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Sample records for dynamic economic dispatch

  1. Dynamic Constrained Economic/Emission Dispatch Scheduling Using Neural Network

    Directory of Open Access Journals (Sweden)

    Farid Benhamida

    2013-01-01

    Full Text Available In this paper, a Dynamic Economic/Emission Dispatch (DEED problem is obtained by considering both the economy and emission objectives with required constraints dynamically. This paper presents an optimization algorithm for solving constrained combined economic emission dispatch (EED problem and DEED, through the application of neural network, which is a flexible Hopfield neural network (FHNN. The constrained DEED must not only satisfy the system load demand and the spinning reserve capacity, but some practical operation constraints of generators, such as ramp rate limits and prohibited operating zone, are also considered in practical generator operation. The feasibility of the proposed FHNN using to solve DEED is demonstrated using three power systems, and it is compared with the other methods in terms of solution quality and computation efficiency. The simulation results showed that the proposed FHNN method was indeed capable of obtaining higher quality solutions efficiently in constrained DEED and EED problems with a much shorter computation time compared to other methods.

  2. A fast and optimized dynamic economic load dispatch for large scale power systems

    International Nuclear Information System (INIS)

    Musse Mohamud Ahmed; Mohd Ruddin Ab Ghani; Ismail Hassan

    2000-01-01

    This paper presents Lagrangian Multipliers (LM) and Linear Programming (LP) based dynamic economic load dispatch (DELD) solution for large-scale power system operations. It is to minimize the operation cost of power generation. units subject to the considered constraints. After individual generator units are economically loaded and periodically dispatched, fast and optimized DELD has been achieved. DELD with period intervals has been taken into consideration The results found from the algorithm based on LM and LP techniques appear to be modest in both optimizing the operation cost and achieving fast computation. (author)

  3. Stochastic Optimization of Economic Dispatch for Microgrid Based on Approximate Dynamic Programming

    DEFF Research Database (Denmark)

    Shuai, Hang; Fang, Jiakun; Ai, Xiaomeng

    2018-01-01

    This paper proposes an approximate dynamic programming (ADP) based approach for the economic dispatch (ED) of microgrid with distributed generations (DGs). The time-variant renewable generation, electricity price and the power demand are considered as stochastic variables in this work. An ADP based...... ED (ADPED) algorithm is proposed to optimally operate the microgrid under these uncertainties. To deal with the uncertainties, Monte Carlo (MC) method is adopted to sample the training scenarios to give empirical knowledge to ADPED. The piecewise linear function (PLF) approximation with improved...

  4. Adaptive particle swarm optimization approach for static and dynamic economic load dispatch

    International Nuclear Information System (INIS)

    Panigrahi, B.K.; Ravikumar Pandi, V.; Das, Sanjoy

    2008-01-01

    This paper presents a novel heuristic optimization approach to constrained economic load dispatch (ELD) problems using the adaptive-variable population - PSO technique. The proposed methodology easily takes care of different constraints like transmission losses, dynamic operation constraints (ramp rate limits) and prohibited operating zones and also accounts for non-smoothness of cost functions arising due to the use of multiple fuels. Simulations were performed over various systems with different numbers of generating units, and comparisons are performed with other existing relevant approaches. The findings affirmed the robustness, fast convergence and proficiency of the proposed methodology over other existing techniques

  5. Hybrid integer coded differential evolution - dynamic programming approach for economic load dispatch with multiple fuel options

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    Balamurugan, R.; Subramanian, S. [Department of Electrical Engineering, Annamalai University, Annamalai Nagar 608 002 (India)

