WorldWideScience

Sample records for electric power prices

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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.

  8. 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

  9. 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....

  10. 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

  11. 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.

  12. 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...

  13. 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....

  14. 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

  15. 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.)

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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.

  1. 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.

  2. 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)

  3. 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

  4. 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

  5. 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....

  6. 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

  7. 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...

  8. 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

  9. 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.

  10. 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.)

  11. 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

  12. 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...

  13. 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

  14. 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)

  15. 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.

  16. 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)

  17. 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

  18. 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

  19. 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)

  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. 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)

  2. 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

  3. 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.

  4. 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

  5. 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

  6. 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...

  7. 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 ...

  8. 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

  9. 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.

  10. 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)

  11. 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.

  12. 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.

  13. 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.

  14. 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)

  15. 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)

  16. 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

  17. 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

  18. Investments and price formation in a liberalized electric power market. Appendices

    International Nuclear Information System (INIS)

    Morthorst, P.E.

    2005-06-01

    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. The appendix volume of the project report contains detailed descriptions of the three models that are used: the Balmorel model, the investment model, and the MARS model. The Balmorel model is a partial equilibrium model that describes a coherent, international electric power system and combined heat and power system. The model was developed in 2000 through international co-operation with the aim to have a model for analysing international aspects in the Baltic area. The investment model analyses and models the investment decisions in a liberalized Nordic electric power market. It is an exogenous model constructed outside the Balmorel model but uses the price pictures from the Balmorel model as input. MARS (MARket Simulation) is Eltra's (a Danish electric power transmission company) market model for simulating prices, production, demand and exchanges in the power market. The model covers the Nordic countries (Nord Pool) and Northern Germany. (LN)

  19. 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

  20. The effect of the Fukushima nuclear accident on stock prices of electric power utilities in Japan

    International Nuclear Information System (INIS)

    Kawashima, Shingo; Takeda, Fumiko

    2012-01-01

    The purpose of this study is to investigate the effect of the accident at the Fukushima Daiichi nuclear power station, which is owned by Tokyo Electric Power Co. (TEPCO), on the stock prices of the other electric power utilities in Japan. Because the other utilities were not directly damaged by the Fukushima nuclear accident, their stock price responses should reflect the change in investor perceptions on risk and return associated with nuclear power generation. Our first finding is that the stock prices of utilities that own nuclear power plants declined more sharply after the accident than did the stock prices of other electric power utilities. In contrast, investors did not seem to care about the risk that may arise from the use of the same type of nuclear power reactors as those at the Fukushima Daiichi station. We also observe an increase of both systematic and total risks in the post-Fukushima period, indicating that negative market reactions are not merely caused by one-time losses but by structural changes in society and regulation that could increase the costs of operating a nuclear power plant.

  1. 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

  2. Market power and price structure in the electricity market; Markedsmakt og prisstruktur i kraftmarkedet

    Energy Technology Data Exchange (ETDEWEB)

    Halseth, Arve

    1998-12-01

    This report evaluates the importance of market power on price formation and price structure in the Norwegian electricity market. A simple oligopoly model is used to show how the equilibrium is affected by demand, distribution of capacity between two major suppliers, and marginal production costs, given that the suppliers do not cooperate. Two important conclusions can be drawn from the calculations: (1) a high concentration on the supply side does not necessarily lead to essential market power, and (2) market power may contribute to increased stability and predictability. The main conclusion is that market power can be positive for society and it is not uniquely associated with a high concentration on the supply side. If emphasis is placed on stability and predictability, market power should not be defined as deviation from prices under free competition but rather should be related to the requirement that the suppliers should not obtain unreasonably high profit with unreasonably little utilization of capacity. 10 refs., 11 figs.

  3. 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.

  4. Price-based optimal control of power flow in electrical energy transmission networks

    NARCIS (Netherlands)

    Jokic, A.; Lazar, M.; Bosch, van den P.P.J.; Bemporad, A.; Bicchi, A.; Buttazzo, G.

    2007-01-01

    This article presents a novel control scheme for achieving optimal power balancing and congestion control in electrical energy transmission networks via nodal prices. We develop an explicit controller that guarantees economically optimal steady-state operation while respecting all line flow

  5. 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)

  6. A Three-Part Electricity Price Mechanism for Photovoltaic-Battery Energy Storage Power Plants Considering the Power Quality and Ancillary Service

    Directory of Open Access Journals (Sweden)

    Yajing Gao

    2017-08-01

    Full Text Available To solve the problem of solar abandoning, which is accompanied by the rapid development of photovoltaic (PV power generation, a demonstration of a photovoltaic-battery energy storage system (PV-BESS power plant has been constructed in Qinghai province in China. However, it is difficult for the PV-BESS power plant to survive and develop with the current electricity price mechanism and subsidy policy. In this paper, a three-part electricity price mechanism is proposed based on a deep analysis of the construction and operation costs and economic income. The on-grid electricity price is divided into three parts: the capacity price, graded electricity price, and ancillary service price. First, to ensure that the investment of the PV-BESS power plant would achieve the industry benchmark income, the capacity price and benchmark electricity price are calculated using the discounted cash flow method. Then, the graded electricity price is calculated according to the grade of the quality of grid-connected power. Finally, the ancillary service price is calculated based on the graded electricity price and ancillary service compensation. The case studies verify the validity of the three-part electricity price mechanism. The verification shows that the three-part electricity price mechanism can help PV-BESS power plants to obtain good economic returns, which can promote the development of PV-BESS power plants.

  7. Markov switching of the electricity supply curve and power prices dynamics

    Science.gov (United States)

    Mari, Carlo; Cananà, Lucianna

    2012-02-01

    Regime-switching models seem to well capture the main features of power prices behavior in deregulated markets. In a recent paper, we have proposed an equilibrium methodology to derive electricity prices dynamics from the interplay between supply and demand in a stochastic environment. In particular, assuming that the supply function is described by a power law where the exponent is a two-state strictly positive Markov process, we derived a regime switching dynamics of power prices in which regime switches are induced by transitions between Markov states. In this paper, we provide a dynamical model to describe the random behavior of power prices where the only non-Brownian component of the motion is endogenously introduced by Markov transitions in the exponent of the electricity supply curve. In this context, the stochastic process driving the switching mechanism becomes observable, and we will show that the non-Brownian component of the dynamics induced by transitions from Markov states is responsible for jumps and spikes of very high magnitude. The empirical analysis performed on three Australian markets confirms that the proposed approach seems quite flexible and capable of incorporating the main features of power prices time-series, thus reproducing the first four moments of log-returns empirical distributions in a satisfactory way.

  8. 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

  9. 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....

  10. 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)

  11. 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)

  12. A model of market power in electricity industries subject to peak load pricing

    International Nuclear Information System (INIS)

    Arellano, Maria-Soledad; Serra, Pablo

    2007-01-01

    This paper studies the exercise of market power in price-regulated electricity industries under peak-load pricing and merit order dispatching, but where investment decisions are taken by independent generating companies. Within this context, we show that producers can exercise market power by under-investing in base-load capacity, compared to the welfare-maximizing configuration. We also show that when there is free entry with an exogenous fixed entry cost that is later sunk, more intense competition results in higher welfare but fewer firms. (author)

  13. Price for the quality of the electric power network

    International Nuclear Information System (INIS)

    Baarsma, B.E.; Berkhout, P.H.G.; Hop, J.P.; Van Gemert, M.

    2004-01-01

    Power failures cause societal costs. Therefore, it is important that in the decision making process with regard to investments network managers take into account not only private costs and benefits, but also societal benefits of their investments. The benefits can be quantified by means of the so-called conjoint analysis and compared with the contingent valuation method (CVM). The article is followed by a reaction of employees of the Dutch Office of Energy Regulation (DTe) [nl

  14. Impacts from new 50 MW wind power plant - Bogdnaci on the price of electrical energy in Macedonia

    International Nuclear Information System (INIS)

    Minovski, D.; Sarac, V.; Causevski, A.

    2012-01-01

    The paper presents the impact from the new planned wind power plant Bogdnaci on the price for the end users of electrical energy in Republic of Macedonia. In the next years, 50 MW wind power will be installed in the Macedonian electric power system. Production of electricity from wind power plants is unpredictable and of stochastic nature i.e. depends on the weather or the wind speed at the appropriate locations. Output of wind power plants is changing every minute, thus changing in the hourly level can be from 0 - 100%, even several times depending on the occurrence of winds. Changes in output of wind power plants, leads to increased demand for operational reserve in a power system. Preferential price of electrical energy from the wind power plants and increased operational reserve in the electric power system will have big impact on the final price of electrical energy in Republic of Macedonia. (Authors)

  15. Essays on microgrids, asymmetric pricing and market power in electricity markets

    Science.gov (United States)

    Lo Prete, Chiara

    This dissertation presents four studies of the electricity industry. The first and second essays use economic-engineering models to assess different aspects of microgrid penetration in regional electricity markets, while the last two studies contain empirical analyses aimed at evaluating the performance of wholesale electricity markets. Chapter 2 develops a framework to quantify economic, environmental, efficiency and reliability impacts of different power production scenarios in a regional system, focusing on the interaction of microgrids with the existing transmission and distribution grid. The setting is the regional network formed by Belgium, France, Germany and the Netherlands. The study presents simulations of power market outcomes under various policies and levels of microgrid penetration, and evaluates them using a diverse set of metrics. Chapter 3 studies the interaction between a microgrid and a regulated electric utility in a regional electricity market. I consider the interaction among the utility, the microgrid developer and consumers in the framework of cooperative game theory (assuming exchangeable utility), and use regional market models to simulate scenarios in which microgrid introduction may or may not be socially beneficial. Under the assumptions of this chapter, customer participation is essential to the development of socially beneficial microgrids, while the utility has little or no gain from it. Discussed incentives to avoid that utilities block microgrid entry include additional revenue drivers related to microgrid connection, decoupling and performance-based mechanisms targeted at service quality. When prices are below marginal costs of utility provided power, microgrid development may be socially beneficial, but unprofitable for microgrid customers and its developer. By imposing lower charges and higher remuneration for its services, the regulator could ensure that microgrid value is positive, without adversely impacting the utility

  16. Controlling market power and price spikes in electricity networks: Demand-side bidding.

    Science.gov (United States)

    Rassenti, Stephen J; Smith, Vernon L; Wilson, Bart J

    2003-03-04

    In this article we report an experiment that examines how demand-side bidding can discipline generators in a market for electric power. First we develop a treatment without demand-side bidding; two large firms are allocated baseload and intermediate cost generators such that either firm might unilaterally withhold the capacity of its intermediate cost generators from the market to benefit from the supracompetitive prices that would result from only selling its baseload units. In a converse treatment, ownership of some of the intermediate cost generators is transferred from each of these firms to two other firms such that no one firm could unilaterally restrict output to spawn supracompetitive prices. Having established a well controlled data set with price spikes paralleling those observed in the naturally occurring economy, we also extend the design to include demand-side bidding. We find that demand-side bidding completely neutralizes the exercise of market power and eliminates price spikes even in the presence of structural market power.

  17. 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)

  18. Reduction of regional disparities in electric power prices by spatially effective measures and planning in the Federal Republic of Germany

    Energy Technology Data Exchange (ETDEWEB)

    Wagner, G

    1984-01-01

    For a long time energy policy has been trying to reduce disparities in electric power prices by administrative and financial measures alone. Governmental planning was opening up new prospects when long-range fuel transport - and in particular the transport of hard coal by ship or by rail - was seeing a drop in prices in the mid seventies. Since fuel transport has been lower-priced than the transport of equivalent quantities of electric power, regional disparities in electric power prices which are due to the respective supply structures may be levelled by way of power plant site selection and power plant installation according to the specific regional loads. A decentralized expansion of power generation within reach of the consumer requires but a minimum of wiring. Structural price disparities are reduced in particular in regions importing electric power at excessive prices. In addition, costs may be saved by rational energy utilization consisting above all in the application of dual-purpose power plants and by the rationalization of network infrastuctures. The study abstracted is part of a research project of the Federal Research Institute for Land Studies and Planning. The project is dealing with concepts of decentralized electric power supply and space heating. It adds to already existing related studies which deal above all with the basic problems of scheduling and planning the contents and inner structure of decentralized energy concepts.

  19. Production planning of combined heat and power plants with regards to electricity price spikes : A machine learning approach

    OpenAIRE

    Fransson, Nathalie

    2017-01-01

    District heating systems could help manage the expected increase of volatility on the Nordic electricity market by starting a combined heat and power production plant (CHP) instead of a heat only production plant when electricity prices are expected to be high. Fortum Värme is interested in adjusting the production planning of their district heating system more towards high electricity prices and in their system there is a peak load CHP unit that could be utilised for this purpose. The econom...

  20. 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

  1. 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...

  2. An impact assessment of electricity and emission allowances pricing in optimised expansion planning of power sector portfolios

    International Nuclear Information System (INIS)

    Tolis, Athanasios I.; Rentizelas, Athanasios A.

    2011-01-01

    Highlights: → The impact of electricity and CO 2 allowance pricing in power sector is researched. → A stochastic programming approach without recourse is used for the optimisation. → Higher electricity prices may be proportionally beneficial for the power system. → The CO 2 allowance prices may be inversely proportionate with the expected yields. → High CO 2 allowance prices are inhibitors for conventional technology projects. -- Abstract: The present work concerns a systematic investigation of power sector portfolios through discrete scenarios of electricity and CO 2 allowance prices. The analysis is performed for different prices, from regulated to completely deregulated markets, thus representing different electricity market policies. The modelling approach is based on a stochastic programming algorithm without recourse, used for the optimisation of power sector economics under multiple uncertainties. A sequential quadratic programming routine is applied for the entire investigation period whilst the time-dependent objective function is subject to various social and production constraints, usually confronted in power sectors. The analysis indicated the optimal capacity additions that should be annually ordered from each competitive technology in order to substantially improve both the economy and the sustainability of the system. It is confirmed that higher electricity prices lead to higher financial yields of power production, irrespective of the CO 2 allowance price level. Moreover, by following the proposed licensing planning, a medium-term reduction of CO 2 emissions per MW h by 30% might be possible. Interestingly, the combination of electricity prices subsidisation with high CO 2 allowance prices may provide favourable conditions for investors willing to engage on renewable energy markets.

  3. The impact of the new investments in combined cycle gas turbine power plants on the Italian electricity price

    International Nuclear Information System (INIS)

    Fontini, Fulvio; Paloscia, Lorenzo

    2007-01-01

    The paper measures the variation of the electricity price in Italy within the next 10 years due to the recent investment flow in combined cycle gas turbine (CCGT) power plants. It starts by investigating the possibility of decoupling gas and oil prices on the basis of hypotheses about the amount of existing resources and plausible technical substitutability assumptions of the latter with the former. In particular, it is supposed that, in the Italian market, natural gas will play a crucial role which oil has had in power generation. The price of electricity stemming from natural gas is then calculated taking into account the role of the power mix restructuring that derives from the CCGT power plants investments. Under reasonable assumptions, it is shown that a net reduction of at least 17% on the electric price is likely to be expected. (author)

  4. The Tripartite Game Model for Electricity Pricing in Consideration of the Power Quality

    Directory of Open Access Journals (Sweden)

    Tianlei Zang

    2017-12-01

    Full Text Available Under the Energy Internet concept the distribution and management of resources in the electricity market have been gradually transiting from a centralized pattern to a decentralized pattern. Correspondingly, the methodological model for the analysis of economic behaviors needs to be upgraded too. Based on the idea of non-cooperative game theory, this paper puts forward a tripartite game model for electricity pricing in consideration of the power quality, which is applicable to the electricity market under the Energy Internet with distributed generation, including the State Grid Corporation of China (SGCC, generating companies (GENCOs and the marketers which correspond to the regional power-retailing companies. Then, the sequential quadratic programming based on the quasi-Newton method is given to solve the game model. Finally, four sets of tests with different game factors are carried out to verify the validity and feasibility of the proposed model and algorithm. The SGCC price, the cost and the number of GENCOs and the cross-regional environment are considered in each test, respectively. The results show that this model can adapt well to the various conditions.

  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. Generating efficiency: The power of price caps in the public and private Spanish electricity sectors

    International Nuclear Information System (INIS)

    Arocena, P.; Price, C.W.

    1999-01-01

    Economic regulation of firms with market power has placed increasing emphasis on incentive-based regulation such as price caps. The move to such regulation often coincides with a change of ownership, making it difficult to separate the incentive effects. We focus on the effect of regulation alone by analysing the imposition of price cap type regulation on both publicly and privately owned Spanish electricity generators in 1988, several years before three was any change of ownership. Our initial results indicate that the publicly owned generators are generally more efficient than the private ones, but that the effect of price caps is to increase the efficiency of private sector plants faster than those in the public sector. We introduce two novelties into the analysis: we incorporate levels of CO2 and NOx emissions; and we include declared plant availability as an output. The outcome is dependent on the choice of inputs and outputs, and we argue that our measures are more appropriate than traditional measures for a system of central despatch for generators facing environmental constraints. (au) 37 refs

  7. 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.

  8. Pricing offshore wind power

    International Nuclear Information System (INIS)

    Levitt, Andrew C.; Kempton, Willett; Smith, Aaron P.; Musial, Walt; Firestone, Jeremy

    2011-01-01

    Offshore wind offers a very large clean power resource, but electricity from the first US offshore wind contracts is costlier than current regional wholesale electricity prices. To better understand the factors that drive these costs, we develop a pro-forma cash flow model to calculate two results: the levelized cost of energy, and the breakeven price required for financial viability. We then determine input values based on our analysis of capital markets and of 35 operating and planned projects in Europe, China, and the United States. The model is run for a range of inputs appropriate to US policies, electricity markets, and capital markets to assess how changes in policy incentives, project inputs, and financial structure affect the breakeven price of offshore wind power. The model and documentation are made publicly available. - Highlights: → We calculate the Breakeven Price (BP) required to deploy offshore wind plants. → We determine values for cost drivers and review incentives structures in the US. → We develop 3 scenarios using today's technology but varying in industry experience. → BP differs widely by Cost Scenario; relative policy effectiveness varies by stage. → The low-range BP is below regional market values in the Northeast United States.

  9. 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)

  10. Investments and price formation in a liberalized electric power market. Appendices; Investering og prisdannelse pae et liberaliseret elmarked. Bilag

    Energy Technology Data Exchange (ETDEWEB)

    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. The appendix volume of the project report contains detailed descriptions of the three models that are used: the Balmorel model, the investment model, and the MARS model. The Balmorel model is a partial equilibrium model that describes a coherent, international electric power system and combined heat and power system. The model was developed in 2000 through international co-operation with the aim to have a model for analysing international aspects in the Baltic area. The investment model analyses and models the investment decisions in a liberalized Nordic electric power market. It is an exogenous model constructed outside the Balmorel model but uses the price pictures from the Balmorel model as input. MARS (MARket Simulation) is Eltra's (a Danish electric power transmission company) market model for simulating prices, production, demand and exchanges in the power market. The model covers the Nordic countries (Nord Pool) and Northern Germany. (LN)

  11. 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....

  12. 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

  13. Modeling prices of wholesale market of electric energy and power by the example of the UPS of the Ural

    Directory of Open Access Journals (Sweden)

    Mokhov V.G.

    2017-01-01

    Full Text Available The article oversees forecasting model for deviations of the balancing market index and day-ahead market index according to the maximum similarity sample for different levels of approximation in the context of positive and negative time-series value. The model was being tested on the factual data of the Integrated Power system of the Ural, Wholesale market for electricity and power of Russian Federation. Describes the price formation on the day-ahead market and the balancing market index. The necessity to use accurate forecasting methods consumption and prices of electrical energy and power to reduce penalties when the electric power industry entities on the energy exchange. The testing of mathematical models to predict the balancing market index deviations and day-ahead market based on a sample of maximum similarity with certain approximation equations for positive and negative values gave the prediction error of 3.3%.

  14. 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 ...

  15. The impact of wind power on APX day-ahead electricity prices in the Netherlands VVM-Intermittency project

    Energy Technology Data Exchange (ETDEWEB)

    Nieuwenhout, F.D.J. [ECN Policy Studies, Amsterdam (Netherlands); Brand, A.J. [ECN Wind Energy, Petten (Netherlands)

    2013-02-15

    A detailed analysis was conducted to assess to what extent availability of wind energy has influenced day-ahead electricity prices in the Netherlands over the period 2006-2009. With a meteorological model, time series of day-ahead wind forecasts were generated, and these were compared with APX-ENDEX day-ahead market prices. Wind energy contributes to only 4% of electricity generation in the Netherlands, but was found to depress average day-ahead market prices by about 5%. With the help of the bid curves on the APX-ENDEX day-ahead market for 2009, a model was developed to assess the impact of increasing levels of wind generation on power prices in the Netherlands. One of the main findings is that the future impact on prices will be less than in the past. With an increase of installed wind capacity from 2200 MW to 6000 MW, average day-ahead prices are expected to be depressed by an additional 6% in case no additional conventional generation is assumed. Taking into account existing government policy on wind and ongoing investments in new conventional power plants, prices in 2016 will be only 3% lower.

  16. The price of electricity from private power producers: Stage 2, Expansion of sample and preliminary statistical analysis

    Energy Technology Data Exchange (ETDEWEB)

    Comnes, G.A.; Belden, T.N.; Kahn, E.P.

    1995-02-01

    The market for long-term bulk power is becoming increasingly competitive and mature. Given that many privately developed power projects have been or are being developed in the US, it is possible to begin to evaluate the performance of the market by analyzing its revealed prices. Using a consistent method, this paper presents levelized contract prices for a sample of privately developed US generation properties. The sample includes 26 projects with a total capacity of 6,354 MW. Contracts are described in terms of their choice of technology, choice of fuel, treatment of fuel price risk, geographic location, dispatchability, expected dispatch niche, and size. The contract price analysis shows that gas technologies clearly stand out as the most attractive. At an 80% capacity factor, coal projects have an average 20-year levelized price of $0.092/kWh, whereas natural gas combined cycle and/or cogeneration projects have an average price of $0.069/kWh. Within each technology type subsample, however, there is considerable variation. Prices for natural gas combustion turbines and one wind project are also presented. A preliminary statistical analysis is conducted to understand the relationship between price and four categories of explanatory factors including product heterogeneity, geographic heterogeneity, economic and technological change, and other buyer attributes (including avoided costs). Because of residual price variation, we are unable to accept the hypothesis that electricity is a homogeneous product. Instead, the analysis indicates that buyer value still plays an important role in the determination of price for competitively-acquired electricity.

