power-system. This paper describes a case-study of net system benefit to an electric utility in India by offering time-of-use tariff to high voltage (HV) industrial consumers. The study shows that there is a potential of shifting about 19% H.V. Industrial loads from peak to off-peak hours thereby benefitting both, the consumers and the utility. 1 fig., 2 tabs

  14. Cross-border electricity market effects due to price caps in an emission trading system : An agent-based approach

    NARCIS (Netherlands)

    Richstein, J.C.; Chappin, E.J.L.; De Vries, L.J.

    2014-01-01

    The recent low CO2 prices in the European Union Emission Trading Scheme (EU ETS) have triggered a discussion whether the EU ETS needs to be adjusted. We study the effects of CO2 price floors and a price ceiling on the dynamic investment pathway of two interlinked electricity markets (loosely based

  15. Impacts of the introduction of CO2 price floors in a two-country electricity maket model

    NARCIS (Netherlands)

    Richstein, J.C.; Chappin, E.J.L.; De Vries, L.J.

    2012-01-01

    The recent low of CO2 prices in the European Union Emission Trading Scheme have triggered a renewed discussion, whether the introduction of a CO2 price oor would lower investor uncertainty and thus trigger more investment in low-carbon electricity generation. We compare the effects of a CO2 price

  16. Report of the Economy, Sustainable Development and Land Planning Commission aiming at authorizing electricity final user and small companies to go back to the electricity regulated price

    International Nuclear Information System (INIS)

    2010-01-01

    This report first presents the French regulated price system by recalling the legal bases for electricity and natural gas pricing, and by describing the progressive process of the electricity and natural gas market opening in France. It outlines that a reversibility principle has been introduced along with regulated pricing in most of the European Union countries. It also comments the complexity created on this issue by successive laws in France, the consequences of the soon coming law on the new organization of the electricity market. Then, the report comments the proposition which aims at authorizing electricity household users and small companies to go back to the regulated electricity price, thereby perpetuating the reversibility principle, while maintaining a criterion of installed electricity power, including natural gas prices and new consumption sites. A table proposes a comparison between existing texts, the present law project and this Commission proposition

  17. Price-based optimal control of electrical power systems

    OpenAIRE

    Jokic, A.

    2007-01-01

    During the past decade, electrical power systems have been going through some major restructuring processes. From monopolistic, highly regulated and one utility controlled operation, a system is being restructured to include many parties competing for energy production and consumption, and for provision of many of the ancillary services necessary for system operation. With the emergence of competitive markets as central operational mechanisms, the prime operational objective has shifted from ...

  18. Long-term memory in electricity prices: Czech market evidence

    Czech Academy of Sciences Publication Activity Database

    Krištoufek, Ladislav; Luňáčková, P.

    2013-01-01

    Roč. 63, č. 5 (2013), s. 407-424 ISSN 0015-1920 R&D Projects: GA ČR GA402/09/0965 Grant - others:GA ČR(CZ) GAP402/11/0948 Program:GA Institutional support: RVO:67985556 Keywords : electricity * long-term memory Subject RIV: AH - Economics Impact factor: 0.358, year: 2013 http://library.utia.cas.cz/separaty/2014/E/kristoufek-0427660.pdf

  19. Tariff System and Electricity Price in the Republic if Croatia

    International Nuclear Information System (INIS)

    Topic, J.; Jurisic, S.

    1995-01-01

    This paper describes the origin and development of Electricity Tariff System in Croatia with special emphasis on the tariff system established in 1991. The analyzed period of the application of the tariff system in force and all other tariff rates from 1991 to 1995 are the basis for the assessment of required and possible alternations of tariff rates till the year 2000. (author). 4 refs., 5 figs., 7 tabs., 1 plan

  20. Economic analysis of price premiums in the presence of non-convexities. Evidence from German electricity markets

    International Nuclear Information System (INIS)

    Paschmann, Martin

    2017-01-01

    Analyzing price data from sequential German electricity markets, namely the day-ahead and intraday auction, a puzzling but apparently systematic pattern of price premiums can be identified. The price premiums are highly correlated with the underlying demand profile. As there is evidence that widespread models for electricity forward premiums are not applicable to the market dynamics under analysis, a theoretical model is developed within this article which reveals that non-convexities in only a subset of sequential markets with differing product granularity may cause systematic price premiums at equilibrium. These price premiums may be bidirectional and reflect a value for additional short-term power supply system flexibility.