    2008-04-15

    This paper presents a novel and efficient approach through a hybrid integer coded differential evolution - dynamic programming (ICDEDP) scheme to solve the economic dispatch (ED) problem with multiple fuel options. A dynamic programming (DP) based simplified recursive algorithm is developed for optimal scheduling of the generating units in the ED problem. The proposed hybrid scheme is developed in such a way that an integer coded differential evolution (ICDE) is acting as a main optimizer to identify the optimal fuel options, and the DP is used to find the fitness of each agent in the population of the ICDE, which makes a quick decision to direct the search towards the optimal region. The hybrid ICDEDP decision vector consists of a sequence of integer numbers representing the fuel options of each unit to optimize quality of search and computation time. A gene swap operator is introduced in the proposed algorithm to improve its convergence characteristics. In order to show the efficiency and effectiveness, the proposed hybrid ICDEDP approach has been examined and tested with numerical results using the ten generation unit economic dispatch problem with multiple fuel options. The test result shows that the proposed hybrid ICDEDP algorithm has high quality solution, superior convergence characteristics and shorter computation time. (author)

  6. Multi-Objective Dynamic Economic Dispatch of Microgrid Systems Including Vehicle-to-Grid

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    Haitao Liu

    2015-05-01

    Full Text Available Based on the characteristics of electric vehicles (EVs, this paper establishes the load models of EVs under the autonomous charging mode and the coordinated charging and discharging mode. Integrating the EVs into a microgrid system which includes wind turbines (WTs, photovoltaic arrays (PVs, diesel engines (DEs, fuel cells (FCs and a storage battery (BS, this paper establishes multi-objective economic dispatch models of a microgrid, including the lowest operating cost, the least carbon dioxide emissions, and the lowest pollutant treatment cost. After converting the multi-objective functions to a single objective function by using the judgment matrix method, we analyze the dynamic economic dispatch of the microgrid system including vehicle-to-grid (V2G with an improved particle swarm optimization algorithm under different operation control strategies. With the example system, the proposed models and strategies are verified and analyzed. Simulation results show that the microgrid system with EVs under the coordinated charging and discharging mode has better operation economics than the autonomous charging mode. Meanwhile, the greater the load fluctuation is, the higher the operating cost of the microgrid system is.

  7. Hybrid DE-SQP Method for Solving Combined Heat and Power Dynamic Economic Dispatch Problem

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    A. M. Elaiw

    2013-01-01

    Full Text Available Combined heat and power dynamic economic dispatch (CHPDED plays a key role in economic operation of power systems. CHPDED determines the optimal heat and power schedule of committed generating units by minimizing the fuel cost under ramp rate constraints and other constraints. Due to complex characteristics, heuristic and evolutionary based optimization approaches have became effective tools to solve the CHPDED problem. This paper proposes hybrid differential evolution (DE and sequential quadratic programming (SQP to solve the CHPDED problem with nonsmooth and nonconvex cost function due to valve point effects. DE is used as a global optimizer and SQP is used as a fine tuning to determine the optimal solution at the final. The proposed hybrid DE-SQP method has been tested and compared to demonstrate its effectiveness.

  8. An Improved Differential Evolution Based Dynamic Economic Dispatch with Nonsmooth Fuel Cost Function

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    R. Balamurugan

    2007-09-01

    Full Text Available Dynamic economic dispatch (DED is one of the major operational decisions in electric power systems. DED problem is an optimization problem with an objective to determine the optimal combination of power outputs for all generating units over a certain period of time in order to minimize the total fuel cost while satisfying dynamic operational constraints and load demand in each interval. This paper presents an improved differential evolution (IDE method to solve the DED problem of generating units considering valve-point effects. Heuristic crossover technique and gene swap operator are introduced in the proposed approach to improve the convergence characteristic of the differential evolution (DE algorithm. To illustrate the effectiveness of the proposed approach, two test systems consisting of five and ten generating units have been considered. The results obtained through the proposed method are compared with those reported in the literature.

  9. An improved Pattern Search based algorithm to solve the Dynamic Economic Dispatch problem with valve-point effect

    International Nuclear Information System (INIS)

    Alsumait, J.S.; Qasem, M.; Sykulski, J.K.; Al-Othman, A.K.

    2010-01-01

    In this paper, an improved algorithm based on Pattern Search method (PS) to solve the Dynamic Economic Dispatch is proposed. The algorithm maintains the essential unit ramp rate constraint, along with all other necessary constraints, not only for the time horizon of operation (24 h), but it preserves these constraints through the transaction period to the next time horizon (next day) in order to avoid the discontinuity of the power system operation. The Dynamic Economic and Emission Dispatch problem (DEED) is also considered. The load balance constraints, operating limits, valve-point loading and network losses are included in the models of both DED and DEED. The numerical results clarify the significance of the improved algorithm and verify its performance.