  17. The European electricity market. What are the effects of market power on prices and the environment? Keywords: Electricity market; liberalisation; market power; game theory; environmental impacts; Northwestern Europe

    International Nuclear Information System (INIS)

    Lise, W.

    2005-07-01

    This paper presents a static computational game theoretic COMPETES model. This model is used to study the economic and environmental effects of the liberalisation of the European electricity market. The COMPETES model takes strategic interaction into account. The model is calibrated to four European countries: Belgium, France, Germany and the Netherlands. To analyse the impact of emission trading, a fixed permit price per tonne CO2 emissions is introduced. The effects are studied under different market structures depending on the ability of firms to exercise market power. The results indicate that the effects of liberalisation depend on the resulting market structure, while a reduction in market power of large producers may be beneficial for the consumer (i.e. lower prices), this is not necessarily true for the environment (i.e. lower reduction in CO2 emissions)

  18. Investments and price formation in a liberalized electric power market; Investering og prisdannelse pae et liberaliseret elmarked

    Energy Technology Data Exchange (ETDEWEB)

    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

  19. 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.)

  20. 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

  1. 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...

  2. A carbon floor price for the electric power sector: which consequences? Policy Brief nr 2015-03

    International Nuclear Information System (INIS)

    Trotignon, Raphael; Solier, Boris; Perthuis, Christian de

    2015-11-01

    As France envisages to introduce a carbon floor price (raised from 8 to 30 euros) for the electricity sector like it has been the case in the UK since 2013, such a measure would not result in CO_2 emission reductions, but in emission transfers between actors. The authors comments and analyse the possible consequences of such a measure. By using the ZEPHYR model, they discuss the consequences on the European ETS and on the western European electric power market. They notably briefly comment the impact of a price of 30 euros per CO_2 ton on the emissions by the electricity sector in France, Germany, the UK and Poland, and more particularly of French emissions in 2013 and 2014

  3. Is Power Production Flexibility a Substitute for Storability? Evidence from Electricity Futures Prices

    NARCIS (Netherlands)

    M. Kilic (Mehtap); R. Huisman (Ronald)

    2010-01-01

    textabstractElectricity 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

  4. 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...

  5. 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...

  6. 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.

  7. Water constraints on European power supply under climate change: impacts on electricity prices

    NARCIS (Netherlands)

    Vliet, van M.T.H.; Vögele, S.; Rübbelke, D.

    2013-01-01

    Recent warm, dry summers showed the vulnerability of the European power sector to low water availability and high river temperatures. Climate change is likely to impact electricity supply, in terms of both water availability for hydropower generation and cooling water usage for thermoelectric power

  8. Revisiting short-term price and volatility dynamics in day-ahead electricity markets with rising wind power

    International Nuclear Information System (INIS)

    Li, Yuanjing

    2015-01-01

    This paper revisits the short-term price and volatility dynamics in day-ahead electricity markets in consideration of an increasing share of wind power, using an example of the Nord Pool day-ahead market and the Danish wind generation. To do so, a GARCH process is applied, and market coupling and the counterbalance effect of hydropower in the Scandinavian countries are additionally accounted for. As results, we found that wind generation weakly dampens spot prices with an elasticity of 0.008 and also reduces price volatility with an elasticity of 0.02 in the Nordic day-ahead market. The results shed lights on the importance of market coupling and interactions between wind power and hydropower in the Nordic system through cross-border exchanges, which play an essential role in price stabilization. Additionally, an EGARCH specification confirms an asymmetric influence of the price innovations, whereby negative shocks produce larger volatility in the Nordic spot market. While considering heavy tails in error distributions can improve model fits significantly, the EGARCH model outperforms the GARCH model on forecast evaluations. (author)

  9. 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

  10. 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.

  11. Analysing the impact of renewable electricity support schemes on power prices: The case of wind electricity in Spain

    Energy Technology Data Exchange (ETDEWEB)

    Saenz de Miera, Gonzalo [Department of Public Economics, Universidad Autonoma de Madrid, Campus de Cantoblanco, Madrid 28049 (Spain); del Rio Gonzalez, Pablo [Institute for Public Policies, Centro de Ciencias Humanas y Sociales, CSIC, C/Albasanz 26-28, 28037 Madrid (Spain); Vizcaino, Ignacio [Iberdrola, C/Tomas Redondo, 1, Madrid 28033 (Spain)

    2008-09-15

    It is sometimes argued that renewables are 'expensive'. However, although it is generally true that the private costs of renewable electricity generation are certainly above those of conventional electricity, that statement fails to consider the social benefits provided by electricity from renewable energy sources (RES-E), including environmental and socioeconomic ones. This paper empirically analyses an additional albeit usually neglected benefit: the reduction in the wholesale price of electricity as a result of more RES-E generation being fed into the grid. The case of wind generation in Spain shows that this reduction is greater than the increase in the costs for the consumers arising from the RES-E support scheme (the feed-in tariffs), which are charged to the final consumer. Therefore, a net reduction in the retail electricity price results, which is positive from a consumer point of view. This provides an additional argument for RES-E support and contradicts one of the usual arguments against RES-E deployment: the excessive burden on the consumer. (author)

  12. Analysing the impact of renewable electricity support schemes on power prices: The case of wind electricity in Spain

    International Nuclear Information System (INIS)

    Saenz de Miera, Gonzalo; Rio Gonzalez, Pablo del; Vizcaino, Ignacio

    2008-01-01

    It is sometimes argued that renewables are 'expensive'. However, although it is generally true that the private costs of renewable electricity generation are certainly above those of conventional electricity, that statement fails to consider the social benefits provided by electricity from renewable energy sources (RES-E), including environmental and socioeconomic ones. This paper empirically analyses an additional albeit usually neglected benefit: the reduction in the wholesale price of electricity as a result of more RES-E generation being fed into the grid. The case of wind generation in Spain shows that this reduction is greater than the increase in the costs for the consumers arising from the RES-E support scheme (the feed-in tariffs), which are charged to the final consumer. Therefore, a net reduction in the retail electricity price results, which is positive from a consumer point of view. This provides an additional argument for RES-E support and contradicts one of the usual arguments against RES-E deployment: the excessive burden on the consumer

  13. Consequences of long-term power outages and high electricity prices lasting for months

    International Nuclear Information System (INIS)

    2005-01-01

    Several areas in the world have experienced electricity outages for longer periods of time, but the consequences of these are sparsely documented. There is a need for further analysis of the socioeconomic consequences of the outages. In addition to KILE (Quality adjusted revenue framework for un supplied energy) costs one has to take into account that the costs often increase proportionally with the durance of the outage, and that KILE tariffs do not reflect lost consumer's surplus for products that are not produced during an outage. A good example is the public underground transport, where the company's economical loss can be significantly smaller than the loss of utility value for the travellers. If the authorities act with reasonability it is difficult to see that periods with very high prices represent a big problem. The most important problems are related to diffused effects, especially for households with a weak economy. These problems can be solved with improved contractual forms (price guarantees) or by transfers to the households, without weakening the incentives for electricity economising (ml)

  14. 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

  15. Evaluation on Influence of Unstable Primary-Energy Price in a Deregulated Electric Power Market—Analysis based on a simulation model approach—

    Science.gov (United States)

    Maitani, Tatsuyuki; Tezuka, Tetsuo

    The electric power market of Japan has been locally monopolized for a long time. But, like many countries, Japan is moving forward with the deregulation of its electric power industry so that any power generation company could sell electric power in the market. The power price, however, will fluctuate inevitably to balance the power supply and demand. A new appropriate market design is indispensable when introducing new market mechanisms in the electric power market to avoid undesirable results of the market. The first stage of deregulation will be the competition between an existing large-scaled power utility and a new power generation company. In this paper we have investigated the wholesale market with competition of these two power companies based on a simulation model approach. Under the competitive situation the effects of exogenous disturbance may bring serious results and we estimated the influence on the market when the price of fossil fuel rises. The conclusion of this study is that several types of Nash equilibriums have been found in the market: the larger the new power generation company becomes, the higher the electricity price under the Nash equilibriums rises. Because of the difference in their structure of generation capacity, the existing large-scaled power utility gets more profit while the new power generation company loses its profit when the price of fossil fuel rises.

  16. 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.)

  17. A framework for cost-based pricing of transmission and ancillary services in competitive electric power markets

    International Nuclear Information System (INIS)

    Zobian, A.; Ilic, M.D.

    1995-01-01

    In this paper the authors propose a framework for accurate cost determination and pricing of transmission and ancillary services in competitive electric power markets. The proposed framework is based on their anticipation of the evolving environment and industry structure. They envision the future as a competitive energy market with a centralized control entity that coordinates system activities, prices transmission and ancillary services and controls various system resources. This control entity has control over a certain (pre-defined) geographical area. It is proposed that the system operation and control be kept as they are currently done in control centers, no major change in these functions is required for the proposed pricing strategy. The pricing strategy is divided into two main classes based on time scale separation and firmness, short and long term, firm and interruptible contracts. The approach is based on superposition of different transaction on the network, and a three-part tariff design. The charges are directly related to the impact of each transaction on the system

  18. 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

  19. Nodal price volatility reduction and reliability enhancement of restructured power systems considering demand-price elasticity

    International Nuclear Information System (INIS)

    Goel, L.; Wu, Qiuwei; Wang, Peng

    2008-01-01

    With the development of restructured power systems, the conventional 'same for all customers' electricity price is getting replaced by nodal prices. Electricity prices will fluctuate with time and nodes. In restructured power systems, electricity demands will interact mutually with prices. Customers may shift some of their electricity consumption from time slots of high electricity prices to those of low electricity prices if there is a commensurate price incentive. The demand side load shift will influence nodal prices in return. This interaction between demand and price can be depicted using demand-price elasticity. This paper proposes an evaluation technique incorporating the impact of the demand-price elasticity on nodal prices, system reliability and nodal reliabilities of restructured power systems. In this technique, demand and price correlations are represented using the demand-price elasticity matrix which consists of self/cross-elasticity coefficients. Nodal prices are determined using optimal power flow (OPF). The OPF and customer damage functions (CDFs) are combined in the proposed reliability evaluation technique to assess the reliability enhancement of restructured power systems considering demand-price elasticity. The IEEE reliability test system (RTS) is simulated to illustrate the developed techniques. The simulation results show that demand-price elasticity reduces the nodal price volatility and improves both the system reliability and nodal reliabilities of restructured power systems. Demand-price elasticity can therefore be utilized as a possible efficient tool to reduce price volatility and to enhance the reliability of restructured power systems. (author)

  20. The impact of power market structure on the pass-through of CO2 emissions trading costs to electricity prices. A theoretical approach

    International Nuclear Information System (INIS)

    Sijm, J.; Chen, Yihsu; Hobbs, B.F.

    2009-06-01

    This paper analyses the impact of power market structure on the pass-through rate (PTR) of CO2 emissions trading costs on electricity prices from a theoretical point of view, including graphical illustrations and mathematical proofs. Market structure refers in particular to the number of firms active in the market as well as to the shape of the power demand and supply curves. In addition, it analyses the impact of other power market related factors on the PTR of carbon costs to electricity prices, notably the impact of ET-induced changes in the merit order of power generation technologies or the impact of pursuing other market strategies besides maximising generators' profits, such as maximising market shares or sales revenues of power companies. It shows that each of these factors can have a significant impact on the rate of passing-through carbon costs to electricity prices

  1. The impact of power market structure on CO2 cost pass-through to electricity prices under quantity competition. A theoretical approach

    International Nuclear Information System (INIS)

    Sijm, J.; Chen, Y.; Hobbs, B.F.

    2012-01-01

    We present a theoretical analysis of the impact of power market structure on the pass-through rate (PTR) of CO2 emissions trading (ET) costs on electricity prices. Market structure refers in particular to the number of firms active in the market and the intensity of oligopolistic competition as measured by the conjectural variation, as well as to the functional form of the power demand and supply curves. In addition, we analyse briefly the impact of other power market-related factors on the PTR of carbon costs to electricity prices. These include in particular the impact of ET-induced changes in the merit order of power generation technologies and the impact of pursuing other market strategies besides maximising generator profit, such as maximising market shares or sales revenues of power companies. Each of these factors can have a significant impact on the rate of passing-through carbon costs to electricity prices.

  2. The impact of power market structure on the pass-through of CO2 emissions trading costs to electricity prices. A theoretical approach

    Energy Technology Data Exchange (ETDEWEB)

    Sijm, J. [ECN Policy Studies, Petten (Netherlands); Chen, Yihsu [Merced School of Engineering, University of California, Merced, CA (United States); Hobbs, B.F. [Department of Geography and Environmental Engineering, Johns Hopkins University, Baltimore, Maryland (United States)

    2009-06-15

    This paper analyses the impact of power market structure on the pass-through rate (PTR) of CO2 emissions trading costs on electricity prices from a theoretical point of view, including graphical illustrations and mathematical proofs. Market structure refers in particular to the number of firms active in the market as well as to the shape of the power demand and supply curves. In addition, it analyses the impact of other power market related factors on the PTR of carbon costs to electricity prices, notably the impact of ET-induced changes in the merit order of power generation technologies or the impact of pursuing other market strategies besides maximising generators' profits, such as maximising market shares or sales revenues of power companies. It shows that each of these factors can have a significant impact on the rate of passing-through carbon costs to electricity prices.

  3. 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)

  4. Electric power: the liberalization effects

    International Nuclear Information System (INIS)

    Carpentier, J.

    1999-01-01

    Nine months after the beginning of the deregulation of electric power markets in Europe, the first effects are being felt: fall of prices, amalgamation of electric power companies, development of new technologies and unemployment. (O.M.)

  5. Electric power conservation in Brazil

    International Nuclear Information System (INIS)

    Hollanda, J.B. de

    1989-01-01

    The Brazilian Electric Power Conservation Program (PROCEL) is discussed. The main objective of this program is the optimization of electric power use, including consideration about prices, technology development and legislation. (M.V.M.)

  6. Spatial equilibrium energy prices: a proposal for trade in electric power under deregulation and privatization of the generation sector

    International Nuclear Information System (INIS)

    Mukherjee, S.

    1992-01-01

    The concept of spatial equilibrium prices for electricity is presented based on incremental generating costs and transmission costs between major generating and load centers, which may be individual generators, utilities or countries. The equilibrium price changes in time and space, with the important property that these prices, if used for trading of electricity, results in all loads being served at minimal total cost. A network modeling approach for determining optimal operation of an interconnected system of utilities and independent generators simultaneously calculates these equilibrium prices. The methodology determines optimal generation by each utility, transactions between them, and the flows in the transmission network. 11 refs., 3 figs

  7. Seasonal variation of prices of sugar cane, ethanol and electric power; Variacao estacional dos precos da cana-de-acucar, alcool combustivel e energia eletrica

    Energy Technology Data Exchange (ETDEWEB)

    Melo, Carmem Ozana de; Silva, Gerson Henrique da; Bueno, Osmar de Carvalho [Universidade Estadual Paulista Julio de Mesquita Filho (UNESP), Botucatu, SP (Brazil); Esperancini, Maura Seiko Tsutsui [Universidade Estadual do Oeste do Parana (UNIOESTE), Francisco Beltrao, PR (Brazil)

    2010-07-01

    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)

  8. 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.

  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. Income distribution impacts of changes in Western Area Power Administration electricity prices. Final report

    Energy Technology Data Exchange (ETDEWEB)

    Rose, A.; Frias, O. [Pennsylvania State Univ., University Park, PA (United States). Dept. of Mineral Economics

    1993-06-01

    The purpose of this report is to present the methodology and results of an analysis of income distribution impacts associated with changes in the Western Area Power Administration (WAPA) marketing program. The focus will be on the distribution of personal income across eleven brackets in each of nine sub-regions of the WAPA market area. Moreover, these results will be translated into an assessment of the number of people who stand to gain or lose as a result of the policies and the size of these income changes. Most economic impact analyses are performed at an aggregate level. The results are typically presented in terms of net benefits, or a listing of changes in employment, output, income, or prices. What is neglected is the distribution of impacts across the affected population. These distributional impacts are important for several reasons. First, there is the normative judgmental issue of distributional justice, or equity. This addresses concerns about income disparities in general, or whether the poor, or any other group, are shouldering a disproportionate share of any burden or are failing to share significantly in any gain.

  11. Using genetic algorithms to determine near-optimal pricing, investment and operating strategies in the electric power industry

    Science.gov (United States)

    Wu, Dongjun

    Network industries have technologies characterized by a spatial hierarchy, the "network," with capital-intensive interconnections and time-dependent, capacity-limited flows of products and services through the network to customers. This dissertation studies service pricing, investment and business operating strategies for the electric power network. First-best solutions for a variety of pricing and investment problems have been studied. The evaluation of genetic algorithms (GA, which are methods based on the idea of natural evolution) as a primary means of solving complicated network problems, both w.r.t. pricing: as well as w.r.t. investment and other operating decisions, has been conducted. New constraint-handling techniques in GAs have been studied and tested. The actual application of such constraint-handling techniques in solving practical non-linear optimization problems has been tested on several complex network design problems with encouraging initial results. Genetic algorithms provide solutions that are feasible and close to optimal when the optimal solution is know; in some instances, the near-optimal solutions for small problems by the proposed GA approach can only be tested by pushing the limits of currently available non-linear optimization software. The performance is far better than several commercially available GA programs, which are generally inadequate in solving any of the problems studied in this dissertation, primarily because of their poor handling of constraints. Genetic algorithms, if carefully designed, seem very promising in solving difficult problems which are intractable by traditional analytic methods.

  12. 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

  13. 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

  14. How do electricity consumption excluding power intensive manufacturing, react on changes in the spot price?; Hvordan reagerer stroemforbruket i alminnelig forsyning paa endringer i spotpris?

    Energy Technology Data Exchange (ETDEWEB)

    Holstad, Magne; Pettersen, Finn Erik L.

    2011-05-15

    The purpose of this report is to analyse how electricity consumption excluding power intensive manufacturing will react on changes in the spot price on the basis of monthly data of the period 1996-2010 and an econometric error correction model. General consumption accounts for approximately 70 percent of the total net consumption of electricity in Norway. Households, services and other manufacturing than the power intensive account for the majority of this consumption. In order to estimate the net effect of the spot price on general electricity consumption, it is important to control for other variables that also affect the consumption. Since much of the electricity in general consumption is used for heating, one obvious and important explanatory variable is temperature. In addition to electricity price and temperature we assume that general consumption also depends on economic activity, price on light heating oil, the share of working days in the current month and a summer holiday dummy. In the consumption equation price can not be considered as an exogenous explanatory variable, since consumption affects price and vice versa. Hence, we have added a price equation that can be considered as an inverted supply equation. Both the consumption and the supply equation are specified dynamically in order to allow for slow adjustment of supply and consumption. The two equations of the model are estimated by two stage least square (2SLS). Full information maximum likelihood (FIML) is the most efficient estimation method in large samples, but a crucial assumption for consistent FIML-estimation is that the disturbance terms are normally distributed. A Jarque-Bera test of the error terms does not support this assumption in our data. R2 in the consumption equation is high. 96 per cent of the variation in the relative change in consumption is explained. In the price equation R2 is considerably lower. We find that if the spot price for Norway increases by 1 percent from one month

  15. 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.

  16. 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

  17. 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

  18. 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

  19. 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.

  20. 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 ...

  1. Real-time Pricing in Power Markets

    DEFF Research Database (Denmark)

    Boom, Anette; Schwenen, Sebastian

    We examine welfare e ects of real-time pricing in electricity markets. Before stochastic energy demand is known, competitive retailers contract with nal consumers who exogenously do not have real-time meters. After demand is realized, two electricity generators compete in a uniform price auction...... to satisfy demand from retailers acting on behalf of subscribed customers and from consumers with real-time meters. Increasing the number of consumers on real-time pricing does not always increase welfare since risk-averse consumers dislike uncertain and high prices arising through market power...

  2. Real-time Pricing in Power Markets

    DEFF Research Database (Denmark)

    Boom, Anette; Schwenen, Sebastian

    We examine welfare eects of real-time pricing in electricity markets. Before stochastic energy demand is known, competitive retailers contract with nal consumers who exogenously do not have real-time meters. After demand is realized, two electricity generators compete in a uniform price auction...... to satisfy demand from retailers acting on behalf of subscribed customers and from consumers with real-time meters. Increasing the number of consumers on real-time pricing does not always increase welfare since risk-averse consumers dislike uncertain and high prices arising through market power...

  3. Electric power in Canada 1992

    International Nuclear Information System (INIS)

    1993-01-01

    Electric power in Canada is given a comprehensive review by the Electricity Branch of the Department of Natural Resources Canada. The Electric Power Industry is scrutinized for electricity consumption, generation, trade and pricing across all of Canada. 98 tabs. 26 figs

  4. Electric power in Canada 1992

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1994-12-31

    Electric power in Canada is given a comprehensive review by the Electricity Branch of the Department of Natural Resources Canada. The Electric Power Industry is scrutinized for electricity consumption, generation, trade and pricing across all of Canada. 98 tabs. 26 figs.

  5. 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.

  6. Competitive situation at the market for power generation. Convergence of the wholesale electricity prices; Wettbewerbssituation auf dem Stromerzeugungsmarkt. Konvergenz der Grosshandelsstrompreise

    Energy Technology Data Exchange (ETDEWEB)

    Schiffer, Hans-Wilhelm [RWE AG, Essen (Germany). Allgemeine Wirtschaftspolitik und Wissenschaft

    2013-11-01

    With the creation of a cross-border market for electricity in the European Union, since the year 1998 the world's largest power supply area develops which is subject to a common pricing. Furthermore, there exist major differences between the EU countries both in terms of the energy mix as well as with respect to the market structure.