  1. Economic analysis of price premiums in the presence of non-convexities. Evidence from German electricity markets

    Energy Technology Data Exchange (ETDEWEB)

    Paschmann, Martin

    2017-11-15

    Analyzing price data from sequential German electricity markets, namely the day-ahead and intraday auction, a puzzling but apparently systematic pattern of price premiums can be identified. The price premiums are highly correlated with the underlying demand profile. As there is evidence that widespread models for electricity forward premiums are not applicable to the market dynamics under analysis, a theoretical model is developed within this article which reveals that non-convexities in only a subset of sequential markets with differing product granularity may cause systematic price premiums at equilibrium. These price premiums may be bidirectional and reflect a value for additional short-term power supply system flexibility.

  2. Short-term electricity prices forecasting in a competitive market by a hybrid intelligent approach

    Energy Technology Data Exchange (ETDEWEB)

    Catalao, J.P.S. [Department of Electromechanical Engineering, University of Beira Interior, R. Fonte do Lameiro, 6201-001 Covilha (Portugal); Center for Innovation in Electrical and Energy Engineering, Instituto Superior Tecnico, Technical University of Lisbon, Av. Rovisco Pais, 1049-001 Lisbon (Portugal); Pousinho, H.M.I. [Department of Electromechanical Engineering, University of Beira Interior, R. Fonte do Lameiro, 6201-001 Covilha (Portugal); Mendes, V.M.F. [Department of Electrical Engineering and Automation, Instituto Superior de Engenharia de Lisboa, R. Conselheiro Emidio Navarro, 1950-062 Lisbon (Portugal)

    2011-02-15

    In this paper, a hybrid intelligent approach is proposed for short-term electricity prices forecasting in a competitive market. The proposed approach is based on the wavelet transform and a hybrid of neural networks and fuzzy logic. Results from a case study based on the electricity market of mainland Spain are presented. A thorough comparison is carried out, taking into account the results of previous publications. Conclusions are duly drawn. (author)

  3. Dynamics of global supply chain and electric power networks: Models, pricing analysis, and computations

    Science.gov (United States)

    Matsypura, Dmytro

    In this dissertation, I develop a new theoretical framework for the modeling, pricing analysis, and computation of solutions to electric power supply chains with power generators, suppliers, transmission service providers, and the inclusion of consumer demands. In particular, I advocate the application of finite-dimensional variational inequality theory, projected dynamical systems theory, game theory, network theory, and other tools that have been recently proposed for the modeling and analysis of supply chain networks (cf. Nagurney (2006)) to electric power markets. This dissertation contributes to the extant literature on the modeling, analysis, and solution of supply chain networks, including global supply chains, in general, and electric power supply chains, in particular, in the following ways. It develops a theoretical framework for modeling, pricing analysis, and computation of electric power flows/transactions in electric power systems using the rationale for supply chain analysis. The models developed include both static and dynamic ones. The dissertation also adds a new dimension to the methodology of the theory of projected dynamical systems by proving that, irrespective of the speeds of adjustment, the equilibrium of the system remains the same. Finally, I include alternative fuel suppliers, along with their behavior into the supply chain modeling and analysis framework. This dissertation has strong practical implications. In an era in which technology and globalization, coupled with increasing risk and uncertainty, complicate electricity demand and supply within and between nations, the successful management of electric power systems and pricing become increasingly pressing topics with relevance not only for economic prosperity but also national security. This dissertation addresses such related topics by providing models, pricing tools, and algorithms for decentralized electric power supply chains. This dissertation is based heavily on the following

  4. The Effects of Average Revenue Regulation on Electricity Transmission Investment and Pricing

    OpenAIRE

    Isamu Matsukawa

    2005-01-01

    This paper investigates the long-run effects of average revenue regulation on an electricity transmission monopolist who applies a two- part tariff comprising a variable congestion price and a non-negative fixed access fee. A binding constraint on the monopolist fs expected average revenue lowers the access fee, promotes transmission investment, and improves consumer surplus. In a case of any linear or log-linear electricity demand function with a positive probability that no congestion occur...

  5. Short-term electricity prices forecasting in a competitive market by a hybrid intelligent approach

    International Nuclear Information System (INIS)

    Catalao, J.P.S.; Pousinho, H.M.I.; Mendes, V.M.F.

    2011-01-01

    In this paper, a hybrid intelligent approach is proposed for short-term electricity prices forecasting in a competitive market. The proposed approach is based on the wavelet transform and a hybrid of neural networks and fuzzy logic. Results from a case study based on the electricity market of mainland Spain are presented. A thorough comparison is carried out, taking into account the results of previous publications. Conclusions are duly drawn. (author)

  6. Practical operation strategies for pumped hydroelectric energy storage (PHES) utilising electricity price arbitrage

    International Nuclear Information System (INIS)

    Connolly, D.; Lund, H.; Finn, P.; Mathiesen, B.V.; Leahy, M.