  10. Dynamic Economic Dispatch Pada Sistem Kelistrikan Microgrid Dengan Penambahan Media Penyimpan Energi Menggunakan Quadratic Programming

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    Fakhruddin Wirakusuma

    2017-01-01

    Full Text Available Kebutuhan daya listrik saat ini meningkat pesat seiring dengan perkembangan teknologi. Peningkatan kebutuhan daya listrik ini bertolak belakang dengan menipisnya ketersediaan sumber energy minyak dan batu bara. Permasalahan ini berdampak pada ketahanan listrik nasional. Untuk memenuhi kebutuhan daya listrik yang besar dengan cakupan wilayah yang luas diperlukan pembangkit tersebar berskala kecil. Pembangkit tersebar ini diupayakan bersumber pada energi terbarukan untuk meminimalkan pemakaian dari sumber energy minyak dan batu bara lalu dihubungkan ke Micro Grid serta digunakan baterai sebagai power balance. Oleh karena banyaknya pembangkit tersebar dan penggunaan baterai maka penting untuk menentukan besarnya pembangkitan daya listrik yang optimal dari masing-masing pembangkit serta penggunaan baterai berdasarkan kapasitas yang optimal sehingga kebutuhan daya listrik dapat dipenuhi dengan biaya yang minimal tiap waktunya. Optimisasi ini dikenal dengan istilah Dynamic Economic Dispatch. Optimisasi ini sudah banyak dilakukan dilakukan dengan berbagai macam metode Artificial Intelligence. Pada penelitian ini, metode Artificial Intellegence yang diaplikasikan yakni Quadratic Programming. Metode ini diterapkan pada software MATLAB. Dengan metode tersebut, diketahui bahwa penggunaan baterai mampu mengurangi total biaya pembangkitan.

  11. A modified differential evolution approach for dynamic economic dispatch with valve-point effects

    International Nuclear Information System (INIS)

    Yuan Xiaohui; Wang Liang; Yuan Yanbin; Zhang Yongchuan; Cao Bo; Yang Bo

    2008-01-01

    Dynamic economic dispatch (DED) plays an important role in power system operation, which is a complicated non-linear constrained optimization problem. It has nonsmooth and nonconvex characteristic when generation unit valve-point effects are taken into account. This paper proposes a modified differential evolution approach (MDE) to solve DED problem with valve-point effects. In the proposed MDE method, feasibility-based selection comparison techniques and heuristic search rules are devised to handle constraints effectively. In contrast to the penalty function method, the constraints-handling method does not require penalty factors or any extra parameters and can guide the population to the feasible region quickly. Especially, it can be satisfied equality constraints of DED problem precisely. Moreover, the effects of two crucial parameters on the performance of the MDE for DED problem are studied as well. The feasibility and effectiveness of the proposed method is demonstrated for application example and the test results are compared with those of other methods reported in literature. It is shown that the proposed method is capable of yielding higher quality solutions

  12. Time-varying acceleration coefficients IPSO for solving dynamic economic dispatch with non-smooth cost function

    International Nuclear Information System (INIS)