  7. 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)

  8. Does the use of nuclear power lead to lower electricity prices? An analysis of the debate in Germany with an international perspective

    International Nuclear Information System (INIS)

    Nestle, Uwe

    2012-01-01

    There is an ongoing discussion if it is reasonable to start using nuclear energy, to extend its use, or what effects its phase out could have. In July 2011, four months after the nuclear accidents in Japan, Germany decided to return to the policy of phasing out nuclear energy step by step until 2022. This policy was already decided upon in 2000. With this, a decision made some nine months earlier was taken back. In fall 2010, the government and Parliament had approved the extension of the operating lives of its nuclear plants by at least 14 years. One reason was the expected effect on the electricity price, which was said to be lower with extended nuclear plant life spans. However, there is an ongoing debate on this argument, not only in Germany. This article presents a critical survey of the core arguments brought forward in favour of expected future price cuts. It is shown that the theoretical electricity market models used in these exercises are not adequate to reliably predict such effects. Furthermore, evidence is presented suggesting that extending nuclear plant life spans or the commissioning of new reactors in other countries is unlikely to curb domestic electricity prices. - Highlights: ► The effect of nuclear policy and the share of nuclear power is discussed and analysed. ► Reliability of findings of complex theoretical electricity market models is discussed. ► Pro nuclear policy strengthens oligopoly-like structures, which might raise prices. ► Different studies analysing power prices vs. share of nuclear power are displayed. ► Changing the share of nuclear power does not have a relevant influence on power price.

  9. 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 ...

  10. 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...

  11. 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

  12. The impact of power market reforms on electricity price-cost margins and cross-subsidy levels: A cross country panel data analysis

    International Nuclear Information System (INIS)

    Erdogdu, Erkan

    2011-01-01

    One of the main expectations from power market reform has been a reduction in both price-cost margins and cross-subsidy levels between industrial and residential consumers. This paper focuses on this issue by looking at the impact of the electricity industry reforms on residential and industrial electricity price-cost margins and their effect on cross-subsidy levels between consumer groups. Using panel data for 63 developed and developing countries covering the period 1982-2009, empirical models are developed and analyzed. The research findings suggest that there is no uniform pattern for the impact of reform process as a whole on price-cost margins and cross-subsidy levels. Each individual reform step has different impact on price-cost margins and cross-subsidy levels for each consumer and country group. Our findings imply that reform steps have different impacts in different countries, which supports the idea reform prescription for a specific country cannot easily and successfully be transferred to another one. So, transferring the formal and economic structure of a successful power market in a developed country to developing countries is not a sufficient condition for good economic performance of the electricity industries in developing countries. Furthermore, the study suggests that power consumption, income level and country-specific features constitute other important determinants of electricity price-cost margins and cross-subsidy levels. - Research highlights: → The paper focuses on the impact of power market reforms on price-cost margins and cross-subsidy levels. → Using panel data for 63 countries for the period 1982-2009, empirical models are developed and analyzed. → We found that each individual reform step has different impact for each consumer and country group. → We conclude that reform prescription for a specific country cannot easily be transferred to another one.

  13. Forecasting short-term power prices in the Ontario Electricity Market (OEM) with a fuzzy logic based inference system

    International Nuclear Information System (INIS)

    Arciniegas, Alvaro I.; Arciniegas Rueda, Ismael E.

    2008-01-01

    The Ontario Electricity Market (OEM), which opened in May 2002, is relatively new and is still under change. In addition, the bidding strategies of the participants are such that the relationships between price and fundamentals are non-linear and dynamic. The lack of market maturity and high complexity hinders the use of traditional statistical methodologies (e.g., regression analysis) for price forecasting. Therefore, a flexible model is needed to achieve good forecasting in OEM. This paper uses a Takagi-Sugeno-Kang (TSK) fuzzy inference system in forecasting the one-day-ahead real-time peak price of the OEM. The forecasting results of TSK are compared with those obtained by traditional statistical and neural network based forecasting. The comparison suggests that TSK has considerable value in forecasting one-day-ahead peak price in OEM. (author)

  14. Inducing low-carbon investment in the electric power industry through a price floor for emissions trading

    International Nuclear Information System (INIS)

    Brauneis, Alexander; Mestel, Roland; Palan, Stefan

    2013-01-01

    Uncertainty about long-term climate policy is a major driving force in the evolution of the carbon market price. Since this price enters the investment decision process of regulated firms, this uncertainty increases the cost of capital for investors and might deter investments into new technologies at the company level. We apply a real options-based approach to assess the impact of climate change policy in the form of a constant or growing price floor on investment decisions of a single firm in a competitive environment. This firm has the opportunity to switch from a high-carbon “dirty” technology to a low-carbon “clean” technology. Using Monte Carlo simulation and dynamic programming techniques for real data, we determine the optimal CO 2 price floor level and growth rate in order to induce investments into the low-carbon technology. We find that a carbon price floor can be used to induce earlier low-carbon technology investment and show this result to be robust to a large variety of input parameter settings. - Highlights: ► We model the investment decision of an electricity generating company. ► The company can invest in low and high carbon technologies. ► We investigate different carbon price floor designs. ► A carbon price floor leads to earlier investment into low-carbon technology.

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  1. Deregulated power prices: comparison of volatility

    International Nuclear Information System (INIS)

    Li Ying; Flynn, P.C.

    2004-01-01

    We examine electrical power price variability for 14 deregulated markets. Power price volatility is measured by price velocity, the daily average of the absolute value of price change per hour. Deregulated markets show a wide variability in price velocity. Some price velocity is expected and arises from the daily diurnal price pattern, which differs significantly between markets. Even when the expected daily variability in price is removed, the residual unexpected variability differs between markets. Some deregulated markets, most notably Britain and Spain, show patterns that are predictable and consistent and have low values of unexpected price velocity. These markets create a climate conducive to consumers facing the market through real time pricing and shaping consumption behaviors in response to price changes. Other markets, for example, South Australia and Alberta, have patterns that are inconsistent and irregular, and hence are hard for a customer to interpret; a customer in such a market will have a higher incentive to avoid demand side management and escape risk through hedging mechanisms

  2. 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.

  3. 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

  4. Carbon Pricing, Power Markets and the Competitiveness of Nuclear Power

    International Nuclear Information System (INIS)

    2011-01-01

    This study assesses the competitiveness of nuclear power against coal- and gas-fired power generation in liberalized electricity markets with either CO 2 trading or carbon taxes. It uses daily price data for electricity, gas, coal and carbon from 2005 to 2010, which encompasses the first years of the European Emissions Trading System (EU ETS), the world's foremost carbon trading framework. The study shows that even with modest carbon pricing, competition for new investment in electricity markets will take place between nuclear energy and gas-fired power generation, with coal-fired power struggling to be profitable. The data and analyses contained in this study provide a robust framework for assessing cost and investment issues in liberalized electricity markets with carbon pricing. (authors)

  5. 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

  6. What are the economic and social effects from the electric power beneficiary price of the largest consumers

    International Nuclear Information System (INIS)

    Bogov, Dimitar

    2003-01-01

    In the last few years the two largest consumers of electricity 'Feni' and 'Jugohrom', were sold to the foreign strategic investor. The key issue in the negotiations with the investor was the price of electricity for these companies. The final outcome is known, they got beneficiary price. Now two questions emerge: (1) what is the exact size of the under pricing? (2) what are the economic and social effects of their activity and whether the social gain for the country is higher than the loss for the country from the under pricing of electricity. The paper is trying to give an answer on the second question. Therewith, the analyze is focused on two issues: (1) how much is the contribution of these two companies on production, export and economic growth of the Republic of Macedonia; (2) what is their impact on the living standard and social costs. Macedonian industry has very unfavorable structure with only a few export products. Restructuring of industry and widening of the array of products is a slow process. Until new products and new industries are developed, the only generator of larger export and higher economic growth is the increase of the export of existing products. 'Feni industry' and 'Silmak' are some of rare Macedonian companies that have foreign strategic investor who provide stable and unlimited market (having in mind that Macedonian production is relatively small compared to the world demand for nickel and ferro silicium). Thus, the growth of export of metals produced by 'Feni industry' and 'Silmak' could be the principal generators of the growth of Macedonian economy in the period of restructuring of the industry and development of new competitive products. (Original)

  7. Deregulated power prices: comparison of diurnal patterns

    International Nuclear Information System (INIS)

    Ying Li; Flynn, P.C.

    2004-01-01

    We examine electrical power price, and in particular its daily and average weekday vs. weekend pattern of change, for 14 deregulated markets. Power price in deregulated markets shows fundamentally different patterns. North American markets show a monotonic diurnal weekday price pattern, while all other markets studied show more than one price peak. Deregulated power markets differ in maximum vs. minimum daily average price and in average weekday to weekend price, in turn creating a different incentive for a consumer to time shift power consuming activities. Markets differ in the extent to which a small fraction of the days shapes the average diurnal pattern and value of price. Deregulated markets show a wide variation in the correlation between load and price. Some deregulated markets, most notably Britain and Spain, show patterns that are predictable and consistent, and hence that can encourage a customer to shape consumption behaviors. Other markets, for example South Australia, have patterns that are inconsistent and irregular, and hence are hard for a customer to interpret; a customer in such a market will have a higher incentive to escape risk through hedging mechanisms. (Author)

  8. Deregulated power prices: comparison of diurnal patterns

    International Nuclear Information System (INIS)

    Li Ying; Flynn, Peter C.

    2004-01-01

    We examine electrical power price, and in particular its daily and average weekday vs. weekend pattern of change, for 14 deregulated markets. Power price in deregulated markets shows fundamentally different patterns. North American markets show a monotonic diurnal weekday price pattern, while all other markets studied show more than one price peak. Deregulated power markets differ in maximum vs. minimum daily average price and in average weekday to weekend price, in turn creating a different incentive for a consumer to time shift power consuming activities. Markets differ in the extent to which a small fraction of the days shapes the average diurnal pattern and value of price. Deregulated markets show a wide variation in the correlation between load and price. Some deregulated markets, most notably Britain and Spain, show patterns that are predictable and consistent, and hence that can encourage a customer to shape consumption behaviors. Other markets, for example South Australia, have patterns that are inconsistent and irregular, and hence are hard for a customer to interpret; a customer in such a market will have a higher incentive to escape risk through hedging mechanisms

  9. The Nordic electric power market. A study of the market characteristics, price factors and the competitive environment of the Nordic power market

    International Nuclear Information System (INIS)

    Keskikallio, J.; Lindholm, J.

    2003-06-01

    The market price of power depends on the balance between energy supply and demand. This balance depends on several external factors: the hydrological situation, temperature, time, fuel prices and exchange rates, transmission capacity and congestion, business cycles, other weather-related factors (wind, sun etc.) There are interdependencies between the factors, but the greatest price effects are caused by changes in the hydrological situation (affects energy supply) and temperature (affects mainly demand). Transmission capacity is normally sufficient, especially between Sweden and Finland. When congestion occurs, the price effects may be drastic, due to differences between the countries in the energy production mix. Price areas with several other bordering price areas (Oslo) have the lowest price level. The Helsinki area has the highest price level over time. Congestion is more frequent between southern Sweden and Norway, which accounts for a major part of the difference between the Helsinki area price and the system price. Market concentration is very high in separate price areas, but only moderate for the Nordic market as a whole. Congestion automatically leads to a highly concentrated sub-market. Further market concentration should be avoided, and congestion management should be improved in order to ensure a functioning market. Our findings also included the fact that although power producers have increased their profits since the deregulation of the market, there were no conclusive evidence of market power abuse. A continued trend toward higher profits may change the situation in the future, as the possibility to take advantage of market power already exists. Transmission System Operators (TSO's) have a crucial role for ensuring a functioning power market. As the actions of the TSO may have adverse effects, they should be continuously monitored and subject to much tighter scrutiny than 'ordinary' energy companies. Issues have arisen from the TSO's trading of

  10. 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)

  11. Coordination of Nordic system operators in the electric power market - profit from improved capacity utilization and a more flexible division into price zones

    International Nuclear Information System (INIS)

    Bjoerndal, Mette; Joernsten, Kurt

    2001-08-01

    This report evaluates the possible profits of establishing a common system operator function in the Nordic electric power market. The main focus is placed on how to deal with congestion in the transmission grid. To estimate possible profits from a better utilization of the resources in the Nordic grid, the authors have analyzed socio-economic profits for several load scenarios. A simplified model of the Nordic stock area was used in the calculations. The existence of two methods of dealing with congestion in the grid may lead to reduced capacity utilization and to greater price differences than necessary. The examples show that ''indirect'' congestion control may be very expensive and that considerable cost reduction can be achieved by improved exploitation of congestion. This implies that if the Nordic area is divided into price zones, it is advantageous to regard the grid as an entity independent of national borders and system operators and to let the real transmission limitations determine the price zoning

  12. 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.

  13. 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)

  14. 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

  15. Electric power in Canada 1993

    International Nuclear Information System (INIS)

    1994-01-01

    The electric power industry in Canada in 1993 is reviewed. Items discussed include: the international context of Canadian electricity; regulatory structures; electricity and the environment; electricity consumption; electricity generation; generating capacity and reserve; electricity trade; transmission; electric utility investment and financing; costing and pricing; electricity outlook; demand-side management; and non-utility generation. Appended information is presented on installed capacity and electrical energy consumption in Canada, installed generating capacity, conventional thermal capacity by principal fuel type, provincial electricity imports and exports, Canadian electricity exports by exporter and importer, generation capacity by type, installed generating capacity expansion in Canada by station, federal environmental standards and guidelines, and prices paid by major electric utilities for non-utility generation. 23 figs., 95 tabs

  16. Electric power in Canada 1992

    International Nuclear Information System (INIS)

    1993-01-01

    The electric power industry in Canada in 1991 is reviewed. Items discussed include: the international context of Canadian electricity; regulatory structures; electricity and the environment; electricity consumption; electricity generation; generating capacity and reserve; electricity trade; transmission; electric utility investment and financing; costing and pricing; electricity outlook; demand-side management; and non-utility generation. Appended information is presented on installed capacity and electrical energy consumption in Canada, installed generating capacity, conventional thermal capacity by principal fuel type, provincial electricity imports and exports, Canadian electricity exports by exporter and importer, generation capacity by type, installed generating capacity expansion in Canada by station, federal environmental standards and guidelines, and prices paid by major electric utilities for non-utility generation. 26 figs., 90 tabs

  17. Electric power in Canada 1993

    International Nuclear Information System (INIS)

    1994-01-01

    The electric power industry in Canada in 1993 is reviewed. Items discussed include: the international context of Canadian electricity; regulatory structures; electricity and the environment; electricity consumption; electricity generation; generating capacity and reserve; electricity trade; transmission; electric utility investment and financing; costing and pricing; electricity outlook; demand-side management; and non-utility generation. Information is appended on installed capacity and electrical energy consumption in Canada, installed generating capacity, conventional thermal capacity by principal fuel type, provincial electricity imports and exports, Canadian electricity exports by exporter and importer, generation capacity by type, installed generating capacity expansion in Canada by station, federal environmental standards and guidelines, and prices paid by major electric utilities for non-utility generation. 26 figs., 90 tabs

  18. 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.

  19. The effects of the evolution of fuel prices and the environmental regulations on the producers of electric power based on fossil fuel

    International Nuclear Information System (INIS)

    Balasoiu, Constantin; Alecu, Sorin

    2006-01-01

    The production of electric power in the context of the concept of human society's lasting development is influenced in the recent years by a series of external factors, both circumstantial and derived from internal and international regulations. This work proposes a theoretical analysis of additional costs induced by the evolution of fuel prices as well as of the short, medium and long term environmental restrictions for the producers of lignite based electric power in Romania. To this purpose, the authors have considered as theoretical elements of analysis, a 330 MW functioning power station, working entirely on lignite GEL (70% expenses on fuel) with a production cost of 40 Euros/MWh at a 70% degree of usage capacity and 36 Euros/MWh at 100%. The paper addresses the following items: 1. The periods of analysis and the influential factors; 2. The evaluation of additional costs for the observance of EU Directive 2001/80/EC; 3. The evaluation of additional costs induced by the stipulations of the Kyoto Protocol; 4. The evaluation of additional costs induced by the evolution of the price of the fuel. In conclusion accumulating all the influences described in the chapters of this material, the impact in the rise of production costs for the described lignite based power plant is summarized by taking into account: the impact of CO 2 emissions; the impact Directive 2001/80/EC; the impact of the fuel price; the total rise. One can notice, that the biggest influence on the additional production costs comes from the impact of CO 2 emissions, in the outlook of the integration in the EU ETS, which depends on: 1) The way in which the National Allocation Plan for the allowances of CO 2 emissions is made in the power sector. The higher D utl.ref is, the stronger will be their place on the market. 2) The evolution of the price of CO 2 emissions on the EU ETS

  20. 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.

  1. 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...

  2. Mathematical modelling and optimization of a large-scale combined cooling, heat, and power system that incorporates unit changeover and time-of-use electricity price

    International Nuclear Information System (INIS)

    Zhu, Qiannan; Luo, Xianglong; Zhang, Bingjian; Chen, Ying

    2017-01-01

    Highlights: • We propose a novel superstructure for the design and optimization of LSCCHP. • A multi-objective multi-period MINLP model is formulated. • The unit start-up cost and time-of-use electricity prices are involved. • Unit size discretization strategy is proposed to linearize the original MINLP model. • A case study is elaborated to demonstrate the effectiveness of the proposed method. - Abstract: Building energy systems, particularly large public ones, are major energy consumers and pollutant emission contributors. In this study, a superstructure of large-scale combined cooling, heat, and power system is constructed. The off-design unit, economic cost, and CO_2 emission models are also formulated. Moreover, a multi-objective mixed integer nonlinear programming model is formulated for the simultaneous system synthesis, technology selection, unit sizing, and operation optimization of large-scale combined cooling, heat, and power system. Time-of-use electricity price and unit changeover cost are incorporated into the problem model. The economic objective is to minimize the total annual cost, which comprises the operation and investment costs of large-scale combined cooling, heat, and power system. The environmental objective is to minimize the annual global CO_2 emission of large-scale combined cooling, heat, and power system. The augmented ε–constraint method is applied to achieve the Pareto frontier of the design configuration, thereby reflecting the set of solutions that represent optimal trade-offs between the economic and environmental objectives. Sensitivity analysis is conducted to reflect the impact of natural gas price on the combined cooling, heat, and power system. The synthesis and design of combined cooling, heat, and power system for an airport in China is studied to test the proposed synthesis and design methodology. The Pareto curve of multi-objective optimization shows that the total annual cost varies from 102.53 to 94.59 M

  3. Is College Pricing Power Pro-Cyclical?

    Science.gov (United States)

    Altringer, Levi; Summers, Jeffrey

    2015-01-01

    We define pricing power as a college's ability to increase its net tuition revenue by raising its sticker-price for tuition. The greater is the positive effect of sticker-price increases on net tuition revenue, the greater is the pricing power. We gauge variation in the pricing power of private, non-profit baccalaureate colleges by estimating this…

  4. Power purchase prices for wind power IPPs (independent power producers) in Western Europe

    International Nuclear Information System (INIS)

    Kummert, C.

    1995-01-01

    In a number of European countries, renewable energy installations, especially wind turbines, are supported by paying high prices for their electricity. A survey of pricing practice should not be limited to an international comparison of price levels, however. The terms under which prices are fixed are important criteria for the assessment of costs and cost effectiveness of wind power projects. The conditions for electricity supply by independent wind power operators in Western Europe are therefore surveyed here. A comparison of the price levels is also shown. (author)

  5. 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....

  6. 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.

  7. 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%

  8. Swiss electrical power association

    International Nuclear Information System (INIS)

    1983-01-01

    Milestones of electrical power development in Switzerland during 1982 are quoted. An energy balance is shown for the utilisation of 864,630 terajoules of primary energy. This is related to global data on per capita power consumption. In the electricity generation section, annual load factors are given for the four nuclear stations. A brief review is made of hydro potential and monthly export/import figures for power to other countries (mostly export, especially in summer). Total electrical power output grew about 1.3% in the last year. Recent transmission line developments are noted, mostly 2x380kV, and including a link with Austria. In the financial section, consumer price indices are quoted for liquid and solid fuel, gas and electricity since 1966. Under administration, details are listed of the main and about 18 supporting Committees and working groups with special functions (e.g. tariffs, electrical vehicles). Public relations have included nuclear power press conferences, a mobile video unit, information leaflets for the media and a teaching seminar. (G.C.)

  9. 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

  10. 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.

  11. 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)

  12. 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....

  13. The merit-order effect in the Italian power market: The impact of solar and wind generation on national wholesale electricity prices

    International Nuclear Information System (INIS)

    Clò, Stefano; Cataldi, Alessandra; Zoppoli, Pietro

    2015-01-01

    Italy promoted one of the most generous renewable support schemes worldwide which resulted in a high increase of solar power generation. We analyze the Italian day-ahead wholesale electricity market, finding empirical evidence of the merit-order effect. Over the period 2005–2013 an increase of 1 GWh in the hourly average of daily production from solar and wind sources has, on average, reduced wholesale electricity prices by respectively 2.3€/MWh and 4.2€/MWh and has amplified their volatility. The impact on prices has decreased over time in correspondence with the increase in solar and wind electricity production. We estimate that, over the period 2009–2013, solar production has generated higher monetary savings than wind production, mainly because the former is more prominent than the latter. However, in the solar case, monetary savings are not sufficient to compensate the cost of the related supporting schemes which are entirely internalized within end-user tariffs, causing a reduction of the consumer surplus, while the opposite occurs in the case of wind. - Highlights: • We find empirical evidence of the merit-order effect in the Italian market. • 1 GWh from solar and wind (hourly average) reduces prices by 2.3€/MW and 4.2€/MWh. • The impact of RES on price has declined as RES production has increased. • Monetary savings from solar production do not compensate the cost of the incentives. • Monetary savings from wind production are higher than the cost of the incentives

  14. An essay pertaining to the supply and price of natural gas as fuel for electric utilities and independent power producers; and, the related growth of non-utility generators to meet capacity shortfalls in the next decade

    International Nuclear Information System (INIS)

    Clements, J.R.

    1990-01-01

    This paper addresses the impact natural gas and petroleum prices have on how the electric power industry decides to meet increasing demand for electric power. The topics of the paper include the pricing impact of the Iraq-Kuwait conflict, the BTU parity argument, electric utility capacity shortfalls in 1993, the growth of the non-utility generator and the independent power developer market, natural gas as the desired fuel of the decade, the financial strategy in acquiring natural gas reserves, the cost and availability of natural gas supplies for non-utility generators, and the reluctance of the gas producers to enter long term contracts

  15. 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.

  16. 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)

  17. Photovoltaic power: the inadequate purchase price

    International Nuclear Information System (INIS)

    Finon, D.