    2011-01-01

    In this paper, three practical operation strategies (24Optimal, 24Prognostic, and 24Hsitrocial) are compared to the optimum profit feasible for a PHES facility with a 360 MW pump, 300 MW turbine, and a 2 GWh storage utilising price arbitrage on 13 electricity spot markets. The results indicate that almost all (∼97%) of the profits can be obtained by a PHES facility when it is optimised using the 24Optimal strategy developed, which optimises the energy storage based on the day-ahead electricity prices. However, to maximise profits with the 24Optimal strategy, the day-ahead electricity prices must be the actual prices which the PHES facility is charged or the PHES operator must have very accurate price predictions. Otherwise, the predicted profit could be significantly reduced and even become a loss. Finally, using the 24Optimal strategy, the PHES profit can surpass the annual investment repayments required. However, over the 5-year period investigated (2005-2009) the annual profit from the PHES facility varied by more than 50% on five out of six electricity markets considered. Considering the 40-year lifetime of PHES, even with low investment costs, a low interest rate, and a suitable electricity market, PHES is a risky investment without a more predictable profit. - Highlights: → Electricity generators typically operate on a market, including energy storage. → This paper assesses how energy storage can maximise its profits on a market. → Four operating strategies are assessed on 13 markets using a case study.→ One operating strategy achieves 97% of the profits feasible.→ However, the profit varies a lot depending on the market and capital costs.

  7. Electrical energy prices and losses respect to Turkish social-economic situations

    International Nuclear Information System (INIS)

    Berktay, Ali; Demirbas, Ayhan; Kocak, Saim; Nas, Bilgehan

    2004-01-01

    Electricity is a basic part of nature and it is one of the most widely used forms of energy. Electricity, which is a secondary energy source, can be generated from the conversion of other sources of energy, such as coal, natural gas, oil, nuclear power and renewable resources. Electricity prices have a deep impact on the competitiveness of a country's industry. Some electricity losses may occur during the process of transmission and distribution from generators to consumers. Generally there are two types of losses, one is technical losses which cover transmission losses and the other is non-technical losses including distribution losses and the incidence of illegal usage. The aim of this paper is to present the electricity usage and prices and is also to focus on the electricity losses occur both technical and non-technical means. An 'electricity losses map' was produced to illustrate the electricity losses. For this purpose, a vector based Geographic Information System (GIS) software package Arc GIS 8.3 was employed to map the data. The rate of losses within the electricity provided to the national network was about 19% in Turkey. The incidence of illegal usage and hence the rate of non-technical losses could be reduced dramatically through establishing regular action. (Author)

  8. Time-varying properties of renal autoregulatory mechanisms

    DEFF Research Database (Denmark)

    Zou, Rui; Cupples, Will A; Yip, K P

    2002-01-01

    In order to assess the possible time-varying properties of renal autoregulation, time-frequency and time-scaling methods were applied to renal blood flow under broad-band forced arterial blood pressure fluctuations and single-nephron renal blood flow with spontaneous oscillations obtained from...... normotensive (Sprague-Dawley, Wistar, and Long-Evans) rats, and spontaneously hypertensive rats. Time-frequency analyses of normotensive and hypertensive blood flow data obtained from either the whole kidney or the single-nephron show that indeed both the myogenic and tubuloglomerular feedback (TGF) mechanisms...... have time-varying characteristics. Furthermore, we utilized the Renyi entropy to measure the complexity of blood-flow dynamics in the time-frequency plane in an effort to discern differences between normotensive and hypertensive recordings. We found a clear difference in Renyi entropy between...

  9. Time varying determinants of bond flows to emerging markets

    Directory of Open Access Journals (Sweden)

    Yasemin Erduman

    2016-06-01

    Full Text Available This paper investigates the time varying nature of the determinants of bond flows with a focus on the global financial crisis period. We estimate a time varying regression model using Bayesian estimation methods, where the posterior distribution is approximated by Gibbs sampling algorithm. Our findings suggest that the interest rate differential is the most significant pull factor of portfolio bond flows, along with the inflation rate, while the growth rate does not play a significant role. Among the push factors, global liquidity is the most important driver of bond flows. It matters the most, when unconventional monetary easing policies were first announced; and its importance as a determinant of portfolio bond flows decreases over time, starting with the Eurozone crisis, and diminishes with the tapering talk. Global risk appetite and the risk perception towards the emerging countries also have relatively small and stable significant effects on bond flows.