    Mohammadi-ivatloo, Behnam; Rabiee, Abbas; Ehsan, Mehdi

    2012-01-01

    Highlights: ► New approach to solve power systems dynamic economic dispatch. ► Considering Valve-point effect, prohibited operation zones. ► Proposing TVAC-IPSO algorithm. - Abstract: The objective of the dynamic economic dispatch (DED) problem is to schedule power generation for the online units for a given time horizon economically, satisfying various operational constraints. Due to the effect of valve-point effects and prohibited operating zones (POZs) in the generating units cost functions, DED problem is a highly non-linear and non-convex optimization problem. The DED problem even may be more complicated if transmission losses and ramp-rate constraints are taken into account. This paper presents a novel and heuristic algorithm to solve DED problem of generating units, by employing time varying acceleration coefficients iteration particle swarm optimization (TVAC-IPSO) method. The effectiveness of the proposed method is examined and validated by carrying out extensive tests on different test systems, i.e. 5-unit and 10-unit test systems. Valve-point effects, POZs and ramp-rate constraints along with transmission losses are considered. To examine the efficiency of the proposed TVAC-IPSO algorithm, comprehensive studies are carried out, which compare convergence properties of the proposed TVAC-IPSO approach with conventional PSO algorithm, in addition to the other recently reported approaches. Numerical results show that the TVAC-IPSO method has good convergence properties and the generation costs resulted from the proposed method are lower than other algorithms reported in recent literature.

  13. A direct Newton-Raphson economic dispatch

    International Nuclear Information System (INIS)

    Lin, C.E.; Chen, S.T.; Huang, C.L.

    1992-01-01

    This paper presents a new method to solve the real-time economic dispatch problem using an alternative Jacobian matrix considering system constraints. The transition loss is approximately expressed in terms of generating powers and the generalized generation shift distribution factor. Based on this expression, a set of simultaneous equations of Jacobian matrix is formulated and solved by the Newton-Raphson method. The proposed method eliminates the penalty factor calculation, and solves the economic dispatch directly. The proposed method obtains very fast solution speed and maintains good accuracy from test examples. It is good approach to solve the economic dispatch problem

  14. A Refined Teaching-Learning Based Optimization Algorithm for Dynamic Economic Dispatch of Integrated Multiple Fuel and Wind Power Plants

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    Umamaheswari Krishnasamy

    2014-01-01

    Full Text Available Dynamic economic dispatch problem (DEDP for a multiple fuel power plant is a nonlinear and nonsmooth optimization problem when valve-point effects, multifuel effects, and ramp-rate limits are considered. Additionally wind energy is also integrated with the DEDP to supply the load for effective utilization of the renewable energy. Since the wind power may not be predicted, a radial basis function network (RBFN is presented to forecast a one-hour-ahead wind power to plan and ensure a reliable power supply. In this paper, a refined teaching-learning based optimization (TLBO is applied to minimize the overall cost of operation of wind-thermal power system. The TLBO is refined by integrating the sequential quadratic programming (SQP method to fine-tune the better solutions whenever discovered by the former method. To demonstrate the effectiveness of the proposed hybrid TLBO-SQP method, a standard DEDP and one practical DEDP with wind power forecasted are tested based on the practical information of wind speed. Simulation results validate the proposed methodology which is reasonable by ensuring quality solution throughout the scheduling horizon for secure operation of the system.

  15. Cost analysis of an electricity supply chain using modification of price based dynamic economic dispatch in wheeling transaction scheme

    Science.gov (United States)

    Wahyuda; Santosa, Budi; Rusdiansyah, Ahmad

    2018-04-01

    Deregulation of the electricity market requires coordination between parties to synchronize the optimization on the production side (power station) and the transport side (transmission). Electricity supply chain presented in this article is designed to facilitate the coordination between the parties. Generally, the production side is optimized with price based dynamic economic dispatch (PBDED) model, while the transmission side is optimized with Multi-echelon distribution model. Both sides optimization are done separately. This article proposes a joint model of PBDED and multi-echelon distribution for the combined optimization of production and transmission. This combined optimization is important because changes in electricity demand on the customer side will cause changes to the production side that automatically also alter the transmission path. The transmission will cause two cost components. First, the cost of losses. Second, the cost of using the transmission network (wheeling transaction). Costs due to losses are calculated based on ohmic losses, while the cost of using transmission lines using the MW - mile method. As a result, this method is able to provide best allocation analysis for electrical transactions, as well as emission levels in power generation and cost analysis. As for the calculation of transmission costs, the Reverse MW-mile method produces a cheaper cost than the Absolute MW-mile method

  16. Improved genetic algorithm for economic load dispatch in hydropower plants and comprehensive performance comparison with dynamic programming method

    Science.gov (United States)