    2009-01-01

    The current policy of guaranteed purchase prices applied to photovoltaic power lacks rationality: prices are not graduated, commitment times are too long, there is no capping to capacity developed, subsidies (tax credit, direct subsidy, etc) are complex and give too favourable a return time. The lack of differentiation between products may also delay the emergence of new PV technologies. As a result, it is legitimate to envisage a cost/benefit analysis of future subsidies and to wonder about Frances ability, as a second rank player, to catch up with the leaders (Germany, Japan, United States). The report does not criticize policy based on purchase prices in itself: this is suitable or technology close to commercial operation in that it guarantees stable terms close to wholesale electricity market prices. It does, however, criticize adequacy in terms of less advanced PV technology, which results in purchase prices five times that of wind power. The report proposes re-targeting the system to take account of the significant stakes in PV power. Costly incentives for installing land PV cells and units should be quickly reduced, while industrial demonstration budgets deserve increases to further the development of new technologies (improved crystal silicon and thin layers). The demonstration phase and industrial development should be the primary focus, where a large part of potentially promising reductions in costs are likely to be achieved. (author)

  18. An optimal power-dispatching system using neural networks for the electrochemical process of zinc depending on varying prices of electricity.

    Science.gov (United States)

    Yang, Chunhua; Deconinck, G; Gui, Weihua; Li, Yonggang

    2002-01-01

    Depending on varying prices of electricity, an optimal power-dispatching system (OPDS) is developed to minimize the cost of power consumption in the electrochemical process of zinc (EPZ). Due to the complexity of the EPZ, the main factors influencing the power consumption are determined by qualitative analysis, and a series of conditional experiments is conducted to acquire sufficient data, then two backpropagation neural networks are used to describe these relationships quantitatively. An equivalent Hopfield neural network is constructed to solve the optimization problem where a penalty function is introduced into the network energy function so as to meet the equality constraints, and inequality constraints are removed by alteration of the Sigmoid function. This OPDS was put into service in a smeltery in 1998. The cost of power consumption has decreased significantly, the total electrical energy consumption is reduced, and it is also beneficial to balancing the load of the power grid. The actual results show the effectiveness of the OPDS. This paper introduces a successful industrial application and mainly presents how to utilize neural networks to solve particular problems for the real world.

  19. Carbon pricing and the competitiveness of nuclear power

    International Nuclear Information System (INIS)

    Keppler, J.H.; Marcantonini, C.

    2011-01-01

    A recent NEA study entitled Carbon Pricing, Power Markets and the Competitiveness of Nuclear Energy assesses the competitiveness of nuclear power against coal- and gas-fired power generation in liberalised electricity markets with either CO 2 trading or carbon taxes. It uses daily price data for electricity, gas, coal and carbon from 2005 to 2010, which encompasses the first years of the European Emissions Trading System (EU ETS), the world's foremost carbon trading framework. The study shows that even with modest carbon pricing, competition for new investment in electricity markets will take place between nuclear energy and gas-fired power generation, with coal-fired power struggling to be profitable. The data and analyses contained in the study provide a robust framework for assessing cost and investment issues in liberalised electricity markets with carbon pricing, even in the post-Fukushima context. A summary of the publication main elements is provided in this paper

  20. 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

  1. 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

  2. Electric power in Canada, 1990

    International Nuclear Information System (INIS)

    1991-01-01

    This report reviews the structure of the electric power industry in Canada, describes the regulatory structures that are in place, and puts the Canadian electricity industry into an international context. It presents statistics on electricity generation and consumption, imports and exports, transmission, costs and pricing, and financing. It forecasts anticipated energy demands, generating capacity and actual generation, exports, fuel requirements, and expenditures. The impacts of demand-side management and non-utility generation are discussed. (82 tabs., 23 figs.)

  3. Electric power in Canada, 1989

    International Nuclear Information System (INIS)

    1991-01-01

    This report reviews the structure of the electric power industry in Canada, describes the regulatory structures that are in place, and puts the Canadian electricity industry into an international context. It presents statistics on electricity generation and consumption, imports and exports, transmission, costs and pricing, and financing. It forecasts anticipated energy demands, generating capacity and actual generation, exports, fuel requirements, and expenditures. The impacts of demand-side management and non-utility generation are discussed. (78 tabs., 27 figs.)

  4. 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...

  5. Research on the pricing system of online nuclear power

    International Nuclear Information System (INIS)

    Xu Dan

    2010-01-01

    National Development and Reform Commission Issues 'Long-term Nuclear Power Development Plan (2005-2020)' in October, 2007. It is the milestone for great development of the nuclear power plant. By the end of the first half of 2009, the nuclear power companies, mainly leading by CNNC and CGNPC, are busy in expanding the new project investment scale of the nuclear power. They gradually initialize the enormous nuclear investment in Zhejiang, Liaoning, Shandong, Guangxi Province and some other place. Along with the development of the nuclear plant and the reformation of the electricity price, the online electricity price of the nuclear power plant will likely be revised. How long will the price policy of 'One to one price' for each type of plant be hold? How will the online electricity price be set in the future? What kind of theories will be followed in the new pricing policy? And what kind of influence will it have on the operating and constructing nuclear power plants? All these will be the problem to the nuclear power plant. There are a lot of uncertainties in front of the nuclear power enterprise in the future. The article analyzes the cost structure of the nuclear power enterprise. Based on the price theory of the market economy, and after benchmarking with the coal power and some other industries, the article studies the future pricing policy of the nuclear power enterprise. And the article analyzes the future management risk of the nuclear power enterprise after the pricing policy reformation. And through the management improvement, the nuclear power company could response effectively to the price regulation, and minimize the uncertainty caused by the pricing policy reformation to the enterprise operation and management. (author)

  6. 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)

  7. 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

  8. 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...

  9. 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

  10. 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)

  11. 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

  12. Electric power statistics from independence to establishment

    International Nuclear Information System (INIS)

    1997-02-01

    This paper reports power statistics from independence to establishment pf KEPIC. It has the lists of electricity industry, electric equipment on the whole country power equipment at the independence and development of power facility, power generation about merit of power plants, demand according to types and use, power loss, charge for electric power distribution, power generation and generating cost, financial lists on income measurement and financing, meteorological phenomena and amount of rainfall electric power development, international statistics on major countries power generation and compare power rates with general price.

  13. 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)

  14. 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...

  15. 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

  16. 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.

  17. 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

  18. 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

  19. 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

  20. 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...

  1. 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

  2. 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.

  3. Power transmission pricing: issues and international experience

    International Nuclear Information System (INIS)

    Bodenhoefer, H.J.; Wohlgemuth, N.

    2001-01-01

    A key aspect of electricity industry reorganization is transmission pricing because it heavily influences the degree of effective competition in 'liberalized' electricity markets. this paper presents an overview transmission pricing models, of issues related to an effective design of a transmission pricing approach, and presents approaches implemented internationally. A conclusion is that, due to the great number of institutional designs of electricity market organizations, particularly in Europe, it will be difficult to design/implement a model of cross-border transmission pricing that is capable of inducing a high degree of non-discriminatory international competition in electricity markets. (author)

  4. 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

  5. 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.

  6. 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

  7. 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...

  8. Electric Power Regulation in Mexico

    Energy Technology Data Exchange (ETDEWEB)

    Landa, J V [Universidad Nacional Autonoma de Mexico, Mexico City (Mexico)

    1994-12-31

    The history of the electrical power sector in Mexico, the prominent role that government plays in the generation, transformation, distribution and supply of electrical power, and the implications of the North American Free Trade Agreement (NAFTA) for this sector were summarized. The slow pace of the Mexican electricity sector in achieving cost efficiency through pricing policy was criticized, and the issue of regulation versus deregulation of the electricity sector was examined in the context of NAFTA, emphasizing the contradiction between the idea of international trade and a highly regulated industry. Revisions of the original constitutional article to exclude electrical power generation from governmental control and to allow market mechanisms and competition to lower costs and increase efficiency was recommended.It was considered a pre-condition to a stable balance between competition and energy efficient environmentally friendly practices.

  9. 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)

  10. 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...

  11. 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

  12. 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.

  13. 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)

  14. 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

  15. 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.)

  16. 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

  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. Landgericht Stuttgart condemns power price boycotters to payment

    International Nuclear Information System (INIS)

    Anon.

    1981-01-01

    With its judgment of 18th December 1980 - 10 0 164/80 - the LG Stuttgart has condemned an electricity customer who, being an opponent of nuclear energy, had been keeping back ten per cent of the power price and transfering this amount to a trust account to the payment of the arrears. A public utility company cooperating with a nuclear power plant and supplying its customers with electric power from this npp had submitted its claim. (orig./HP) [de

  19. Determination of the Regulatory Asset Base of power distribution companies. Background report of 'Guidelines for price cap regulation in the Dutch electricity sector'

    International Nuclear Information System (INIS)

    Tjin, T.; Buitelaar, T.

    2000-02-01

    July 1999 The Netherlands Electricity Regulatory Service (DtE) published an Information and Consultation Document on the subject of 'Price Cap Regulation in the Dutch Electricity Sector'. By means of price cap regulation tariffs are determined such that businesses are stimulated continuously to organize their total processes and operation as efficient as possible. In the consultation document a large number of questions with respect to the future organization and planning of the system of economic regulation of the electricity sector in the Netherlands can be found. Many reactions and answers were received, compiled and analyzed. The results are presented in the main report, which forms the framework for the DtE to shape the economic regulation of the Dutch electricity sector. In this background document attention is paid to a method to determine the Regulatory Asset Base (RAB)

  20. 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)

  1. 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...

  2. 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....

  3. 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.

  4. 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.

  5. Real-time control of power systems using nodal prices

    NARCIS (Netherlands)

    Jokic, A.; Lazar, M.; Bosch, van den P.P.J.

    2009-01-01

    This article presents a novel control scheme for achieving optimal power balancing and congestion management in electrical power systems via nodal prices. We develop a dynamic controller that guarantees economically optimal steady-state operation while respecting all line flow constraints in

  6. 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

  7. The nuclear power implications of OPEC prices

    International Nuclear Information System (INIS)

    Brookes, L.G.

    1975-01-01

    It is generally assumed - not unreasonably - that quadrupling oil prices offers a great opportunity to nuclear power and that installation rates should now be much than if prices had stayed down. It is argued that this view is too facile: the effect of raised oil prices on Western economies is complex and longlasting; nuclear power prospects are at least as likely to be depressed as enhanced - unless more weight is given to long-term strategic factors. (author)

  8. 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

  9. Electric Power Transmission Lines

    Data.gov (United States)

    Department of Homeland Security — Transmission Lines are the system of structures, wires, insulators and associated hardware that carry electric energy from one point to another in an electric power...

  10. Market based solutions for power pricing

    International Nuclear Information System (INIS)

    Wangensteen, Ivar

    2002-06-01

    The report examines how the price for effect reserves, spot market power and regulated power is formed provided ideal market conditions rule. Primarily the price determining factors in a market for power reserves are examined and how the connection between this market and the energy market (the spot market) is. In a free market there would be a balance between what the actors may obtain by operating in the open market for power reserves/regulated power on the one hand and the market for spot power on the other. Primarily we suppose that the desired amount of power reserve is known. Secondly the problem constellation is extended to comprise the size of the effect reserves i.e. the optimising of the requirement to the power reserves. The optimal amount of power reserves is obtained when there is a balance between the cost and the benefit. This optimal balance is achieved when expected macro economical loss due to outfacing balances against the cost of maintaining larger reserves. By using a simple model it is demonstrated that a system operator regulates the maximal price in the regulated market and this equals the rationing price. The actors will offer sufficient reserves even if the reserve price is zero (provided risk neutrality). If the maximal price for regulated power is lower the price of effect reserves will rise. Based on the same simple model calculations are made for how short and long term market balance will be for increasing demands

  11. Shipboard electrical power systems

    CERN Document Server

    Patel, Mukund R

    2011-01-01

    Shipboard Electrical Power Systems addresses new developments in this growing field. Focused on the trend toward electrification to power commercial shipping, naval, and passenger vessels, this book helps new or experienced engineers master cutting-edge methods for power system design, control, protection, and economic use of power. Provides Basic Transferable Skills for Managing Electrical Power on Ships or on LandThis groundbreaking book is the first volume of its kind to illustrate optimization of all aspects of shipboard electrical power systems. Applying author Mukund Patel's rare combina

  12. Cost and prices of electricity. Fossil fuels, nuclear power and renewable energy sources in comparison; Kosten und Preise fuer Strom. Fossile, Atomstrom und Erneuerbare Energien im Vergleich

    Energy Technology Data Exchange (ETDEWEB)

    Muehlenhoff, Joerg

    2011-09-15

    Consumers of electricity pay for production, transport and distribution as well as for taxes and dues. Electricity rates depend on various influencing factors, e.g. different fuel and capital cost of the power plants and the ratio of supply and demand in the electricity stock markets. End user electricity rats also include taxes and dues as well as the cost of power transmission. The publication presents background information on the formation of electricity rates in Germany. In a second step, the different cost factors of fossil fuels, nuclear power and renewable energy sources are compared. In particular, the external cost is gone into which often tends to be neglected in the electricity markets.

  13. 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.

  14. 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

  15. Electric power annual, 1990

    International Nuclear Information System (INIS)

    1992-01-01

    The Electric Power Annual presents a summary of electric utility statistics at the national, regional and State levels. The objective of the publication is to provide industry decisionmakers, government policy-makers, analysts and the general public with historical data that may be used in understanding US electricity markets. ''The Industry at a Glance'' section presents a profile of the electric power industry ownership and performance; a review of key statistics for the year; and projections for various aspects of the electric power industry through 2010. Subsequent sections present data on generating capability, including proposed capability additions; net generation; fossil-fuel statistics; electricity sales, revenue, and average revenue per kilowatthour sold; financial statistics; environmental statistics; and electric power transactions. In addition, appendices provide supplemental data on major disturbances and unusual occurrences. Each section contains related text and tables and refers the reader to the appropriate publication that contains more detailed data on the subject matter

  16. Driving with electrical power

    International Nuclear Information System (INIS)

    Ursin, M.; Hoeckel, M.

    2008-01-01

    This article takes a look at the chances offered to the electricity supply industry by the increasing use of battery-driven vehicles - and the advantages thus offered to the environment. The use of the vehicles' batteries to form a distributed electricity storage scheme is discussed. The authors comment that, although electrically-driven vehicles consume more power, the total primary energy consumption and pollutant emissions will be reduced. The actual electricity consumption of electric vehicles and the source of this power are examined. Power saved by the reduced use of electrical heating systems and boilers could, according to the authors, be used to charge the batteries of electric vehicles. The use of these batteries as a storage system to help regulate electricity supplies is discussed and the steps to be taken for the implementation of such a system are listed

  17. Energy, electricity and nuclear power

    International Nuclear Information System (INIS)

    Reuss, P.; Naudet, G.

    2008-01-01

    After an introduction recalling what energy is, the first part of this book presents the present day energy production and consumption and details more particularly the electricity 'vector' which is an almost perfect form of energy despite the fact that it is not a primary energy source: it must be generated from another energy source and no large scale storage of this energy is possible. The second part of the book is devoted to nuclear energy principles and to the related technologies. Content: 1 - What does energy mean?: the occurrence of the energy concept, the classical notion of energy, energy notion in modern physics, energy transformations, energy conservation, irreversibility of energy transformations, data and units used in the energy domain; 2 - energy production and consumption: energy systems, energy counting, reserves and potentialities of energy resources, production of primary energies, transport and storage of primary energies, energy consumption, energy saving, energy markets and prices, energy indicators; 3 - electric power: specificity of electricity and the electric system, power networks, power generation, electricity storage, power consumption and demand, power generation economics, electricity prices and market; 4 - physical principles of nuclear energy: nuclei structure and binding energy, radioactivity and nuclear reactions, nuclear reactions used in energy generation, basics of fission reactors physics; 5 - nuclear techniques: historical overview, main reactor types used today, perspectives; 6 - fuel cycle: general considerations, uranium mining, conversion, enrichment, fuel fabrication, back-end of the cycle, plutonium recycle in water cooled reactors; 7 - health and environmental aspects of nuclear energy: effects on ionizing radiations, basics of radiation protection, environmental impacts of nuclear energy, the nuclear wastes problem, specific risks; 8 - conclusion; 9 - appendixes (units, physics constants etc..)

  18. 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

  19. 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)

  20. 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.

  1. 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

  2. Electric power annual 1992

    Energy Technology Data Exchange (ETDEWEB)

    1994-01-06

    The Electric Power Annual presents a summary of electric utility statistics at national, regional and State levels. The objective of the publication is to provide industry decisionmakers, government policymakers, analysts and the general public with historical data that may be used in understanding US electricity markets. The Electric Power Annual is prepared by the Survey Management Division; Office of Coal, Nuclear, Electric and Alternate Fuels; Energy Information Administration (EIA); US Department of Energy. ``The US Electric Power Industry at a Glance`` section presents a profile of the electric power industry ownership and performance, and a review of key statistics for the year. Subsequent sections present data on generating capability, including proposed capability additions; net generation; fossil-fuel statistics; retail sales; revenue; financial statistics; environmental statistics; electric power transactions; demand-side management; and nonutility power producers. In addition, the appendices provide supplemental data on major disturbances and unusual occurrences in US electricity power systems. Each section contains related text and tables and refers the reader to the appropriate publication that contains more detailed data on the subject matter. Monetary values in this publication are expressed in nominal terms.

  3. Hydro to market green power at special prices

    International Nuclear Information System (INIS)

    McArthur, D.; Salaff, S.

    1996-01-01

    A 600 kW grid-connected demonstration wind turbine at Ontario Place will provide green power to Toronto residents early in 1997. The joint venture project partners include publicly owned Ontario Hydro, Toronto Hydro and Natural Resources Canada. The power will be sold at a premium under arrangements yet to be announced. The green power pricing initiative would allow some customers to buy their electricity at a green price. The project could be a self-financing model for future renewable energy development. The Ontario Place turbine project will determine whether Toronto electricity customers want green power or electricity from nuclear and fossil stations, and could determine which type of generation should be built in the future

  4. Reference costs of the electric power production

    International Nuclear Information System (INIS)

    2003-06-01

    This study periodically realized by the DGEMP aims to compare the competitiveness of the different channels of electric power production, for different utilization conditions. The first part ''reference costs of the 2003 electric power production'' examines the prices of the electric power produced by different channels in particular in the framework of the industrial implementing in 2015. The nuclear and thermal power plants are concerned. The second part is devoted to the decentralized production channels (wind energy, photovoltaic, cogeneration heat-electricity) is under construction and will be presented next year. (A.L.B.)

  5. 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...

  6. Pool Strategy of a Price-Maker Wind Power Producer

    DEFF Research Database (Denmark)

    Zugno, Marco; Morales González, Juan Miguel; Pinson, Pierre

    2013-01-01

    We consider the problem of a wind power producer trading energy in short-term electricity markets. The producer is a price-taker in the day-ahead market, but a price-maker in the balancing market, and aims at optimizing its expected revenues from these market floors. The problem is formulated...... or median forecast of wind power distribution. Finally, sensitivity analyses are carried out to assess the impact on the offering strategy of the producer's penetration in the market, of the correlation between wind power production and residual system deviation, and of the shape of the forecast...

  7. 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.

  8. 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...

  9. 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.

  10. Electric power generation

    International Nuclear Information System (INIS)

    Pinske, J.D.

    1981-01-01

    Apart from discussing some principles of power industry the present text deals with the different ways of electric power generation. Both the conventional methods of energy conversion in heating and water power stations and the facilities for utilizing regenerative energy sources (sun, wind, ground heat, tidal power) are considered. The script represents the essentials of the lecture of the same name which is offered to the students of the special subject 'electric power engineering' at the Fachhochschule Hamburg. It does not require any special preliminary knowledge except for the general principles of electrical engineering. It is addressing students of electrical engineering who have passed their preliminary examination at technical colleges and universities. Moreover, it shall also be of use for engineers who want to obtain a quick survey of the structure and the operating characteristics of the extremely different technical methods of power generation. (orig.) [de

  11. 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

  12. A market power model with price caps and compact DC power flow constraints

    Energy Technology Data Exchange (ETDEWEB)

    Zuwei Yu [Purdue University, West Lafayette, IN (United States). School of Industrial Engineering

    2003-05-01

    This paper presents a spatial gaming model with price caps for deregulated electricity markets. There has been heated debate on price caps that have been enforced in deregulated electricity markets. Opponents argue that price caps may send wrong economic signals while advocates argue that price caps are good for damping market power. This paper does not intend to take a stand in the argument. Given the fact that price caps are enforced in several deregulated regional electricity markets in the US, a logical step is to reflect this reality in gaining modeling. However, current gaining models have not included any price cap formulation. This paper is the first one to address the issue. DC power flow equations are used for representing the spatial nature of an electrical network. An algorithm is proposed to find a generalized Nash equilibrium under the enforcement of price caps based on the Kuhn-Tucker Vector Optimization Theorem. Case studies show the successful application of the model. The conclusion is that market power impact can be reduced under appropriate price caps. (author)

  13. Price signals in the power market

    International Nuclear Information System (INIS)

    2000-01-01

    Which price signals should be given to the players in the power market to promote a socio-economic power supply in the short term and the long term? In a model with perfect competition, without problems involving delivery quality, and with free scalable capacity in both transmission and production, price signals that reflect marginal losses and shortage of transmission capacity are all that is needed. Stepwise investments create a need for measures that are specific to the situation. Price signals reflecting delivery reliability are probably too weak today. Market power may create a need for greater transmission capacity, but gives no reason for new price signals. Tariffs that reduce installed capacity weakens delivery quality and increases the probability of market power

  14. Electric power: liberalization in half-measure

    International Nuclear Information System (INIS)

    Pradel, P.

    1996-01-01

    The European directive about the electric power liberalization concerns only big consumers. These manufacturers have privileged relations with E.D.F. for long years with a very attractive price for the kilowatt hour. The change should not be very important, only more transparency in accounts and change in tariffs of power transmission: for example, a small electric power producer will be authorized to contest the buying price that E.D.F. imposes to him to transport the energy he produces. (N.C.)