  10. Modelling Time-Varying Volatility in Financial Returns

    DEFF Research Database (Denmark)

    Amado, Cristina; Laakkonen, Helinä

    2014-01-01

    The “unusually uncertain” phase in the global financial markets has inspired many researchers to study the effects of ambiguity (or “Knightian uncertainty”) on the decisions made by investors and their implications for the capital markets. We contribute to this literature by using a modified...... version of the time-varying GARCH model of Amado and Teräsvirta (2013) to analyze whether the increasing uncertainty has caused excess volatility in the US and European government bond markets. In our model, volatility is multiplicatively decomposed into two time-varying conditional components: the first...... being captured by a stable GARCH(1,1) process and the second driven by the level of uncertainty in the financial market....

  11. Scaling properties in time-varying networks with memory

    Science.gov (United States)

    Kim, Hyewon; Ha, Meesoon; Jeong, Hawoong

    2015-12-01

    The formation of network structure is mainly influenced by an individual node's activity and its memory, where activity can usually be interpreted as the individual inherent property and memory can be represented by the interaction strength between nodes. In our study, we define the activity through the appearance pattern in the time-aggregated network representation, and quantify the memory through the contact pattern of empirical temporal networks. To address the role of activity and memory in epidemics on time-varying networks, we propose temporal-pattern coarsening of activity-driven growing networks with memory. In particular, we focus on the relation between time-scale coarsening and spreading dynamics in the context of dynamic scaling and finite-size scaling. Finally, we discuss the universality issue of spreading dynamics on time-varying networks for various memory-causality tests.

  12. An enhanced radial basis function network for short-term electricity price forecasting

    International Nuclear Information System (INIS)

    Lin, Whei-Min; Gow, Hong-Jey; Tsai, Ming-Tang

    2010-01-01

    This paper proposed a price forecasting system for electric market participants to reduce the risk of price volatility. Combining the Radial Basis Function Network (RBFN) and Orthogonal Experimental Design (OED), an Enhanced Radial Basis Function Network (ERBFN) has been proposed for the solving process. The Locational Marginal Price (LMP), system load, transmission flow and temperature of the PJM system were collected and the data clusters were embedded in the Excel Database according to the year, season, workday and weekend. With the OED applied to learning rates in the ERBFN, the forecasting error can be reduced during the training process to improve both accuracy and reliability. This would mean that even the ''spikes'' could be tracked closely. The Back-propagation Neural Network (BPN), Probability Neural Network (PNN), other algorithms, and the proposed ERBFN were all developed and compared to check the performance. Simulation results demonstrated the effectiveness of the proposed ERBFN to provide quality information in a price volatile environment. (author)

  13. Industrial customer response to wholesale prices in the restructured Texas electricity market

    International Nuclear Information System (INIS)

    Zarnikau, J.

    2007-01-01

    This paper estimates the demand responsiveness of the 20 largest industrial energy consumers in the Houston area to wholesale price signals in the restructured Electric Reliability Council of Texas (ERCOT) market. Statistical analysis of their load patterns employing a Symmetric Generalized McFadden cost function model suggests that ERCOT achieved limited success in establishing a market that facilitates demand response from the largest industrial energy consumers in the Houston area to wholesale price signals in its second year of retail competition. The muted price response is at least partially because energy consumers who opt to offer their ''interruptibility'' to the market as an ancillary service are constrained in their ability to respond to wholesale energy prices. (author)

  14. Aggregate industrial energy consumer response to wholesale prices in the restructured Texas electricity market

    International Nuclear Information System (INIS)

    Zarnikau, Jay; Hallett, Ian

    2008-01-01

    The aggregate response of consumers to wholesale price signals is very limited in the restructured Electric Reliability Council of Texas (ERCOT) market. An overall average own-price elasticity of demand of - 0.000008 for industrial energy consumers served at transmission voltage is estimated using a Symmetric Generalized McFadden cost function model. To date, ERCOT has sought to promote demand response to price signals without reliance on 'stand alone' demand response programs, but with a market structure that is designed to facilitate economic demand response. This very limited responsiveness to wholesale price signals may prove problematic in light of policy decisions to pursue an 'energy only' resource adequacy mechanism for ERCOT. (author)

  15. Impact of optimal load response to real-time electricity price on power system constraints in Denmark

    DEFF Research Database (Denmark)

    Hu, Weihao; Chen, Zhe; Bak-Jensen, Birgitte

    2010-01-01

    Since the hourly spot market price is available one day ahead in Denmark, the price could be transferred to the consumers and they may shift their loads from high price periods to the low price periods in order to save their energy costs. The optimal load response to a real-time electricity price...... and may represent the future of electricity markets in some ways, is chosen as the studied power system in this paper. A distribution system where wind power capacity is 126% of maximum loads is chosen as the study case. This paper presents a nonlinear load optimization method to real-time power price...... for demand side management in order to save the energy costs as much as possible. Simulation results show that the optimal load response to a real-time electricity price has some good impacts on power system constraints in a distribution system with high wind power penetrations....