    Shang, Yizi; Lu, Shibao; Gong, Jiaguo; Liu, Ronghua; Li, Xiang; Fan, Qixiang

    2017-11-01

    This paper presents a practical genetic algorithm (GA)-based solution for solving the economic load dispatch problem (ELDP) and further compares the performance of the improved GA (IGA) with that of dynamic programming (DP). Specifically, their performance is comprehensively evaluated in terms of addressing the ELDP through a case study of 26 turbines in the Three Gorges Hydropower Plant with a focus on calculation accuracy, calculation time, and algorithm stability. Evaluation results show that the improved GA method can significantly reduce the ineffectiveness of the GA in current use and could avoid the running of the turbines in the cavitation/vibration zone, thereby ensuring the safety of the turbines during generating operations. Further, the analysis comparing the performance of the IGA and DP show that the IGA is superior to DP when a small number of turbines are involved. However, as the number of turbines increases, the IGA requires more calculation time than DP; moreover, its calculation accuracy and convergence rate are significantly reduced. It is difficult to guarantee the stability of IGA in high-dimension space even though the population grows, on account of the exponential expansion of the calculation dimension, the algorithm's premature convergence, and the lack of a local search capability. The improvement of the GA as well as the evaluation method proposed in this paper provide a new approach for choosing and improving optimization algorithms to solve the ELDP of large-scale hydropower plants.

  17. Development and implementation of a dynamic TES dispatch control component in a PV-CSP techno-economic performance modelling tool

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    Hansson, Linus; Guédez, Rafael; Larchet, Kevin; Laumert, Bjorn

    2017-06-01

    The dispatchability offered by thermal energy storage (TES) in concentrated solar power (CSP) and solar hybrid plants based on such technology presents the most important difference compared to power generation based only on photovoltaics (PV). This has also been one reason for recent hybridization efforts of the two technologies and the creation of Power Purchase Agreement (PPA) payment schemes based on offering higher payment multiples during daily hours of higher (peak or priority) demand. Recent studies involving plant-level thermal energy storage control strategies are however to a large extent based on pre-determined approaches, thereby not taking into account the actual dynamics of thermal energy storage system operation. In this study, the implementation of a dynamic dispatch strategy in the form of a TRNSYS controller for hybrid PV-CSP plants in the power-plant modelling tool DYESOPT is presented. In doing this it was attempted to gauge the benefits of incorporating a day-ahead approach to dispatch control compared to a fully pre-determined approach determining hourly dispatch only once prior to annual simulation. By implementing a dynamic strategy, it was found possible to enhance technical and economic performance for CSP-only plants designed for peaking operation and featuring low values of the solar multiple. This was achieved by enhancing dispatch control, primarily by taking storage levels at the beginning of every simulation day into account. The sequential prediction of the TES level could therefore be improved, notably for evaluated plants without integrated PV, for which the predicted storage levels deviated less than when PV was present in the design. While also featuring dispatch performance gains, optimal plant configurations for hybrid PV-CSP was found to present a trade-off in economic performance in the form of an increase in break-even electricity price when using the dynamic strategy which was offset to some extent by a reduction in

  18. Adaptive grid based multi-objective Cauchy differential evolution for stochastic dynamic economic emission dispatch with wind power uncertainty.

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    Zhang, Huifeng; Lei, Xiaohui; Wang, Chao; Yue, Dong; Xie, Xiangpeng