  15. Electric power annual, 1991

    International Nuclear Information System (INIS)

    1993-01-01

    The Electric Power Annual is prepared by the Survey Management Division; Office of Coal, Nuclear, Electric and Alternate Fuels; Energy Information Administration (EIA); US Department of Energy. The 1991 edition has been enhanced to include statistics on electric utility demand-side management and nonutility supply. ''The US Electric Power Industry at a Glance'' section presents a profile of the electric power industry ownership and performance, and a review of key statistics for the year. Subsequent sections present data on generating capability, including proposed capability additions; net generation; fossil-fuel statistics; electricity sales, revenue, and average revenue per kilowatthour sold; financial statistics; environmental statistics; electric power transactions; demand-side management; and nonutility power producers. In addition, the appendices provide supplemental data on major disturbances and unusual occurrences in US electricity power systems. Each section contains related text and tables and refers the reader to the appropriate publication that contains more detailed data on the subject matter. Monetary values in this publication are expressed in nominal terms

  16. Nuclear Power Plants and Uranium Prices

    Directory of Open Access Journals (Sweden)

    SERGHEI MĂRGULESCU

    2016-06-01

    Full Text Available The recent UN Climate Talks in Paris have put forward the goal of limiting the global temperature rise to two degrees Celsius by the end of the century. This is providing a strong political base for expanding the nuclear power capacity because of the critical role that nuclear power plants play in the production of electricity without emissions of greenhouse gases. In all, more than a dozen countries get over 25% of their energy from nuclear power, with 437 nuclear reactors operating around the world. On top of that, there are another 71 reactors under construction, 165 planned, and 315 proposed. Global uranium demand is expected to rise 40% by 2025 and 81% by 2035. Mined supply of uranium will struggle to keep pace amid rising demand and falling secondary supplies. A cumulative supply deficit is expected to emerge by 2021 while 2016 marks a huge inflection point for the industry, beeing the first year that demand will actually exceed supplies, creating a 60,000-tonne shortfall by 2018. Over the next 10 years, we're going to see uranium prices more than double while the bull run will begin in earnest in 2016.

  17. Power generation investment in electricity markets

    International Nuclear Information System (INIS)

    2003-01-01

    Most IEA countries are liberalizing their electricity markets, shifting the responsibility for financing new investment in power generation to private investors. No longer able to automatically pass on costs to consumers, and with future prices of electricity uncertain, investors face a much riskier environment for investment in electricity infrastructure. This report looks at how investors have responded to the need to internalize investment risk in power generation. While capital and total costs remain the parameters shaping investment choices, the value of technologies which can be installed quickly and operated flexibly is increasingly appreciated. Investors are also managing risk by greater use of contracting, by acquiring retail businesses, and through mergers with natural gas suppliers. While liberalization was supposed to limit government intervention in the electricity market, volatile electricity prices have put pressure on governments to intervene and limit such prices. This study looks at several cases of volatile prices in IEA countries' electricity markets, and finds that while market prices can be a sufficient incentive for new investment in peak capacity, government intervention into the market to limit prices may undermine such investment

  18. 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.

  19. Electric power substations engineering

    CERN Document Server

    McDonald, John D

    2012-01-01

    The use of electric power substations in generation, transmission, and distribution remains one of the most challenging and exciting areas of electric power engineering. Recent technological developments have had a tremendous impact on all aspects of substation design and operation. With 80% of its chapters completely revised and two brand-new chapters on energy storage and Smart Grids, Electric Power Substations Engineering, Third Edition provides an extensive updated overview of substations, serving as a reference and guide for both industry and academia. Contributors have written each chapt

  20. Electric cars as mobile power storage systems

    International Nuclear Information System (INIS)

    Herzog, B.

    2010-01-01

    This article discusses the use of electric cars as a means of optimising the use of renewable energy sources. Charging the cars' batteries during periods when cheap electricity prices prevail and then using excess capacity to supply the mains with electricity during periods of peak demand is discussed. The possible use of wind for power generation is discussed and a system proposed by a leading supplier of electrical apparatus and systems is examined. Two examples of electric cars and associated power chains are looked at and tests in everyday practice are described

  1. 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.

  2. 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.)

  3. 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

  4. Consequences of long-term power outages and high electricity prices lasting for months; Konsekvenser av langvarige stroemutfall og hoeye kraftpriser i flere maaneder

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2005-07-01

    Several areas in the world have experienced electricity outages for longer periods of time, but the consequences of these are sparsely documented. There is a need for further analysis of the socioeconomic consequences of the outages. In addition to KILE (Quality adjusted revenue framework for un supplied energy) costs one has to take into account that the costs often increase proportionally with the durance of the outage, and that KILE tariffs do not reflect lost consumer's surplus for products that are not produced during an outage. A good example is the public underground transport, where the company's economical loss can be significantly smaller than the loss of utility value for the travellers. If the authorities act with reasonability it is difficult to see that periods with very high prices represent a big problem. The most important problems are related to diffused effects, especially for households with a weak economy. These problems can be solved with improved contractual forms (price guarantees) or by transfers to the households, without weakening the incentives for electricity economising (ml)

  5. Electric power systems

    CERN Document Server

    Weedy, B M; Jenkins, N; Ekanayake, J B; Strbac, G

    2012-01-01

    The definitive textbook for Power Systems students, providing a grounding in essential power system theory while also focusing on practical power engineering applications. Electric Power Systems has been an essential book in power systems engineering for over thirty years. Bringing the content firmly up-to-date whilst still retaining the flavour of Weedy's extremely popular original, this Fifth Edition has been revised by experts Nick Jenkins, Janaka Ekanayake and Goran Strbac. This wide-ranging text still covers all of the fundamental power systems subjects but is now e

  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. Carbon price and wind power support in Denmark

    International Nuclear Information System (INIS)

    Gavard, Claire

    2016-01-01

    This paper aims at characterizing the conditions of wind power deployment in order to infer a carbon price level that would provide wind power with comparable advantage over fossil fuel technologies as effective wind support policies. The analysis is conducted on Denmark after the electricity market liberalization. Probit and tobit techniques are employed to take account of a potential threshold effect. I find that the level and type of the support policy are the dominant drivers of deployment. A feed-in tariff significantly brings more wind power in than a premium policy. The additional capacity installed monthly increases by more than 1 MW for each additional €/MWh of support. This is compared to the effect of the electricity price, investment cost, interest rate and general economic activity. If the policy is a premium, I find that 23€/MWh of support in addition to electricity price is needed to observe the connection of new turbines to the grid with a 0.5 probability. I convert this support level into a carbon price of 27€/ton if wind power competes with coal, and 48€/t if it competes with gas. - Highlights: •I analyze wind power development in Denmark between 2000 and 2010. •I use probit and tobit techniques to assess the determinants of this deployment. •The level and policy type of wind power support are the main drivers. •I deduct the critical level of premium needed to trigger wind power. •I convert this into an equivalent carbon price and I find that it is below 50€/ton.

  8. 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)

  9. Electric power distribution handbook

    CERN Document Server

    Short, Thomas Allen

    2014-01-01

    Of the ""big three"" components of electrical infrastructure, distribution typically gets the least attention. In fact, a thorough, up-to-date treatment of the subject hasn't been published in years, yet deregulation and technical changes have increased the need for better information. Filling this void, the Electric Power Distribution Handbook delivers comprehensive, cutting-edge coverage of the electrical aspects of power distribution systems. The first few chapters of this pragmatic guidebook focus on equipment-oriented information and applications such as choosing transformer connections,

  10. 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)

  11. 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)

  12. The electric power industry in Norway

    International Nuclear Information System (INIS)

    Baleo, J.N.; Anthoine, K.; Vallon, D.; Baleo, V.

    2003-03-01

    As more than 99% of the electric power in Norway come from the hydro energy, the climatic conditions influence the energy prices. Since 1996 and because of an increasing consumption, the country needs to import electric power from Sweden, Denmark, Finland and for a little part Russia. This report evaluates the today situation, the distribution and production sources, the regulations, the Government policy and the research programs concerning the ''classical energy sources'' and the renewable energies. (A.L.B.)

  13. 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.

  14. 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

  15. Electric power monthly

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1995-08-01

    The Energy Information Administration (EIA) prepares the Electric Power Monthly (EPM) for a wide audience including Congress, Federal and State agencies, the electric utility industry, and the general public. This publication provides monthly statistics for net generation, fossil fuel consumption and stocks, quantity and quality of fossil fuels, cost of fossil fuels, electricity sales, revenue, and average revenue per kilowatthour of electricity sold. Data on net generation, fuel consumption, fuel stocks, quantity and cost of fossil fuels are also displayed for the North American Electric Reliability Council (NERC) regions. The EIA publishes statistics in the EPM on net generation by energy source, consumption, stocks, quantity, quality, and cost of fossil fuels; and capability of new generating units by company and plant. The purpose of this publication is to provide energy decisionmakers with accurate and timely information that may be used in forming various perspectives on electric issues that lie ahead.

  16. 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...

  17. An options model for electric power markets

    International Nuclear Information System (INIS)

    Ghosh, Kanchan; Ramesh, V.C.

    1997-01-01

    The international electric utility industry is undergoing a radical transformation from an essentially regulated and monopolistic industry to an industry made uncertain with impending deregulation and the advent of competitive forces. This paper investigates the development of an options market for bulk power trading in a market setup while considering power system planning and operational constraints and/or requirements. In so doing it considers the different market based financial derivative instruments while can be used to trade electrical power in bulk and examines how established tools such as Optimal Power Flow (OPF) may be applied in helping to develop a price for bulk power transactions under a market based setup. (Author)

  18. 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

  19. 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....

  20. 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.

  1. Principles, effects and problems of differential power pricing policy for energy intensive industries in China

    International Nuclear Information System (INIS)

    Lin, Boqiang; Liu, Jianghua

    2011-01-01

    The Chinese government canceled the preferential power pricing policies for energy intensive industries and imposed a reverse differential pricing policy in order to promote energy efficiency and the adjustment and upgrading of the industrial structure. This article analyzes the principles of China's differential power pricing policy, the externalities of energy and the modified Ramsey pricing rule, and also points out the policy implications of China's differential power pricing policy. In our samples, we investigate eight power intensive products in the Henan province with respect to their power consumption per unit (power intensity), electricity cost, total cost, the electricity tariff and profit, in order to test the effects of the differential power pricing policy. The results show that the primary effect of the differential power pricing policy is that enterprises decrease their total costs and improve their productive efficiencies in advance, in anticipating a higher electricity tariff. -- Research highlights: → The article suggests a modified Ramsey pricing model where demand elasticity is replaced by elasticity of energy consumption and polluting elasticity to internalize the negative externality of high energy intensive industry. → The article assesses the effects of differential pricing policy through on-site survey of high energy intensive industries in Henan province and analyzes the reasons behind those effects. → The article presents the lessons and policy implications of implementing differential pricing policy aimed at energy conservation and emission reduction.

  2. 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...

  3. 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)

  4. Pricing power outages in the Netherlands

    NARCIS (Netherlands)

    Baarsma, B.E.; Hop, J.P.

    2009-01-01

    In most Western countries, the power grid provides electricity more than 99% of the time. To maintain reliability at such high levels, energy companies have to continually invest in electric transmission- and distribution systems. Since customers of electricity cannot switch from one distribution

  5. Electric power monthly

    Energy Technology Data Exchange (ETDEWEB)

    Smith, Sandra R.; Johnson, Melvin; McClevey, Kenneth; Calopedis, Stephen; Bolden, Deborah

    1992-05-01

    The Electric Power Monthly is prepared by the Survey Management Division; Office of Coal, Nuclear, Electric and Alternate Fuels, Energy Information Administration (EIA), Department of Energy. This publication provides monthly statistics at the national, Census division, and State levels for net generation, fuel consumption, fuel stocks, quantity and quality of fuel, cost of fuel, electricity sales, revenue, and average revenue per kilowatthour of electricity sold. Data on net generation, fuel consumption, fuel stocks, quantity and cost of fuel are also displayed for the North American Electric Reliability Council (NERC) regions. Additionally, statistics by company and plant are published in the EPM on capability of new plants, new generation, fuel consumption, fuel stocks, quantity and quality of fuel, and cost of fuel.

  6. 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)

  7. Electrical power cable engineering

    CERN Document Server

    Thue, William A

    2011-01-01

    Fully updated, Electrical Power Cable Engineering, Third Edition again concentrates on the remarkably complex design, application, and preparation methods required to terminate and splice cables. This latest addition to the CRC Press Power Engineering series covers cutting-edge methods for design, manufacture, installation, operation, and maintenance of reliable power cable systems. It is based largely on feedback from experienced university lecturers who have taught courses on these very concepts.The book emphasizes methods to optimize vital design and installation of power cables used in the

  8. 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.

  9. New electric power market

    International Nuclear Information System (INIS)

    Zorzoli, G.B.

    1992-01-01

    In a trend analysis of methods of energy production and use, this paper cites forecasted significant gains in efficiency through the use of combined cycles for heat and power production, and rapidly falling costs of solar and wind power plants. A technical/economic feasibility analysis is then performed on the future use of electric vehicles in Italy. Here, the paper cites the possible benefits in terms of energy conservation and air pollution abatement. A review is made of current progress in research efforts aimed at reducing electric battery sizing, weight and recharging constraints

  10. 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

  11. 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

  12. The Role of Nuclear Power in Reducing Risk of the Fossil Fuel Prices and Diversity of Electricity Generation in Tunisia: A Portfolio Approach

    Science.gov (United States)

    Abdelhamid, Mohamed Ben; Aloui, Chaker; Chaton, Corinne; Souissi, Jomâa

    2010-04-01

    This paper applies real options and mean-variance portfolio theories to analyze the electricity generation planning into presence of nuclear power plant for the Tunisian case. First, we analyze the choice between fossil fuel and nuclear production. A dynamic model is presented to illustrate the impact of fossil fuel cost uncertainty on the optimal timing to switch from gas to nuclear. Next, we use the portfolio theory to manage risk of the electricity generation portfolio and to determine the optimal fuel mix with the nuclear alternative. Based on portfolio theory, the results show that there is other optimal mix than the mix fixed for the Tunisian mix for the horizon 2010-2020, with lower cost for the same risk degree. In the presence of nuclear technology, we found that the optimal generating portfolio must include 13% of nuclear power technology share.

  13. The electric power sector in Iceland

    International Nuclear Information System (INIS)

    Ingimarsson, J.

    1992-01-01

    In Iceland the government must give permission for the building of a power station etc. but in practise the power plant administrators determine the tariffs. The structure of electric power supply mirrors a strong engagement on the part of the state and the local authorities. Almost all the power plants and distribution systems are state owned or owned by both the state and the local authorities, and so constitute a monopoly, producing 93% of the total amount of electricity supply. Government policy in this field, the Icelandic electric power distribution system and the setting of electricity prices are briefly described. It is claimed that there would be economical advantages in restructuring the distribution network and that the government favours an increase in possibilities for competition and making legislative changes. This will mean that in the future the market will play a more important role and that power plant administrators must review their duties regarding consumer satisfaction, tariffs etc. (AB)

  14. Nuclear power's effects on electric rate making

    International Nuclear Information System (INIS)

    Smith, D.S.; Lancaster, A.A.

    1978-01-01

    Government and the electric utility industry are re-evaluating nuclear power's contribution to the total U.S. energy supplies. This article addresses how the recently increased nuclear plant construction and operation costs are translated into the prices that consumers pay for electricity. The electric rates that consumers pay must reflect the costs of producing electricity, as well as the costs of transmission, distribution, metering, and billing. The use of nuclear power for electric production is anticipated to grow rapidly so as to meet a larger portion of our country's electricity needs through the end of the century; so nuclear power costs are expected to be an even larger portion of the total electricity price. There are certain rate-making issues that are actively being discussed in public forums and before state and Federal regulatory bodies. These issues are not unique to nuclear power, but take on added significance when nuclear power is used by utilities to produce electricity because of the technology required and because of the type, timing, and magnitude of the costs involved. These are: (1) inclusion of construction work in progress in the rate base; (2) fuel adjustment clauses and treatment of nuclear fuel cycle costs; (3) treatment of certain taxes under the rate-making method called normalization or deferral accounting (sometimes referred to as ''phantom taxes''); and (4) rate treatment for particular nuclear expense items reflecting costs of delays, plant cancellations, and operational slowdowns

  15. Independent power and cogeneration in Ontario's new competitive electricity market

    International Nuclear Information System (INIS)

    Barnstable, A.G.

    1999-01-01

    The factors influencing the initial market pricing in the early years of Ontario's new electricity market were discussed with particular insight on the potential for near term development of independent power and cogeneration. The major factors influencing prices include: (1) no increase in retail prices, (2) financial restructuring of Ontario Hydro, (3) the Market Power Mitigation Agreement, (4) tighter power plant emissions standards, and (5) an electricity supply and demand balance. Generation competition is not expected to influence market pricing in the early years of the new electricity market. Prices will instead reflect the restructuring decisions of the Ontario government. The decision to have Ontario Power Generation Inc. (OPGI) as a single generator for Ontario Hydro's generation assets will ensure that average spot market pricing in the early market years will be close to a 3.8 c/kWh revenue cap

  16. Wind electric power generation

    International Nuclear Information System (INIS)

    Koch, M.K.; Wind, L.; Canter, B.; Moeller, T.

    2001-01-01

    The monthly statistics of wind electric power generation in Denmark are compiled from information given by the owners of the private wind turbines. For each wind turbine the name of the site and of the type of turbine is given, and the power generation data are given for the month in question together with the total production in 1999 and 2000. Also the data of operation start are given. On the map of Denmark the sites of the wind turbines are marked. (CLS)

  17. Wind electric power generation

    International Nuclear Information System (INIS)

    Koch, M. K.; Wind, L.; Canter, B.; Moeller, T.

    2002-01-01

    The monthly statistics of wind electric power generation in Denmark are compiled from information given by the owners of the private wind turbines. For each wind turbine the name of the site and of the type of turbine is given, and the power generation data are given for the month in question together with the total production in 2000 and 2001. Also the data of operation start are given. On the map of Denmark the sites of the wind turbines are marked. (SM)

  18. 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.

  19. 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.

  20. 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)

  1. Market Prices in a Power Market with more than 50% Wind Power

    DEFF Research Database (Denmark)

    Skytte, Klaus; Grohnheit, Poul Erik

    2018-01-01

    Denmark has the highest proportion of wind power in the world. Wind power provided a world record of 39.1% of the total annual Danish electricity consumption in 2014 with as much as 51.7% in Western Denmark. Many would argue that the present power markets are not designed for such high shares...... of wind power production and that it would be hard to get good and stable prices. However, analyses in this chapter show that the Nordic power market works, extreme events have been few, and the current infrastructure and market organization has been able to handle the amount of wind power installed so...... far. It is found that geographical bidding areas for the wholesale electricity market reflect external transmission constraints caused by wind power. The analyses in this chapter use hourly data from West Denmark—which has the highest share of wind energy in Denmark and which is a separate price area...

  2. Market Prices in a Power Market with more than 50% Wind Power

    DEFF Research Database (Denmark)

    Skytte, Klaus; Grohnheit, Poul Erik

    2017-01-01

    Denmark has the highest proportion of wind power in the world. Wind power provided a world record of 39.1% of the total annual Danish electricity consumption in 2014 with as much as 51.7% in Western Denmark. Many would argue that the present power markets are not designed for such high shares...... of wind power production and that it would be hard to get good and stable prices. However, analyses in this chapter show that the Nordic power market works, extreme events have been few, and the current infrastructure and market organization has been able to handle the amount of wind power installed so...... far. It is found that geographical bidding areas for the wholesale electricity market reflect external transmission constraints caused by wind power. The analyses in this chapter use hourly data from West Denmark—which has the highest share of wind energy in Denmark and which is a separate price area...

  3. Power systems locational marginal pricing in deregulated markets

    Science.gov (United States)

    Wang, Hui-Fung Francis

    Since the beginning of the 1990s, the electricity business is transforming from a vertical integrating business to a competitive market operations. The generation, transmission, distribution subsystem of an electricity utility are operated independently as Genco (generation subsystem), Transco (transmission subsystem), and Distco (distribution subsystem). This trend promotes more economical inter- and intra regional transactions to be made by the participating companies and the users of electricity to achieve the intended objectives of deregulation. There are various types of electricity markets that are implemented in the North America in the past few years. However, transmission congestion management becomes a key issue in the electricity market design as more bilateral transactions are traded across long distances competing for scarce transmission resources. It directly alters the traditional concept of energy pricing and impacts the bottom line, revenue and cost of electricity, of both suppliers and buyers. In this research, transmission congestion problem in a deregulated market environment is elucidated by implementing by the Locational Marginal Pricing (LMP) method. With a comprehensive understanding of the LMP method, new mathematical tools will aid electric utilities in exploring new business opportunities are developed and presented in this dissertation. The dissertation focuses on the development of concept of (LMP) forecasting and its implication to the market participants in deregulated market. Specifically, we explore methods of developing fast LMP calculation techniques that are differ from existing LMPs. We also explore and document the usefulness of the proposed LMP in determining electricity pricing of a large scale power system. The developed mathematical tools use of well-known optimization techniques such as linear programming that are support by several flow charts. The fast and practical security constrained unit commitment methods are the

  4. 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

  5. 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...

  6. Green Power voluntary purchases: Price elasticity and policy analysis

    International Nuclear Information System (INIS)

    Mewton, Ross T.; Cacho, Oscar J.

    2011-01-01

    Green Power schemes offer electricity from renewable energy sources to customers for a higher price than ordinary electricity. This study examines the demand characteristics of Green Power in Australia and policies which could increase its sales. A sample of 250 pooled time series and cross sectional observations was used to estimate a statistically significant elasticity of demand for Green Power with respect to price of -0.96 with a 95% confidence interval of ±68%. The wide variation in market penetration between jurisdictions and between countries for Green Power, and the low awareness of Green Power found by surveys indicate that Green Power sales could be increased by appropriate marketing and government policies. The most cost effective means to increase sales was found to be advertising campaigns although only one Australian example was found, in the state of Victoria in 2005. It was also found that full tax deductibility of the Green Power premium to residential customers, exemption from the Goods and Services Tax and a tax rebate for Green Power are all probably less cost effective for promoting sales than direct government purchase of Green Power, in terms of cost per unit of increased sales.

  7. Green Power voluntary purchases: Price elasticity and policy analysis

    Energy Technology Data Exchange (ETDEWEB)

    Mewton, Ross T., E-mail: rtmewton@hotmail.co [University of New England (Australia); Cacho, Oscar J. [School of Business Economics and Public Policy, School of Economics, University of New England, Armidale, NSW 2351 (Australia)

    2011-01-15

    Green Power schemes offer electricity from renewable energy sources to customers for a higher price than ordinary electricity. This study examines the demand characteristics of Green Power in Australia and policies which could increase its sales. A sample of 250 pooled time series and cross sectional observations was used to estimate a statistically significant elasticity of demand for Green Power with respect to price of -0.96 with a 95% confidence interval of {+-}68%. The wide variation in market penetration between jurisdictions and between countries for Green Power, and the low awareness of Green Power found by surveys indicate that Green Power sales could be increased by appropriate marketing and government policies. The most cost effective means to increase sales was found to be advertising campaigns although only one Australian example was found, in the state of Victoria in 2005. It was also found that full tax deductibility of the Green Power premium to residential customers, exemption from the Goods and Services Tax and a tax rebate for Green Power are all probably less cost effective for promoting sales than direct government purchase of Green Power, in terms of cost per unit of increased sales.