  16. Tariffs on power supply and prices of electricity per 1st January 1994

    International Nuclear Information System (INIS)

    1994-04-01

    The document gives a survey of the most usual types of tariffs connected with the Danish electric-power distribution companies and the prices, valid per January 1st, 1994, set by individual companies and also the cost to consumers of connection to the supply network. A survey of prices set by power plant administrators with regard to the distribution companies is also included in addition to a summary of the modes of calculation in connection with wind turbines not owned by the electricity companies and descriptions of models for calculations related to decentral and industrial plants. Local conditions such as structure, economy etc. must be taken into consideration when comparing prices set by companies in several different areas. (AB)

  17. A Data-Driven Bidding Model for a Cluster of Price-Responsive Consumers of Electricity

    DEFF Research Database (Denmark)

    Saez Gallego, Javier; Morales González, Juan Miguel; Zugno, Marco

    2016-01-01

    This paper deals with the market-bidding problem of a cluster of price-responsive consumers of electricity. We develop an inverse optimization scheme that, recast as a bilevel programming problem, uses price-consumption data to estimate the complex market bid that best captures the price......-response of the cluster. The complex market bid is defined as a series of marginal utility functions plus some constraints on demand, such as maximum pick-up and drop-off rates. The proposed modeling approach also leverages information on exogenous factors that may influence the consumption behavior of the cluster, e...... can be largely captured in the form of a complex market bid, so that this could be ultimately used for the cluster to participate in the wholesale electricity market....

  18. Application of the ant colony search algorithm to reactive power pricing in an open electricity market

    International Nuclear Information System (INIS)

    Ketabi, Abbas; Alibabaee, Ahmad; Feuillet, R.

    2010-01-01

    Reactive power management is essential to transfer real energy and support power system security. Developing an accurate and feasible method for reactive power pricing is important in the electricity market. In conventional optimal power flow models the production cost of reactive power was ignored. In this paper, the production cost of reactive power and investment cost of capacitor banks were included into the objective function of the OPF problem. Then, using ant colony search algorithm, the optimal problem was solved. Marginal price theory was used for calculation of the cost of active and reactive power at each bus in competitive electric markets. Application of the proposed method on IEEE 14-bus system confirms its validity and effectiveness. Results from several case studies show clearly the effects of various factors on reactive power price. (author)

  19. Robust estimation and forecasting of the long-term seasonal component of electricity spot prices

    International Nuclear Information System (INIS)

    Nowotarski, Jakub; Tomczyk, Jakub; Weron, Rafał

    2013-01-01

    We present the results of an extensive study on estimation and forecasting of the long-term seasonal component (LTSC) of electricity spot prices. We consider a battery of over 300 models, including monthly dummies and models based on Fourier or wavelet decomposition combined with linear or exponential decay. We find that the considered wavelet-based models are significantly better in terms of forecasting spot prices up to a year ahead than the commonly used monthly dummies and sine-based models. This result questions the validity and usefulness of stochastic models of spot electricity prices built on the latter two types of LTSC models. - Highlights: • First comprehensive study on the forecasting of the long-term seasonal components • Over 300 models examined, including commonly used and new approaches • Wavelet-based models outperform sine-based and monthly dummy models. • Validity of stochastic models built on sines or monthly dummies is questionable

  20. Common long-range dependence in a panel of hourly Nord Pool electricity prices and loads

    DEFF Research Database (Denmark)

    Ergemen, Yunus Emre; Haldrup, Niels; Rodríguez-Caballero, Carlos Vladimir

    to strong seasonal periodicity, and along the cross-sectional dimension, i.e. the hours of the day, there is a strong dependence which necessarily has to be accounted for in order to avoid spurious inference when focusing on the time series dependence alone. The long-range dependence is modelled in terms...... of a fractionally integrated panel data model and it is shown that both prices and loads consist of common factors with long memory and with loadings that vary considerably during the day. Due to the competitiveness of the Nordic power market the aggregate supply curve approximates well the marginal costs...... data approaches to analyse the time series and the cross-sectional dependence of hourly Nord Pool electricity spot prices and loads for the period 2000-2013. Hourly electricity prices and loads data are characterized by strong serial long-range dependence in the time series dimension in addition...