    2017-01-01

    Since wind power is integrated into the thermal power operation system, dynamic economic emission dispatch (DEED) has become a new challenge due to its uncertain characteristics. This paper proposes an adaptive grid based multi-objective Cauchy differential evolution (AGB-MOCDE) for solving stochastic DEED with wind power uncertainty. To properly deal with wind power uncertainty, some scenarios are generated to simulate those possible situations by dividing the uncertainty domain into different intervals, the probability of each interval can be calculated using the cumulative distribution function, and a stochastic DEED model can be formulated under different scenarios. For enhancing the optimization efficiency, Cauchy mutation operation is utilized to improve differential evolution by adjusting the population diversity during the population evolution process, and an adaptive grid is constructed for retaining diversity distribution of Pareto front. With consideration of large number of generated scenarios, the reduction mechanism is carried out to decrease the scenarios number with covariance relationships, which can greatly decrease the computational complexity. Moreover, the constraint-handling technique is also utilized to deal with the system load balance while considering transmission loss among thermal units and wind farms, all the constraint limits can be satisfied under the permitted accuracy. After the proposed method is simulated on three test systems, the obtained results reveal that in comparison with other alternatives, the proposed AGB-MOCDE can optimize the DEED problem while handling all constraint limits, and the optimal scheme of stochastic DEED can decrease the conservation of interval optimization, which can provide a more valuable optimal scheme for real-world applications.

  19. Multi-objective dynamic economic emission dispatch of electric power generation integrated with game theory based demand response programs

    International Nuclear Information System (INIS)

    Nwulu, Nnamdi I.; Xia, Xiaohua

    2015-01-01

    Highlights: • In this work, a game theory based DR program is integrated into the DEED problem. • Objectives are to minimize fuel and emissions costs and maximize the DR benefit. • Optimal generator output, customer load and customer incentive are determined. • Developed model is tested with two different scenarios. • Model provides superior results than independent optimization of DR or DEED. - Abstract: The dynamic economic emission dispatch (DEED) of electric power generation is a multi-objective mathematical optimization problem with two objective functions. The first objective is to minimize all the fuel costs of the generators in the power system, whilst the second objective seeks to minimize the emissions cost. Both objective functions are subject to constraints such as load demand constraint, ramp rate constraint, amongst other constraints. In this work, we integrate a game theory based demand response program into the DEED problem. The game theory based demand response program determines the optimal hourly incentive to be offered to customers who sign up for load curtailment. The game theory model has in built mechanisms to ensure that the incentive offered the customers is greater than the cost of interruption while simultaneously being beneficial to the utility. The combined DEED and game theoretic demand response model presented in this work, minimizes fuel and emissions costs and simultaneously determines the optimal incentive and load curtailment customers have to perform for maximal power system relief. The developed model is tested on two test systems with industrial customers and obtained results indicate the practical benefits of the proposed model

  20. Heuristics for the economic dispatch problem

    Energy Technology Data Exchange (ETDEWEB)

    Flores, Benjamin Carpio [Centro Nacional de Controle de Energia (CENACE), Mexico, D.F. (Mexico). Dept. de Planificacion Economica de Largo Plazo], E-mail: benjamin.carpo@cfe.gob.mx; Laureano Cruces, A.L.; Lopez Bracho, R.; Ramirez Rodriguez, J. [Universidad Autonoma Metropolitana (UAM), Mexico, D.F. (Brazil). Dept. de Sistemas], Emails: clc@correo.azc.uam.mx, rlb@correo.azc.uam.mx, jararo@correo.azc.uam.mx

    2009-07-01

    This paper presents GRASP (Greedy Randomized Adaptive Search Procedure), Simulated Annealing (SAA), Genetic (GA), and Hybrid Genetic (HGA) Algorithms for the economic dispatch problem (EDP), considering non-convex cost functions and dead zones the only restrictions, showing the results obtained. We also present parameter settings that are specifically applicable to the EDP, and a comparative table of results for each heuristic. It is shown that these methods outperform the classical methods without the need to assume convexity of the target function. (author)

  1. Analyzing the effect of dynamic loads on economic dispatch in the presence of interline power flow controller using modified BAT algorithm

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    Y.N. Vijay Kumar

    2016-05-01

    Full Text Available Now a day, non-uniform increase of demand on a power system turns the research toward the dynamic analysis. In this paper, to perform dynamic analysis and to solve economic load dispatch problem using optimal power flow (OPF, four realistic load levels are considered. Further, the effectiveness of the objective has been enhanced in the presence of interline power flow controller (IPFC. An optimal location identification methodology for IPFC based on line stability index (LSI is also presented. The effect of ramp-rate limits on generations and the effect of dynamic loads on generation fuel cost and transmission losses are also analyzed on standard IEEE-30 bus and real time 23 bus test systems with supporting validations, numerical and graphical results.