  8. Green Power voluntary purchases. Price elasticity and policy analysis

    Energy Technology Data Exchange (ETDEWEB)

    Mewton, Ross T. [University of New England (Australia); Cacho, Oscar J. [School of Business Economics and Public Policy, School of Economics, University of New England, Armidale, NSW 2351 (Australia)

    2011-01-15

    Green Power schemes offer electricity from renewable energy sources to customers for a higher price than ordinary electricity. This study examines the demand characteristics of Green Power in Australia and policies which could increase its sales. A sample of 250 pooled time series and cross sectional observations was used to estimate a statistically significant elasticity of demand for Green Power with respect to price of -0.96 with a 95% confidence interval of {+-}68%. The wide variation in market penetration between jurisdictions and between countries for Green Power, and the low awareness of Green Power found by surveys indicate that Green Power sales could be increased by appropriate marketing and government policies. The most cost effective means to increase sales was found to be advertising campaigns although only one Australian example was found, in the state of Victoria in 2005. It was also found that full tax deductibility of the Green Power premium to residential customers, exemption from the Goods and Services Tax and a tax rebate for Green Power are all probably less cost effective for promoting sales than direct government purchase of Green Power, in terms of cost per unit of increased sales. (author)

  9. 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.

  10. 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

  11. 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.

  12. 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

  13. 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)

  14. NSTX Electrical Power Systems

    International Nuclear Information System (INIS)

    A. Ilic; E. Baker; R. Hatcher; S. Ramakrishnan; et al

    1999-01-01

    The National Spherical Torus Experiment (NSTX) has been designed and installed in the existing facilities at Princeton Plasma Physic Laboratory (PPPL). Most of the hardware, plant facilities, auxiliary sub-systems, and power systems originally used for the Tokamak Fusion Test Reactor (TFTR) have been used with suitable modifications to reflect NSTX needs. The design of the NSTX electrical power system was tailored to suit the available infrastructure and electrical equipment on site. Components were analyzed to verify their suitability for use in NSTX. The total number of circuits and the location of the NSTX device drove the major changes in the Power system hardware. The NSTX has eleven (11) circuits to be fed as compared to the basic three power loops for TFTR. This required changes in cabling to insure that each cable tray system has the positive and negative leg of cables in the same tray. Also additional power cabling had to be installed to the new location. The hardware had to b e modified to address the need for eleven power loops. Power converters had to be reconnected and controlled in anti-parallel mode for the Ohmic heating and two of the Poloidal Field circuits. The circuit for the Coaxial Helicity Injection (CHI) System had to be carefully developed to meet this special application. Additional Protection devices were designed and installed for the magnet coils and the CHI. The thrust was to making the changes in the most cost-effective manner without compromising technical requirements. This paper describes the changes and addition to the Electrical Power System components for the NSTX magnet systems

  15. 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)

  16. Wind power bidding in electricity markets with high wind penetration

    International Nuclear Information System (INIS)

    Vilim, Michael; Botterud, Audun

    2014-01-01

    Highlights: • We analyze the pricing systems and wind power trading in electricity markets. • We propose a model that captures the relation between market prices and wind power. • A probabilistic bidding model can increase profits for wind power producers. • Profit maximizing bidding strategies carry risks for power system operators. • We conclude that modifications of current market designs may be needed. - Abstract: Objective: The optimal day-ahead bidding strategy is studied for a wind power producer operating in an electricity market with high wind penetration. Methods: A generalized electricity market is studied with minimal assumptions about the structure of the production, bidding, or consumption of electricity. Two electricity imbalance pricing schemes are investigated, the one price and the two price scheme. A stochastic market model is created to capture the price effects of wind power production and consumption. A bidding algorithm called SCOPES (Supply Curve One Price Estimation Strategy) is developed for the one price system. A bidding algorithm called MIMICS (Multivariate Interdependence Minimizing Imbalance Cost Strategy) is developed for the two price system. Results: Both bidding strategies are shown to have advantages over the assumed “default” bidding strategy, the point forecast. Conclusion: The success of these strategies even in the case of high deviation penalties in a one price system and the implicit deviation penalties of the two price system has substantial implications for power producers and system operators in electricity markets with a high level of wind penetration. Practice implications: From an electricity market design perspective, the results indicate that further penalties or regulations may be needed to reduce system imbalance

  17. Electric power's new competitive marketplace

    International Nuclear Information System (INIS)

    Hornick, R.; Zeppieri, J.; Rudden, K.

    1993-01-01

    Currently, competition is limited primarily to power generation, the sale of wholesale bulk power, and fuel substitution at the point of end use. However, within the next several years, the rivalry will focus on large, energy-intensive industrial and large commercial customers. Driven by the disparity in rates among neighboring and regional utilities, large users are expected to lobby aggressively for retail wheeling and access to new supplies. New competitors will provide customers with additional supply options, forcing traditional utilities to offer better prices and or service. Competition at the point of end use also will increase as the natural gas industry develops new end-use technologies, gas utilities compete more aggressively, and some state regulatory commissions promote fuel switching as part of integrated resource planning (IRP) and demand-side management (DSM). However, as long as electric utilities are subject to cost-based rate of return regulation within price-sensitive markets, they will be a competitive disadvantage. The paper discusses the following: competitive risks by market segment, wholesale markets, industrial markets, commercial markets, residential markets, and franchise markets

  18. 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.

  19. 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

  20. Power Sales to Electric Utilities

    Energy Technology Data Exchange (ETDEWEB)

    None

    1989-02-01

    The Public Utilities Regulatory Policies Act (PURPA) of 1979 requires that electrical utilities interconnect with qualifying facilities and purchase electricity at a rate based upon their full avoided costs (i.e., costs of providing both capacity and energy). Qualifying facilities (QF) include solar or geothermal electric units, hydropower, municipal solid waste or biomass-fired power plants, and cogeneration projects that satisfy maximum size, fuel use, ownership, location, and/or efficiency criteria. In Washington State, neither standard power purchase prices based upon a proxy ''avoided plant'', standard contracts, or a standard offer process have been used. Instead, a variety of power purchase contracts have been negotiated by developers of qualifying facilities with investor-owned utilities, public utility districts, and municipally-owned and operated utilities. With a hydro-based system, benefits associated with resource acquisition are determined in large part by how compatible the resource is with a utility's existing generation mix. Power purchase rates are negotiated and vary according to firm energy production, guarantees, ability to schedule maintenance or downtime, rights of refusal, power plant purchase options, project start date and length of contract; front-loading or levelization provisions; and the ability of the project to provide ''demonstrated'' capacity. Legislation was also enacted which allows PURPA to work effectively. Initial laws established ownership rights and provided irrigation districts, PUDs, and municipalities with expanded enabling powers. Financial processes were streamlined and, in some cases, simplified. Finally, laws were passed which are designed to ensure that development proceeds in an environmentally acceptable manner. In retrospect, PURPA has worked well within Washington. In the state of Washington, 20 small-scale hydroelectric projects with a combined generating capacity of

  1. Delegating pricing power to customers: Pay what you want or name your own price?

    OpenAIRE

    Krämer, Florentin; Schmidt, Klaus M.; Spann, Martin; Stich, Lucas

    2015-01-01

    Pay What You Want (PWYW) and Name Your Own Price (NYOP) are customer driven pricing mechanisms that give customers (some) pricing power. Both have been used in service industries with high fixed costs to price discriminate without setting a reference price. Their participatory and innovative nature gives rise to promotional benefits that do not accrue to posted-price sellers. We explore the nature and effects of these benefits and compare PWYW and NYOP using controlled lab experiments. We sho...

  2. 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)

  3. 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)

  4. Wind electric power generation

    International Nuclear Information System (INIS)

    Groening, B.; Koch, M.; Canter, B.; Moeller, T.

    1995-01-01

    The monthly statistics of wind electric power generation in Denmark are compiled from information given by the owners of private wind turbines. For each wind turbine the name of the site and of the type of turbine is given, and the power generation data are given for the month in question together with the total production in 1988 and 1989. Also the data of operation start are given. On the map of Denmark the sites of the wind turbines are marked. The statistics for December 1994 comprise 2328 wind turbines

  5. 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

  6. 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...

  7. Wind power. [electricity generation

    Science.gov (United States)

    Savino, J. M.

    1975-01-01

    A historical background on windmill use, the nature of wind, wind conversion system technology and requirements, the economics of wind power and comparisons with alternative systems, data needs, technology development needs, and an implementation plan for wind energy are presented. Considerable progress took place during the 1950's. Most of the modern windmills feature a wind turbine electricity generator located directly at the top of their rotor towers.

  8. The impact of the Market Power Mitigation Agreement on power prices in Ontario

    International Nuclear Information System (INIS)

    Chute, R. G.

    2000-01-01

    Market power was defined by the Market Design Committee (MDC) as 'the ability to sustain a significant price increase profitably', although it is generally understood to refer to the 'overwhelming dominance of generating capacity and supply capability of Ontario Power Generation' (OPG), the former generating arm of Ontario Hydro. The MDC sought to address market power within the context of the Ontario Government's White Paper on electricity sector reform, entitled 'Directions for Change'. The solution was the Market Power Mitigation Agreement (MPMA), a negotiated agreement between the MDC and OPG that established market share goals and provided incentives and penalties to meet these goals. Briefly, the major instrument used by the MPMA is the price of electric power sold in the Ontario market to reward, or penalize the actions of OPG in moving towards its market share goals as defined in the MPMA. This paper explains the principal elements of the MPMA and how they are expected to influence the market prices for power in Ontario. The principal elements of the Agreement are price cap and rebate, decontrol targets, and intertie capacity and limits, while the instruments comprise licence conditions, settlement agreements, market rules and ministerial directives. The issue of the impact of the MPMA on the cost of power, and the future prospects of market power after the expiration of the MPMA are also addressed

  9. 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)

  10. Price elasticity matrix of demand in power system considering demand response programs

    Science.gov (United States)

    Qu, Xinyao; Hui, Hongxun; Yang, Shengchun; Li, Yaping; Ding, Yi

    2018-02-01

    The increasing renewable energy power generations have brought more intermittency and volatility to the electric power system. Demand-side resources can improve the consumption of renewable energy by demand response (DR), which becomes one of the important means to improve the reliability of power system. In price-based DR, the sensitivity analysis of customer’s power demand to the changing electricity prices is pivotal for setting reasonable prices and forecasting loads of power system. This paper studies the price elasticity matrix of demand (PEMD). An improved PEMD model is proposed based on elasticity effect weight, which can unify the rigid loads and flexible loads. Moreover, the structure of PEMD, which is decided by price policies and load types, and the calculation method of PEMD are also proposed. Several cases are studied to prove the effectiveness of this method.

  11. Does wind energy mitigate market power in deregulated electricity markets?

    International Nuclear Information System (INIS)

    Ben-Moshe, Ori; Rubin, Ofir D.

    2015-01-01

    A rich body of literature suggests that there is an inverse relationship between wind power penetration rate into the electricity market and electricity prices, but it is unclear whether these observations can be generalized. Therefore, in this paper we seek to analytically characterize market conditions that give rise to this inverse relationship. For this purpose, we expand a recently developed theoretical framework to facilitate flexibility in modeling the structure of the electric industry with respect to the degree of market concentration and diversification in the ownership of wind power capacity. The analytical results and their attendant numerical illustrations indicate that the introduction of wind energy into the market does not always depress electricity prices. Such a drop in electricity prices is likely to occur when the number of firms is large enough or the ownership of wind energy is sufficiently diversified, or most often a combination of the two. Importantly, our study defines the circumstances in which the question of which type of firm invests in wind power capacity is crucial for market prices. - Highlights: • Studies show that electricity prices decrease with increased wind power capacity. • We investigate market conditions that give rise to this inverse relationship. • Average prices for wind energy are systematically lower than average market prices. • Conventional generation firms may increase market power by investing in wind farms. • Energy policy should seek to diversify the ownership of wind power capacity

  12. Coordination of Nordic system operators in the electric power market - profit from improved capacity utilization and a more flexible division into price zones; Koordinering av nordiske systemoperatoerer i kraftmarkedet - gevinster ved bedret kapasitetsutnyttelse og mer fleksibel prisomraadeinndeling

    Energy Technology Data Exchange (ETDEWEB)

    Bjoerndal, Mette; Joernsten, Kurt

    2001-08-01

    This report evaluates the possible profits of establishing a common system operator function in the Nordic electric power market. The main focus is placed on how to deal with congestion in the transmission grid. To estimate possible profits from a better utilization of the resources in the Nordic grid, the authors have analyzed socio-economic profits for several load scenarios. A simplified model of the Nordic stock area was used in the calculations. The existence of two methods of dealing with congestion in the grid may lead to reduced capacity utilization and to greater price differences than necessary. The examples show that ''indirect'' congestion control may be very expensive and that considerable cost reduction can be achieved by improved exploitation of congestion. This implies that if the Nordic area is divided into price zones, it is advantageous to regard the grid as an entity independent of national borders and system operators and to let the real transmission limitations determine the price zoning.

  13. 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

  14. 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)

  15. 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.

  16. 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.

  17. 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.

  18. 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

  19. Electric power industry in China

    Energy Technology Data Exchange (ETDEWEB)

    Zisheng Jiang [Ministry of Electric Power, Beijing (China). Bureau of Electric Power Machinery

    1995-07-01

    This document presents the status of the electric power in China, highlighting the following aspects: recent achievement, electricity increased sharing in the total energy consumption, technical economic indexes, nuclear power, renewable energy sources, rural electrification, transmission and power network, transmission lines and substations, present status and development trends for power network, regulation of power system dispatching, power system communication. The document also presents the future developing plan, approaching the outlook and strategy, development targets of the electric power industry and the administrative system reforming of the electric power industry.

  20. Econometric models of power prices. An approach to market monitoring in the Western US

    International Nuclear Information System (INIS)

    Barmack, Matthew; Kahn, Edward; Tierney, Susan; Goldman, Charles

    2008-01-01

    Given the limitations of data and resources available for market monitoring in electricity markets where regional transmission organizations (RTO) do not exist, we argue that econometric models of power prices could provide a useful screening tool for market monitoring. To explore its feasibility, we developed several econometric models of power prices at two major trading hubs in the West: Palo Verde and Mid-Columbia. We show that our models explain a large portion of the variation in power prices in Palo Verde and can establish a benchmark that can be used to identify outlier prices that are potentially the result of anti-competitive behavior. (author)

  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 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.

  4. Wind power in the Danish liberalised power market-Policy measures, price impact and investor incentives

    International Nuclear Information System (INIS)

    Munksgaard, Jesper; Morthorst, Poul Erik

    2008-01-01

    Wind power has a strong position at the Danish electricity market, mainly caused by high feed-in tariffs in the 1990s. Investments in new wind-power installations on land, however, have declined dramatically after the Danish electricity market was liberalised in 1999. First, the paper describes how policy measures directed towards wind power have been redesigned to match the liberalised market. Then, we estimate the impact of the redesigned tariffs on the electricity prices. Finally, we assess whether the new tariffs make an incentive to invest in wind power. The paper concludes that the new tariffs not by itself make evidence for the actual Danish recession in new wind-power installations after the electricity reform. The main causes could include a combination of problems in spatial planning, high risk aversion of new wind turbine investors and perhaps more favourable support schemes in other countries

  5. 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)

  6. 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

  7. 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, ...

  8. 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.

  9. TOPEX electrical power system

    Science.gov (United States)

    Chetty, P. R. K.; Roufberg, Lew; Costogue, Ernest

    1991-01-01

    The TOPEX mission requirements which impact the power requirements and analyses are presented. A description of the electrical power system (EPS), including energy management and battery charging methods that were conceived and developed to meet the identified satellite requirements, is included. Analysis of the TOPEX EPS confirms that all of its electrical performance and reliability requirements have been met. The TOPEX EPS employs the flight-proven modular power system (MPS) which is part of the Multimission Modular Spacecraft and provides high reliability, abbreviated development effort and schedule, and low cost. An energy balance equation, unique to TOPEX, has been derived to confirm that the batteries will be completely recharged following each eclipse, under worst-case conditions. TOPEX uses three NASA Standard 50AH Ni-Cd batteries, each with 22 cells in series. The MPS contains battery charge control and protection based on measurements of battery currents, voltages, temperatures, and computed depth-of-discharge. In case of impending battery depletion, the MPS automatically implements load shedding.

  10. 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.

  11. 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

  12. 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

  13. 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

  14. 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.

  15. 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...

  16. 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)

  17. On maximizing profit of wind-battery supported power station based on wind power and energy price forecasting

    DEFF Research Database (Denmark)

    Khalid, Muhammad; Aguilera, Ricardo P.; Savkin, Andrey V.

    2017-01-01

    This paper proposes a framework to develop an optimal power dispatch strategy for grid-connected wind power plants containing a Battery Energy Storage System (BESS). Considering the intermittent nature of wind power and rapidly varying electricity market price, short-term forecasting...... Dynamic Programming tool which can incorporate the predictions of both wind power and market price simultaneously as inputs in a receding horizon approach. The proposed strategy is validated using real electricity market price and wind power data in different scenarios of BESS power and capacity...... of these variables is used for efficient energy management. The predicted variability trends in market price assist in earning additional income which subsequently increase the operational profit. Then on the basis of income improvement, optimal capacity of the BESS can be determined. The proposed framework utilizes...

  18. 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

  19. 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.

  20. Electric power generator

    International Nuclear Information System (INIS)

    Carney, H.C.

    1977-01-01

    An electric power generator of the type employing a nuclear heat source and a thermoelectric converter is described wherein a transparent thermal insulating medium is provided inside an encapsulating enclosure to thermally insulate the heat source and thermoelectric generator. The heat source, the thermoelectric converter, and the enclosure are provided with facing surfaces which are heat-reflective to a substantial degree to inhibit radiation of heat through the medium of the encapsulating enclosure. Multiple reflective foils may be spaced within the medium as necessary to inhibit natural convection of heat and/or further inhibit radiation

  1. Electric power substations engineering

    CERN Document Server

    2003-01-01

    This book covers all aspects of substations, from the initial concept to design, automation, operation, and physical and cyber security. Written by members of the Institute of Electrical and Electronic Engineers (IEEE) Power Engineering Society (PES) Substations Committee, each section provides a tutorial and includes references for further reading and study. The authors use photographs and graphics to help the reader understand the material. Exploring the most recent technological developments regarding industry practice and standards, the book provides an extensive overview of substations th

  2. 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

  3. 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...

  4. Computation of spot prices and congestion costs in large interconnected power systems

    International Nuclear Information System (INIS)

    Mukerji, R.; Jordan, G.A.; Clayton, R.; Haringa, G.E.

    1995-01-01

    Foremost among the new paradigms for the US utility industry is the ''poolco'' concept proposed by Prof. William W. Hogan of Harvard University. This concept uses a central pool or power exchange in which physical power is traded based on spot prices or market clearing prices. The rapid and accurate calculation of these ''spot'' prices and associated congestion costs for large interconnected power systems is the central tenet upon which the poolco concept is based. The market clearing price would be the same throughout the system if there were no system losses and transmission limitations did not exist. System losses cause small differences in market clearing prices as the cost of supplying a MW at various load buses includes the cost of losses. Transmission limits may cause large differences in market clearing prices between regions as low cost generation is blocked by the transmission constraints from serving certain loads. In models currently in use in the electric power industry spot price calculations range from ''bubble diagram'' type contract path models to full electrical representation such as GE-MAPS. The modeling aspects of the full electrical representation are included in the Appendix. The problem with the bubble diagram representation is that these models are liable to produce unacceptably large errors in the calculation of spot prices and congestion costs. The subtleties of the calculation of spot prices and congestion costs are illustrated in this paper

  5. 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

  6. 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.

  7. Evaluation of Electric Power Procurement Strategies by Stochastic Dynamic Programming

    Science.gov (United States)

    Saisho, Yuichi; Hayashi, Taketo; Fujii, Yasumasa; Yamaji, Kenji

    In deregulated electricity markets, the role of a distribution company is to purchase electricity from the wholesale electricity market at randomly fluctuating prices and to provide it to its customers at a given fixed price. Therefore the company has to take risk stemming from the uncertainties of electricity prices and/or demand fluctuation instead of the customers. The way to avoid the risk is to make a bilateral contact with generating companies or install its own power generation facility. This entails the necessity to develop a certain method to make an optimal strategy for electric power procurement. In such a circumstance, this research has the purpose for proposing a mathematical method based on stochastic dynamic programming and additionally considering the characteristics of the start-up cost of electric power generation facility to evaluate strategies of combination of the bilateral contract and power auto-generation with its own facility for procuring electric power in deregulated electricity market. In the beginning we proposed two approaches to solve the stochastic dynamic programming, and they are a Monte Carlo simulation method and a finite difference method to derive the solution of a partial differential equation of the total procurement cost of electric power. Finally we discussed the influences of the price uncertainty on optimal strategies of power procurement.

  8. Electric power annual 1998. Volume 1

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1999-04-01

    The purpose of this report, Electric Power Annual 1998 Volume 1 (EPAVI), is to provide a comprehensive overview of the electric power industry during the most recent year for which data have been collected, with an emphasis on the major changes that occurred. In response to the changes of 1998, this report has been expanded in scope. It begins with a general review of the year and incorporates new data on nonutility capacity and generation, transmission information, futures prices from the Commodity futures Trading commission, and wholesale spot market prices from the pennsylvania-new Jersey-Maryland Independent System Operator and the California Power Exchange. Electric utility statistics at the Census division and State levels on generation, fuel consumption, stocks, delivered cost of fossil fuels, sales to ultimate customers, average revenue per kilowatthour of electricity sold, and revenues from those retail sales can be found in Appendix A. The EPAVI is intended for a wide audience, including Congress, Federal and State agencies, the electric power industry, and the general public.

  9. Powering China: Reforming the electric power industry in China

    International Nuclear Information System (INIS)

    Yi-Chong Xu

    2002-01-01

    The book reports on the rapidly changing face of the electricity business in China. Reforms by the central government and the need for more and more electric power have pushed the electricity sector from a central planned economy to a markets-based system. The international ramifications of China's reform programme are discussed. The author describes electricity industry reform in other countries including the USA and UK. The author points out that in China after 1998 there was a move to recentralise control but by then it was too late to reverse the reforms. The problems of tariff policies, pricing, and sources of new investments, including from foreign countries, are discussed. The final section of the book deals with problems arising from the need for massive retrenchment of power-section workers, cross-subsidies, and triangular debts. The book is said to provide a sound description of the political economy of power reform in China without getting bogged down in economic modelling

  10. 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

  11. 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.

  12. Monthly bulletin of electric power market - November 1988

    International Nuclear Information System (INIS)

    1988-01-01

    This bulletin deals with the brazilian electric power consumption in November 1988, containing data about the total consumption, the growth rates, the special tariffs and monthly evolution in each brazilian region. The economic indexes of industrial production, the market and the prices of electric power and petroleum products are also presented. (C.G.C.)

  13. Monthly bulletin of electric power market - July 1988

    International Nuclear Information System (INIS)

    1988-01-01

    This bulletin deals with the brazilian electric power consumption in July 1988, containing data about the total consumption, the growth rates, the special tariffs and monthly evolution in each brazilian region. The economic indexes of industrial production, the market and the prices of electric power and petroleum products are also presented. (C.G.C.)

  14. Monthly bulletin of electric power market - September 1988

    International Nuclear Information System (INIS)

    1988-01-01

    This bulletin deals with the brazilian electric power consumption in September 1988, containing data about the total consumption, the growth rates, the special tariffs and monthly evolution in each brazilian region. The economic indexes of industrial production, the market and the prices of electric power and petroleum products are also presented. (C.G.C.)

  15. 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

  16. 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.

  17. 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.

  18. 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)

  19. 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

  20. 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

  1. Electric power markets in Europe 1993; Elmarknaderna i Europa 1993

    Energy Technology Data Exchange (ETDEWEB)

    Hermanson, K; Lublin, Z; Olofsdotter, A; Petsala, B; Wuolikainen, T

    1993-12-01

    The development of power markets in Europe is described. Special attention is devoted to the development in France, Germany, Denmark, Finland and Norway. The planned deregulation of the Swedish electric power market will promote an increased trade with electricity across the border. The possibilities and consequences of this trade is elucidated. Also given is a compilation of electric power prices for different groups of consumers, and the differences among European countries. 7 figs, 26 tabs

  2. 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

  3. Thermal electric power production

    International Nuclear Information System (INIS)

    Boehmer, S.

    2001-01-01

    The basic principle of a thermal power plant is to heat up water in the pipe system of a boiler to generate steam, which exits the boiler with high pressure and releases its energy to a tandem-arranged turbine. This energy is transmitted to a generator over a common shaft. The generated electricity is fed into the power supply system. The processed steam is condensed to water by means of a condenser and transferred back into the pipe system of the boiler (feed water circuit). In general the following techniques are applied for the combustion of solid, liquid and gaseous fuels: dry bottom boiler, wet bottom boiler, grate firing, fluidized bed combustion, gasification systems - integrated gasification combined cycle (IGCC), oil firing technique, gas firing technique. Residues from power plants are generated by the following processes and emission reduction measures: separation of bottom ash or boiler slag in the boiler; separation of fly ash (particulate matter) by means of filters or electric precipitators; desulphurization through lime additive processes, dry sorption or spray absorption processes and lime scrubbing processes; desulphurization according to Wellmann-Lord and to the Walther process; reduction of NO x emissions by selective catalytic reduction (SCR). In this case spent catalyst results as a waste unless it is recycled. No residues are generated by the following measures to reduce NO x emissions: minimization of nitrogen by selective non-catalytic reduction (SNCR); adaptations of the firing technology to avoid emissions - primary measures (low-NO x burners, CO reduction). However, this may change the quality of fly ash by increasing unburnt carbon. Combustion of fossil fuels (with the exception of gaseous fuels) and biomass generates large quantities of residues - with coal being the greatest contributor - either from the fuel itself in the form of ashes, or from flue gas cleaning measures. In coal-fired power plants huge amounts of inorganic residues

  4. 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

  5. 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)

  6. 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

  7. 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)

  8. 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

  9. Prices vs. quantities. Incentives for renewable power generation. Numerical analysis for the European power market

    Energy Technology Data Exchange (ETDEWEB)

    Nagl, Stephan

    2013-02-15

    In recent years, many countries have implemented policies to incentivize renewable power generation. This paper outlines the effects of weather uncertainty on investment and operation decisions of electricity producers under a feed-in tariff and renewable quota obligation. Furthermore, this paper tries to quantify the sectoral welfare and investments risks under the different policies. For this purpose, a spatial stochastic equilibrium model is introduced for the European electricity market. The numerical analysis suggests that including the electricity market price in renewable policies (wholesale price + x) reduces the loss of sectoral welfare due to a renewable policy by 11-20 %. Moreover, investors face an only slightly higher risk than under fixed price compensations. However, electricity producers face a substantially larger investment risk when introducing a renewable quota obligation without the option of banking and borrowing of green certificates. Given the scenario results, an integration of the hourly market price in renewable support mechanisms is mandatory to keep the financial burden to electricity consumers at a minimum. Additionally, following the discussion of a European renewable quota after 2020, the analysis indicates the importance of an appropriate banking and borrowing mechanism in light of stochastic wind and solar generation.

  10. 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...

  11. Annual Report 1999. Electric power in Sweden

    International Nuclear Information System (INIS)

    2000-07-01

    Power Association is of the opinion that the increase in production taxes on nuclear power is completely misdirected. Sweden is the only EU country to have production taxes on electricity. Uncertainty and the lack of stability in the present taxation system will entail considerable difficulties both for electricity-intensive industry and for the power companies vis-a-vis long-term investment in Sweden. In 1999, overall consumption in the country fell by 0.3 TWh to 142.9 TWh, compared with last year. The decrease is explained by the fact that the autumn was very warm. Inflow into the major rivers was somewhat higher than normal enabling 70.4 TWh to be generated by the hydropower plants. This is 6 TWh more than during a normal year. Nuclear power accounted for 70.2 TWh, equal to the previous year. Additionally, combined heat and power and condensing plants accounted for 9.5 TWh, almost half of which using biofuels. Wind power continues to increase. At year-end, there were about 480 wind power plants, and the annual production was 0.4 TWh. Overall electricity production in the country was 150.5 TWh, a decrease of 3.4 TWh, or just under three percent. Exports amounted to 16.1 TWh and imports to 8.5 TWh. The average price for the year on the Nordic power exchange's spot market (Sector Sweden) was SEK 0.119 per kWh. The low price is explained by the mild weather and a plentiful supply of water in the Nordic reservoirs. On 1 November, the electricity market was changed in such a way that small consumers, with a fuse rating of up to 200 amps, were also able to take part. Parliament's decision to remove the requirement for continually registering hourly meters was of crucial importance. With this measure, the electricity market was also opened up to household customers. Hourly metering was replaced by profile settlement. Customers were offered fixed prices that could be considerably lower than previously. Flexible prices were on offer, e.g. linked to the power exchange's spot

  12. Generation of electrical power

    International Nuclear Information System (INIS)

    Hursen, T.F.; Kolenik, S.A.; Purdy, D.L.

    1976-01-01

    A heat-to-electricity converter is disclosed which includes a radioactive heat source and a thermoelectric element of relatively short overall length capable of delivering a low voltage of the order of a few tenths of a volt. Such a thermoelectric element operates at a higher efficiency than longer higher-voltage elements; for example, elements producing 6 volts. In the generation of required power, the thermoelectric element drives a solid-state converter which is controlled by input current rather than input voltage and operates efficiently for a high signal-plus-noise to signal ratio of current. The solid-state converter has the voltage gain necessary to deliver the required voltage at the low input of the thermoelectric element

  13. 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

  14. 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

  15. 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

  16. Estimated market prices of electric energy: agroenergy cooperative case study: NERAM (Model for Electric Power Enterprise in Isolated Communities in the Amazon - NERAM) Project; Estimativa do preco de comercializacao da energia eletrica - estudo de caso: cooperativa de agroenergia - Projeto NERAM (Modelo de Negocio de Energia Eletrica em Comunidades Isoladas na Amazonia)

    Energy Technology Data Exchange (ETDEWEB)

    Pedreira, Adriana Coli; Souza, Rubem Cesar Rodrigues; Xavier, Diogo Jackson Cajueiro; Freitas, Katriana Tavares de [Universidade Federal do Amazonas (CDEAM/UFAM), Manaus, AM (Brazil). Centro de Desenvolvimento Energetico Amazonico], Email: cdeam@ufam.edu.br

    2006-07-01

    The objective of this article is to estimate the cost of commercialization of the electricity generated from the acai seeds, under different commercial societies, namely agricultural cooperative, cooperative for rural electrification and independent producer of electricity. In the case of cooperative agriculture, the main products would be the acai pulp, among others, while the electricity would be a sub product resulting from the utilization of the residues from the process. For the other two arrangements, the electricity would be the main product, with differences in fees, taxes and financial structure between them. The taxes and fees associated with each one of the societies are considered for the estimates of energy costs. The results are presented as a variation of the electricity costs (Reais/MWh) over the load factor variation and are compared to the prices practiced for the bulk energy market for the independent producer in the Amazon region. All the results are presented with and without the subsidy for electricity. This study is part of the mark of the project {sup M}odel for Electric Power Enterprise in Isolated Communities in the Amazon - NERAM{sup ,} financed by the National Council for Scientific and Technological Development - CNPq, that contemplates the universal access to electric-power services and the idea of Integrated Planning of Resources (PIR) for isolated systems. The results appear for the need of subsidies and they present smaller costs for the sceneries that use the cooperatives, especially the cooperative of rural electrification. (author)

  17. 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.

  18. 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.

  19. 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.

  20. 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)

  1. 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)

  2. 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.

  3. Electric Power Monthly, March 1991

    International Nuclear Information System (INIS)

    1991-01-01

    The Electric Power Monthly (EPM) presents monthly summaries of electric utility statistics at the national, Census division, and state level. The purpose of this publication is to provide energy decisionmakers with accurate and timely information that may be used in forming various perspectives on electric issues that lie ahead. Data are presented on generation, fuel consumption, stockpiles, costs, sales, and unusual occurrences. Fuels considered are: coal, petroleum, natural gas, nuclear power, and hydroelectric power. 4 figs., 48 tabs

  4. 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)

  5. 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)

  6. 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

  7. Basic Assumptions of the New Price System and Supplements to the Tariff System for Electricity Sale

    International Nuclear Information System (INIS)

    Klepo, M.

    1995-01-01

    The article outlines some basic assumptions of the new price system and major elements of the latest proposition for the changes and supplements to the Tariff system for Electricity Sale in the Republic of Croatia, including the analysis of those elements which brought about the present unfavourable and non-productive relations within the electric power system. The paper proposes measures and actions which should by means of a price system and tariff policy improve the present unfavourable relations and their consequences and achieve a desirable consumption structure and characteristics, resulting in rational management and effective power supply-economy relationships within the electric power system as a subsystem of the power supply sector. (author). 2 refs., 3 figs., 4 tabs

  8. 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)

  9. 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)

  10. 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

  11. 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)

  12. 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)

  13. Real-Time Pricing in the Nordic Power markets

    International Nuclear Information System (INIS)

    Kopsakangas Savolainen, Maria; Svento, Rauli

    2012-01-01

    In this paper we study the potential effects of Real-Time Pricing (RTP) of electricity on the need for long-run capacities in the Nordic Power markets. A characteristic of the Nordic Power market is the large variety of production technologies, of which hydro and nuclear power are capacity constrained. We analyze the impact of RTP on: the need for total, peak and midmerit capacities; total demand; prices; peak demand hours; and economic welfare. We have also studied whether the results of RTP are sensitive to the simultaneous implementation of tradable emission permits. We find that RTP diminishes the need for total capacity even with inelastic demand. Our results show that even with modest assumptions related to RTP participation, the annual midmerit and peaker capacity efficiency savings amount to 97 million Euros, which are around 6% of their total annual investment costs. The price of the peak demand hour clearly diminishes as the share of the RTP customers increases or demand becomes more price elastic. We compare RTP and tradable emission permits as two separate instruments in reaching energy use efficiencies and show how these two instruments must be seen as complementary and not as substitutable instruments. We show how RTP and tradable emission permits have a positive correlation in promoting market access of renewable energy sources. We find that welfare effects of the implementation of RTP are positive. - Highlights: ► RTP diminishes the need for total capacity even with inelastic demand. ► The capacity efficiency savings are around 6% of their annual investment costs. ► RTP and ETS should be seen as complementary and not as substitutable instruments. ► RTP and ETS have a positive correlation in promoting market access of renewables. ► Welfare effects of the implementation of RTP are positive.

  14. 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

  15. Optimal Energy Management for the Integrated Power and Gas Systems via Real-time Pricing

    DEFF Research Database (Denmark)

    Shu, KangAn; Ai, Xiaomeng; Wen, Jinyu

    2018-01-01

    This work proposed a bi-level formulation for energy management in the integrated power and natural gas system via real-time price signals. The upper-level problem minimizes the operational cost, in which dynamic electricity price and dynamic gas tariff are proposed. The lower level problem...... and P2Gs plants follow the system operator’s preferences such as wind power accommodation, mitigation of unsupplied load and relieving the network congestion....

  16. Small Signal Stability Improvement of Power Systems Using Optimal Load Responses in Competitive Electricity Markets

    DEFF Research Database (Denmark)

    Hu, Weihao; Su, Chi; Chen, Zhe

    2011-01-01

    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 some of their loads from high price periods to the low price periods in order to save their energy costs. The optimal load response to an electricity price...... price is proposed. A 17-bus power system with high wind power penetrations, which resembles the Eastern Danish power system, is chosen as the study case. Simulation results show that the optimal load response to electricity prices is an effective measure to improve the small signal stability of power...... for demand side management generates different load profiles and may provide an opportunity to improve the small signal stability of power systems with high wind power penetrations. In this paper, the idea of power system small signal stability improvement by using optimal load response to the electricity...

  17. Pricing power outages in the Netherlands

    Energy Technology Data Exchange (ETDEWEB)

    Baarsma, Barbara E.; Hop, J. Peter [SEO Economic Research/University of Amsterdam, Amsterdam (Netherlands)

    2009-09-15

    In most Western countries, the power grid provides electricity more than 99% of the time. To maintain reliability at such high levels, energy companies have to continually invest in electric transmission- and distribution systems. Since customers of electricity cannot switch from one distribution network to another, no economic incentive exists that matches the supplied reliability to customer preferences. Either under- or over-investment in reliability may thus result. In order to introduce market-like incentives, the Dutch Energy Regulator introduced a regulatory system based on the (perceived) costs of power outages. An essential ingredient of the regulation is the cost of a power outage of a particular duration (i.e., 1 minute). This paper measures these outage cost by using conjoint analysis. We find that the social cost of the present Dutch level of reliability - that is, one outage of two hours every four years - is EUR2.80 on average for every household, and EUR33.10 on average for every SME firm. The total costs to Dutch society are almost EUR50 million. (author)

  18. CO2 Price Impacts on Nuclear Power Plant Competitiveness in Croatia

    International Nuclear Information System (INIS)

    Tomsic, Z.; Pasicko, R.

    2010-01-01

    Long term power system planning faces growing number of concerns and uncertainties, which is especially true for nuclear power plants due to their high investment costs and financial risk. In order to analyze competitiveness of nuclear power plants and optimize energy mix, existing models are not sufficient anymore and planners need to think differently in order to face these challenges. Croatia will join EU ETS (European Emission Trading Scheme) with accession to EU (probably in 2012). Thus, for Croatian electrical system it is very important to analyze possible impacts of CO 2 emissions. Analysis presented in this paper is done by electricity market simulation model PLEXOS which was used for modelling Croatian electrical system during development of the Croatian Energy Strategy in 2008. Paper analyzes impacts of CO 2 price on competitiveness of nuclear power plant within Croatian power system between 2020 and 2025. Analyzes are focused on how nuclear power plant influences total emission from the power system regarding coal and gas prices, average electricity price regarding CO 2 , coal and gas prices price. Results of this paper are showing that with emissions from Energy strategy development scenario with two new coal power plants (600 MW each) and two new gas power plants (400 MW each) until 2020, Croatia does not meet Kyoto target due to this emissions from power system. On the other side, introduction of nuclear power plants presented in this paper (1000 MW instead of one coal and one gas power plant) means nearly 6.5 Mt CO 2 emissions less annually and gives possibility to achieve Kyoto target (as this reduced amount represents nearly 22 % of Croatian Kyoto target). Results are also showing how increase in CO 2 price is enhancing competitiveness of a nuclear power plant.(author).

  19. 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)

  20. A forward look at power prices in Alberta

    International Nuclear Information System (INIS)

    Reid-Carlson, D.

    1999-01-01

    The various components of the price of electricity, various rate design methodologies, and factors that influence cost-of-service such as types of generation and fuel, age of the physical plant, size of utility, rate of customer and load growth, funding arrangements, tax status, customer mix, and load profile are examined in an effort to predict the future price of electricity in Alberta. The prediction is that delivered prices will increase across all sectors, albeit at levels less than the increase would be without competition. Alberta pool prices in the longer term will continue to reflect the marginal cost of the last generators dispatched to meet the demand. Convergence between electricity spot prices and natural gas prices is predicted to occur over time

  1. Pricing mechanism for real-time balancing in regional electricity markets

    NARCIS (Netherlands)

    De Weerdt, M.M.; Ketter, W.; Collins, J.

    2011-01-01

    We consider the problem of designing a pricing mechanism for precisely controlling the real-time balance in electricity markets, where retail brokers aggregate the supply and demand of a number of individual customers, and must purchase or sell power at the wholesale level such that the total supply

  2. The electrical power sector in Turkey

    International Nuclear Information System (INIS)

    Gengyilmaz, Nese; Savruk, Nurettin

    1998-01-01

    In Turkey, highest priority is given to domestic resources, whenever economical. Imports are considered in case it is feasible. Diversification of resources is also taken into account. Efficient utilization of the resources and energy conservation are ensured ant supported. Measures for environmental and public health protection are taken into consideration during power generation and planing. In energy investments, foreign capital and domestic private sector are promoted along with the public sector. A rational structure in energy pricing is applied without any subsidies. Feasible interconnections and higher electric power exchanges with neighbouring countries are supported

  3. Optimal Operation of Electric Vehicles in Competitive Electricity Markets and Its Impact on Distribution Power Systems

    DEFF Research Database (Denmark)

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

    2011-01-01

    represent the future of electricity markets in some ways, is chosen as the studied power system in this paper. The impact of the optimal operation strategy for electric vehicles together with the optimal load response to spot market price on the distribution power system with high wind power penetrations...... are also discussed in the paper. Simulation results show that the proposed optimal operation strategy is an effective measure to achieve minimum energy costs of the PEV. The optimal operation strategy of the PEV and the optimal load response may have significant effects on the distribution power system......Since the hourly spot market price is available one day ahead in Denmark, the electricity price could be transferred to the consumers and they may make some optimal charge and discharge schedules for their electric vehicles in order to minimize their energy costs. This paper presents an optimal...

  4. Electric power production contra electricity savings

    International Nuclear Information System (INIS)

    Schleisner, L.; Grohnheit, P.E.; Soerensen, H.

    1991-01-01

    The expansion of electricity-producing plants has, in Denmark until now, taken place in accordance with the demand for electricity. Recently, it has been suggested that the cost of the further development of such systems is greater than the cost of instigating and carrying out energy conservation efforts. The aim of the project was to evaluate the consequences for power producing plants of a reduction of the electricity consumption of end-users. A method for the analysis of the costs involved in the system and operation of power plants contra the costs that are involved in saving electricity is presented. In developing a model of this kind, consideration is given to the interplay of the individual saving project and the existing or future electricity supply. Thus it can be evaluated to what extent it would be advisable to substitute investments in the development of the capacity of the power plants with investments in the reduction of electricity consumption by the end users. This model is described in considerable detail. It will be tested in representative situations and locations throughout the Nordic countries. (AB) 17 refs

  5. 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)

  6. 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

  7. Electric power balance sheet 2012

    International Nuclear Information System (INIS)

    2013-01-01

    The mission of RTE, the French electricity Transportation grid, a public service assignment, is to balance the electricity supply and demand in real time. This report presents RTE's technical results for the year 2012: strong seasonal contrast of power consumption, rise of the renewable energies contribution in meeting the electricity demand, slight decay of the nuclear and thermal power generation, decrease of the export balance and change in trades structure, adaptation of RTE's network to the evolutions of the energy system

  8. Comprehensive evaluation of power grid projects' investment benefits under the reform of transmission and distribution price

    Science.gov (United States)

    Wang, Yongli; Wang, Gang; Zuo, Yi; Fan, Lisha; Ling, Yunpeng

    2017-03-01

    On March 15, 2015, the Central Office issued the "Opinions on Further Deepening the Reform of Electric Power System" (Zhong Fa No. 9). This policy marks the central government officially opened a new round of electricity reform. As a programmatic document under the new situation to comprehensively promote the reform of the power system, No. 9 document will be approved as a separate transmission and distribution of electricity prices, which is the first task of promoting the reform of the power system. Grid tariff reform is not only the transmission and distribution price of a separate approval, more of the grid company input-output relationship and many other aspects of deep-level adjustments. Under the background of the reform of the transmission and distribution price, the main factors affecting the input-output relationship, such as the main business, electricity pricing, and investment approval, financial accounting and so on, have changed significantly. The paper designed the comprehensive evaluation index system of power grid projects' investment benefits under the reform of transmission and distribution price to improve the investment efficiency of power grid projects after the power reform in China.

  9. 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.

  10. 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.

  11. Electric power system / emergency power supply

    International Nuclear Information System (INIS)

    Dorn, P.G.

    1980-01-01

    One factor of reliability of reactor safety systems is the integrity of the power supply. The purpose of this paper is a review and a discussion of the safety objectives required for the planning, licensing, manufacture and erection of electrical power systems and components. The safety aspects and the technical background of the systems for - the electric auxiliary power supply system and - the emergency power supply system are outlined. These requirements result specially from the safety standards which are the framework for the studies of safety analysis. The overall and specific requirements for the electrical power supply of the safety systems are demonstrated on a 1300 MW standard nuclear power station with a pressurized water reactor. (orig.)

  12. Research of Charging(Discharging Orderly and Optimizing Load Curve for Electric Vehicles Based on Dynamic Electric Price and V2G

    Directory of Open Access Journals (Sweden)

    Yang Shuai

    2016-01-01

    Full Text Available Firstly, using the Monte Carlo method and simulation analysis, this paper builds models for the behaviour of electric vehicles, the conventional charging model and the fast charging model. Secondly, this paper studies the impact that the number of electric vehicles which get access to power grid has on the daily load curve. Then, the paper put forwards a dynamic pricing mechanism of electricity, and studies how this dynamic pricing mechanism guides the electric vehicles to charge orderly. Last but not the least, the paper presents a V2G mechanism. Under this mechanism, electric vehicles can charge orderly and take part in the peak shaving. Research finds that massive electric vehicles’ access to the power grid will increase the peak-valley difference of daily load curve. Dynamic pricing mechanism and V2G mechanism can effectively lead the electric vehicles to take part in peak-shaving, and optimize the daily load curve.

  13. Auction game in electric power market place

    International Nuclear Information System (INIS)

    Kumar, J.; Sheble, G.

    1996-01-01

    The power industry in the US is presently an evolving changing business environment. While planning to meet future peak demand is still a concern, the efficient utilization of existing generation and transmission resources is fast becoming a primary interest. This interest suggests a move from cost-based market operations to price based market operations. Auction market structure is one of the various ways to perform price based operation. Such a market place would be very new and challenging to all players of the electric power industry. This paper describes an overview of the new business environment. The paper presents a detailed description of the auction game. The trading objectives in the bidding game are defined. The framework of auction process is described by defining the rules to play the game. Finally, strategies for market players are discussed

  14. 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.

  15. Power System Transient Stability Improvement Using Demand Side Management in Competitive Electricity Markets

    DEFF Research Database (Denmark)

    Hu, Weihao; Wang, Chunqi; Chen, Zhe

    2012-01-01

    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 some of their loads from high price periods to the low price periods in order to save their energy costs. The optimal load response to an electricity price...... for demand side management generates different load profiles and may provide an opportunity to improve the transient stability of power systems with high wind power penetrations. In this paper, the idea of the power system transient stability improvement by using optimal load response to the electricity...... price is proposed. A 102-bus power system which represents a simplified model of the western Danish power system is chosen as the study case. Simulation results show that the optimal load response to electricity prices is an effective measure to improve the power system transient stability with high...

  16. Optimizing Wellfield Operation in a Variable Power Price Regime.

    Science.gov (United States)

    Bauer-Gottwein, Peter; Schneider, Raphael; Davidsen, Claus

    2016-01-01

    Wellfield management is a multiobjective optimization problem. One important objective has been energy efficiency in terms of minimizing the energy footprint (EFP) of delivered water (MWh/m(3) ). However, power systems in most countries are moving in the direction of deregulated markets and price variability is increasing in many markets because of increased penetration of intermittent renewable power sources. In this context the relevant management objective becomes minimizing the cost of electric energy used for pumping and distribution of groundwater from wells rather than minimizing energy use itself. We estimated EFP of pumped water as a function of wellfield pumping rate (EFP-Q relationship) for a wellfield in Denmark using a coupled well and pipe network model. This EFP-Q relationship was subsequently used in a Stochastic Dynamic Programming (SDP) framework to minimize total cost of operating the combined wellfield-storage-demand system over the course of a 2-year planning period based on a time series of observed price on the Danish power market and a deterministic, time-varying hourly water demand. In the SDP setup, hourly pumping rates are the decision variables. Constraints include storage capacity and hourly water demand fulfilment. The SDP was solved for a baseline situation and for five scenario runs representing different EFP-Q relationships and different maximum wellfield pumping rates. Savings were quantified as differences in total cost between the scenario and a constant-rate pumping benchmark. Minor savings up to 10% were found in the baseline scenario, while the scenario with constant EFP and unlimited pumping rate resulted in savings up to 40%. Key factors determining potential cost savings obtained by flexible wellfield operation under a variable power price regime are the shape of the EFP-Q relationship, the maximum feasible pumping rate and the capacity of available storage facilities. © 2015 The Authors. Groundwater published by Wiley

  17. Electric power balance sheet 2013

    International Nuclear Information System (INIS)

    2014-01-01

    The mission of RTE, the French electricity Transportation grid, a public service assignment, is to balance the electricity supply and demand in real time. This report presents RTE's technical results for the year 2013: stabilisation of the electricity consumption in France, high level of hydropower generation, fast evolution of the European power network, electricity markets in a transition situation, adaptation of RTE's network to the evolutions of the energy system

  18. 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)

  19. 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)

  20. 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.

  1. Ten-year statistics of the electric power supply. Status and tendencies

    International Nuclear Information System (INIS)

    2001-12-01

    The ten-year statistics of the electric power supply in Denmark for 1991-2000 presents in tables and figures the trend of the electric power supply sector during the last ten years. The tables and figures present information on total energy consumption, combined heat and power generation, fuel consumption and the environment, the technical systems, economy and pricing, organization of the electricity supply, and information on electricity prices and taxes for households and industry in various countries. (LN)

  2. 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

  3. The electric power engineering handbook electric power transformer engineering

    CERN Document Server

    Harlow, James H

    2012-01-01

    Electric Power Transformer Engineering, Third Edition expounds the latest information and developments to engineers who are familiar with basic principles and applications, perhaps including a hands-on working knowledge of power transformers. Targeting all from the merely curious to seasoned professionals and acknowledged experts, its content is structured to enable readers to easily access essential material in order to appreciate the many facets of an electric power transformer.Topically structured in three parts, the book: * Illustrates for electrical engineers the relevant theories and pri

  4. ELECTRICITY PRICING IN LESS DEVELOPED COUNTRIES ...

    African Journals Online (AJOL)

    ES Obe

    This paper presents the use of expected system load duration curve (LDC) and power plant input-output ..... upgrade) some transmission and distribution facilities for ... associated with service drop lines, meter, .... voltage level: LV, MH, and HV.

  5. Nuclear power within liberalised electricity markets

    International Nuclear Information System (INIS)

    Kidd, Stephen W.

    2002-01-01

    Competition between various methods of generating electricity in liberalised markets means that all power plants must be cost-effective. The price of electricity from nuclear power includes all waste disposal and decommissioning costs, unlike other electricity generating technologies. Most existing nuclear power plants are likely to prosper under electricity liberalization. Many will receive operating life extensions and be able to compete in the electricity market for many years to come. Investment costs are particularly heavy for nuclear plants. Capital expenditure appraisal methodologies mean that such plants suffer financial disadvantages in times of high interest rates. Low and stable fuel costs are the prime advantage of nuclear plants against other sources of generating electricity. There will be significant demand for new generating capacity, both incremental and replacement, in the next 20 years. Under present conditions, where there is access to a stable and cheap supply of piped gas, nuclear and coal plants find it difficult to compete against gas-fired plants. The nuclear industry is addressing the need for new reactor designs, offering significant capital and operating cost reductions from the previous generation of reactors. This development and the need for carbon abatement on a worldwide basis offers nuclear plants a further economic advantage against alternative technologies. (author)

  6. The impact of wind generation on the electricity spot-market price level and variance: The Texas experience

    International Nuclear Information System (INIS)

    Woo, C.K.; Horowitz, I.; Moore, J.; Pacheco, A.

    2011-01-01

    The literature on renewable energy suggests that an increase in intermittent wind generation would reduce the spot electricity market price by displacing high fuel-cost marginal generation. Taking advantage of a large file of Texas-based 15-min data, we show that while rising wind generation does indeed tend to reduce the level of spot prices, it is also likely to enlarge the spot-price variance. The key policy implication is that increasing use of price risk management should accompany expanded deployment of wind generation. - Highlights: → Rising wind generation in ERCOT tends to reduce electricity spot prices. → Rising wind generation in ERCOT is also likely to enlarge the spot-price variance. → Increased price risk management should accompany expanded wind power deployment.

  7. 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.

  8. 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

  9. Description of the electric power and energy trade in Finland

    International Nuclear Information System (INIS)

    Komulainen, K.

    1992-01-01

    The Finnish State has traditionally controlled the import of electricity, larger related investments and pricing. Lately, a market orientated economic policy has influenced energy policy and the amount of state control has gradually decreased. Decisions have yet to be made with regard to the fifth nuclear power reactor. The paper deals briefly with the subjects of the electric power, natural gas and oil markets. Finland's transmission network has connections to the former Russia and the Baltic countries. According to agreements within the European Community, Finland must now make changes in its electric power supply structure. Competition will be encouraged and monopolies discouraged. Pricing shall be transparent, and power plants must present written documentation for their management system, price regulations etc. A law must be passed to legitimate trade across the country's borders. Emphasis will be laid on energy conservation and energy research and consultant services. It is claimed that Finland's level of technology in this area lives up to international standards. (AB)

  10. 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

  11. 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)

  12. Wind power and a liberalised North European electricity exchange

    Energy Technology Data Exchange (ETDEWEB)

    Nielsen, L H; Morthorst, P E; Skytte, K [and others

    1999-03-01

    Conditions for wind power on a liberalised North European electrical power market are addressed in the paper. Results are presented from a recently completed study carried out by Risoe National Laboratory in collaboration with the Danish electric utilities Eltra, Elsam and Elkraft. A main result from the study is, that the market will be able to provide the necessary power regulation, that will be required year 2005 as consequence of the expected wind power capacity extension, according to the Danish energy plan, Energy21. The averege sales price on the market for the wind-generated electricity is less than the average spot market price, due to provision of power regulation to balance the unpredictability of the wind power. This reduction in the market value of wind power has been calculated to 10-20 DKK/MWh of 1.3-2.7 EUR/MWh. (au)

  13. 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)

  14. 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)

  15. Day-ahead price forecasting of electricity markets by a new feature selection algorithm and cascaded neural network technique

    International Nuclear Information System (INIS)

    Amjady, Nima; Keynia, Farshid

    2009-01-01

    With the introduction of restructuring into the electric power industry, the price of electricity has become the focus of all activities in the power market. Electricity price forecast is key information for electricity market managers and participants. However, electricity price is a complex signal due to its non-linear, non-stationary, and time variant behavior. In spite of performed research in this area, more accurate and robust price forecast methods are still required. In this paper, a new forecast strategy is proposed for day-ahead price forecasting of electricity markets. Our forecast strategy is composed of a new two stage feature selection technique and cascaded neural networks. The proposed feature selection technique comprises modified Relief algorithm for the first stage and correlation analysis for the second stage. The modified Relief algorithm selects candidate inputs with maximum relevancy with the target variable. Then among the selected candidates, the correlation analysis eliminates redundant inputs. Selected features by the two stage feature selection technique are used for the forecast engine, which is composed of 24 consecutive forecasters. Each of these 24 forecasters is a neural network allocated to predict the price of 1 h of the next day. The whole proposed forecast strategy is examined on the Spanish and Australia's National Electricity Markets Management Company (NEMMCO) and compared with some of the most recent price forecast methods.

  16. Tariffs, investments and financing of the electric power sector in Uruguay

    International Nuclear Information System (INIS)

    Iglesias, M.I.

    1991-05-01

    An approach to the study of electricity prices in Uruguay, emphasizing the relation linking prices, investment funds and loan requirements for the electric utility is presented. The main part of the work is a survey of the evolution of electricity prices, amounts of investment, an external debt of the Uruguayan electric power sector from 1973 to 1988. There is also a prospective analysis, to determine whether the current electricity price level would be able to ensure the electric system expansion, if current trends are maintained. (author)

  17. Can developing countries benefit from innovative pricing in the power sector?

    International Nuclear Information System (INIS)

    Hill, L.J.

    1991-01-01

    This study explores electricity pricing as a demand-side management (DSM) strategy, looking to the developed country experience for insights into the types of approaches currently used, their effects, and the direction in which electricity pricing is headed. The discussion should be especially useful for electric utilities in developing countries that are exploring alternatives to capacity expansion to meet current and future electric power demand. For these electric utilities, demand-side options are especially important under today's conditions in which the capital cost of new generating capacity is increasing rapidly, international funds for expanding power sectors are not expected to be sufficient for meeting projected capacity needs and environmental concerns over fossil fuel emissions have raised new questions about constructing thermal power plants. (author). 21 refs, 2 tabs

  18. Spot Markets Indices as Benchmarks of Formation of Future Price Trends in the Power Exchanges of Eastern Europe

    Directory of Open Access Journals (Sweden)

    Polikevych Nataliya I.

    2016-01-01

    Full Text Available The article is concerned with a theoretical generalization of the use of indices for electric power at the European spot exchanges and elaborating proposals on establishment of a similar spot index for the Ukrainian power exchange. 16 indices that are published daily by the power exchanges BSP Regional Energy Exchange, Power Exchange Central Europe, Polish Power Exchange and Opcom have been analyzed. It has been indicated that these indices are used for electricity price forecasting and monitoring the situation in the power market. The article examines the way spot indices are calculated by power exchanges, based on the value of the arithmetic average of market prices «day ahead». Imperfection of such way of calculation for price index values has been substantiated. The key characteristics of the future price index for Ukrainian spot market as benchmarks within the introduction of futures contracts for electricity have been identified.

  19. The impact of the EU emissions trading scheme on the price of electricity in the Netherlands

    International Nuclear Information System (INIS)

    Sijm, J.P.M.

    2004-02-01

    In this paper a specific aspect of the proposed EU Emissions Trading System (EU ETS) is discussed, namely the potential impact of the EU ETS on the price of electricity in the Netherlands and, hence, the potential implications for Dutch power producers and consumers. It shows that the EU ETS may lead to a significant increase in the price of electricity in the Netherlands (and other EU Member States), depending on the marginal costs of emissions trading (i.e. the price of an emission allowance), the emission factor of the marginal production technology to generate electricity, and the extent to which the costs of emissions trading will be passed on to the end-users of electricity. If, for one reason or another, these costs will not be passed on to power consumers, it will have an adverse impact on overall efficiency from both an energy and economic point of view. On the other hand, if - as expected - these costs are indeed passed on to end-users of electricity, it will benefit power producers (mainly owing to the economic rent of allocating emission allowances for free), while it will harm those energy-intensive industries that, in turn, are not able to pass the higher electricity costs to their customers (resulting in a loss of economic production and income). To some degree, these effects can be best avoided by auctioning emission allowances mandatory throughout the EU ETS and using the auction revenues to reduce the overall level of taxation and social premiums in order to improve the overall competitiveness of domestic industries and to (partly) compensate power consumers for the ET-induced increase in the price of electricity

  20. International comparison of energy price using a purchasing power parity

    Energy Technology Data Exchange (ETDEWEB)

    Yoo, Dong Hun; Jo, Sung Han [Korea Energy Economics Institute, Euiwang (Korea)

    1999-05-01

    The price control of government results in price distortion as well as lowering efficiency of energy market and distortion of allocating resources. Consequently, such a price policy leads to energy overconsumption and has negative influences on other policies trying to reduce environmental burden resulted from energy consumption. When the energy price does not reflect the market price properly, it results in inefficiency of energy industry and it makes very difficult to supply investment funds. Therefore, the government is planning to implement liberalization of energy price step by step. The purpose of this study is to provide basic materials for establishing a reasonable energy price policy through the international comparison among OECD countries on major products price focusing on petroleum products. To overcome problems of exchange rate, a purchasing power indicator from OECD was used for comparative analysis with OECD countries. 11 refs. 1 fig., 23 tabs.

  1. Nuclear Power and Ghana's Future Electricity Generation

    International Nuclear Information System (INIS)

    Ennison, I.; Dzobo, M.

    2011-01-01

    One of the major challenges facing Ghana in her developmental efforts is the generation of adequate and affordable electricity to meet increasing demand. Problems with the dependency on hydro power has brought insecurity in electricity supply due to periodic droughts. Thermal power systems have been introduced into the electricity generation mix to complement the hydro power supply but there are problems associated with their use. The high price of crude oil on the international market has made them expensive to run and the supply of less expensive gas from Steps are being taken to run the thermal plants on less expensive gas from Nigeria has delayed due to conflicts in the Niger Delta region and other factors. The existing situation has therefore called for the diversification of the electricity generation mix so as to ensure energy security and affordable power supply. This paper presents the nuclear option as a suitable alternative energy source which can be used to address the energy supply problems facing the nation as well the steps being taken towards its introduction in the national energy mix. In addition, electricity demand projections using the MAED model as well as other studies are presented. The expected electricity demand of 350000 GWh (4000MWyr) in 2030, exceeds the total electricity supply capability of the existing hydropower system, untapped hydro resources and the maximum amount of gas that can be imported from Nigeria through the West Africa pipeline. Also presented is a technological assessment on the type of nuclear reactor to be used. The technological assessment which was done based on economics, grid size, technological maturity, passive safety and standardization of reactor design, indicate that a medium sized pressurized water reactor (i.e. a PWR with capacity 300MW to 700MW) is the most favourable type of reactor. In addition the challenges facing the implementation of the nuclear power programme in Ghana are presented. (author)

  2. Electric power monthly, April 1993

    Energy Technology Data Exchange (ETDEWEB)

    1993-05-07

    The Electric Power Monthly is prepared by the Survey Management Division; Office of Coal, Nuclear, Electric and Alternate Fuels, Energy Information Administration (EIA), Department of Energy. This publication provides monthly statistics at the US, Census division, and State levels for net generation, fossil fuel consumption and stocks, quantity and quality of fossil fuels, cost of fossil fuels, electricity sales, revenue, and average revenue per kilowatthour of electricity sold. Data on net generation, fuel consumption, fuel stocks, quantity and cost of fossil fuels are also displayed for the North American Electric Reliability Council (NERC) regions.

  3. Electric power monthly, May 1993

    Energy Technology Data Exchange (ETDEWEB)

    1993-05-25

    The Electric Power Monthly (EPM) is prepared by the Survey Management Division; Office of Coal, Nuclear, Electric and Alternate Fuels, Energy Information Administration (EIA), Department of Energy. This publication provides monthly statistics at the US, Census division, and State levels for net generation, fossil fuel consumption and stocks, quantity and quality of fossil fuels, cost of fossil fuels, electricity sales, revenue, and average revenue per kilowatthour of electricity sold. Data on net generation, fuel consumption, fuel stocks, quantity and cost of fossil fuels are also displayed for the North American Electric Reliability Council (NERC) regions.

  4. 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.

  5. Market-driven energy pricing necessary to ensure China's power supply

    International Nuclear Information System (INIS)

    Wang, Qiang; Qiu, Huan-Ning; Kuang, Yaoqiu

    2009-01-01

    China's rapid economic growth has strained its power supply, as manifested for instance by the widespread 2008 power shortage. The cause for this shortage is thought to be the current Chinese energy pricing system, which is mainly government rather than market controlled. Government-regulated price-caps for coal have seriously affected coal supply. At the same time price-caps for electricity supply have caused suspension of power plant operation. As a result, the average operating time of coal-fired power plants declined 50 h annually across the nation in the first half of 2008 compared to the previous year, despite clear power shortages. Here, it will be suggested that energy pricing, set by supply and demand may effectively discourage excessive growth in heavy industry, substantially encourage energy conservation and efficiency, and curb the rapid electricity demand in China. It will be argued that a market-oriented electricity pricing mechanism is required for China to secure its future power supply. (author)

  6. Electrical power systems for Mars

    Science.gov (United States)

    Giudici, Robert J.

    1986-01-01

    Electrical power system options for Mars Manned Modules and Mars Surface Bases were evaluated for both near-term and advanced performance potential. The power system options investigated for the Mission Modules include photovoltaics, solar thermal, nuclear reactor, and isotope power systems. Options discussed for Mars Bases include the above options with the addition of a brief discussion of open loop energy conversion of Mars resources, including utilization of wind, subsurface thermal gradients, and super oxides. Electrical power requirements for Mission Modules were estimated for three basic approaches: as a function of crew size; as a function of electric propulsion; and as a function of transmission of power from an orbiter to the surface of Mars via laser or radio frequency. Mars Base power requirements were assumed to be determined by production facilities that make resources available for follow-on missions leading to the establishment of a permanently manned Base. Requirements include the production of buffer gas and propellant production plants.

  7. Autonomously managed electrical power systems

    Science.gov (United States)

    Callis, Charles P.

    1986-01-01

    The electric power systems for future spacecraft such as the Space Station will necessarily be more sophisticated and will exhibit more nearly autonomous operation than earlier spacecraft. These new power systems will be more reliable and flexible than their predecessors offering greater utility to the users. Automation approaches implemented on various power system breadboards are investigated. These breadboards include the Hubble Space Telescope power system test bed, the Common Module Power Management and Distribution system breadboard, the Autonomusly Managed Power System (AMPS) breadboard, and the 20 kilohertz power system breadboard. Particular attention is given to the AMPS breadboard. Future plans for these breadboards including the employment of artificial intelligence techniques are addressed.

  8. Day-ahead electricity prices forecasting by a modified CGSA technique and hybrid WT in LSSVM based scheme

    International Nuclear Information System (INIS)

    Shayeghi, H.; Ghasemi, A.

    2013-01-01

    Highlights: • Presenting a hybrid CGSA-LSSVM scheme for price forecasting. • Considering uncertainties for filtering in input data and feature selection to improve efficiency. • Using DWT input featured LSSVM approach to classify next-week prices. • Used three real markets to illustrate performance of the proposed price forecasting model. - Abstract: At the present time, day-ahead electricity market is closely associated with other commodity markets such as fuel market and emission market. Under such an environment, day-ahead electricity price forecasting has become necessary for power producers and consumers in the current deregulated electricity markets. Seeking for more accurate price forecasting techniques, this paper proposes a new combination of a Feature Selection (FS) technique based mutual information (MI) technique and Wavelet Transform (WT) in this study. Moreover, in this paper a new modified version of Gravitational Search Algorithm (GSA) optimization based chaos theory, namely Chaotic Gravitational Search Algorithm (CGSA) is developed to find the optimal parameters of Least Square Support Vector Machine (LSSVM) to predict electricity prices. The performance and price forecast accuracy of the proposed technique is assessed by means of real data from Iran’s, Ontario’s and Spain’s price markets. The simulation results from numerical tables and figures in different cases show that the proposed technique increases electricity price market forecasting accuracy than the other classical and heretical methods in the scientific researches

  9. 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

  10. Estimating the volatility of electricity