  2. Economic dispatch using chaotic bat algorithm

    International Nuclear Information System (INIS)

    Adarsh, B.R.; Raghunathan, T.; Jayabarathi, T.; Yang, Xin-She

    2016-01-01

    This paper presents the application of a new metaheuristic optimization algorithm, the chaotic bat algorithm for solving the economic dispatch problem involving a number of equality and inequality constraints such as power balance, prohibited operating zones and ramp rate limits. Transmission losses and multiple fuel options are also considered for some problems. The chaotic bat algorithm, a variant of the basic bat algorithm, is obtained by incorporating chaotic sequences to enhance its performance. Five different example problems comprising 6, 13, 20, 40 and 160 generating units are solved to demonstrate the effectiveness of the algorithm. The algorithm requires little tuning by the user, and the results obtained show that it either outperforms or compares favorably with several existing techniques reported in literature. - Highlights: • The chaotic bat algorithm, a new metaheuristic optimization algorithm has been used. • The problem solved – the economic dispatch problem – is nonlinear, discontinuous. • It has number of equality and inequality constraints. • The algorithm has been demonstrated to be applicable on high dimensional problems.

  3. Solving unit commitment and economic load dispatch problems ...

    African Journals Online (AJOL)

    Solving unit commitment and economic load dispatch problems using modern optimization algorithms. ... International Journal of Engineering, Science and Technology ... Economic Load Dispatch (ELD) and Unit Commitment (UC) are very important applications to predict the optimized cost of load in a power system.

  4. Secured Economic Dispatch Algorithm using GSDF Matrix

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    Slimane SOUAG

    2014-02-01

    Full Text Available In this paper we present a new method for solving the secured power flow problem by the economic dispatch using DC power flow method and Generation Shift Distribution Factor (GSDF. A graphical interface in LabVIEW has been created as a virtual instrument. Hence the DC power flow reduces the power flow problem to a set of linear equations, which make the iterative calculation very fast and the GSFD matrix present the effects of single and multiple generator MW change on the transmission line. The effectiveness of the method developed is identified through its application to an IEEE-14 bus test system. The calculation results show excellent performance of the proposed method, in regard to computation time and quality of results.

  5. Real-time Distributed Economic Dispatch forDistributed Generation Based on Multi-Agent System

    DEFF Research Database (Denmark)

    Luo, Kui; Wu, Qiuwei; Nielsen, Arne Hejde

    2015-01-01

    The distributed economic dispatch for distributed generation is formulated as a optimization problem with equality and inequality constraints. An effective distributed approach based on multi-agent system is proposed for solving the economic dispatch problem in this paper. The proposed approach...... consists of two stages. In the first stage, an adjacency average allocation algorithm is proposed to ensure the generation-demand equality. In the second stage, a local replicator dynamics algorithm is applied to achieve nash equilibrium for the power dispatch game. The approach is implemented in a fully...

  6. Using Evolutionary Computation to Solve the Economic Load Dispatch Problem

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    Samir SAYAH

    2008-06-01

    Full Text Available This paper reports on an evolutionary algorithm based method for solving the economic load dispatch (ELD problem. The objective is to minimize the nonlinear function, which is the total fuel cost of thermal generating units, subject to the usual constraints.The IEEE 30 bus test system was used for testing and validation purposes. The results obtained demonstrate the effectiveness of the proposed method for solving the economic load dispatch problem.

  7. New methodology for dynamic lot dispatching

    Science.gov (United States)

    Tai, Wei-Herng; Wang, Jiann-Kwang; Lin, Kuo-Cheng; Hsu, Yi-Chin

    1994-09-01

    This paper presents a new dynamic dispatching rule to improve delivery. The dynamic dispatching rule named `SLACK and OTD (on time delivery)' is developed for focusing on due date and target cycle time under the environment of IC manufacturing. This idea uses traditional SLACK policy to control long term due date and new OTD policy to reflect the short term stage queue time. Through the fuzzy theory, these two policies are combined as the dispatching controller to define the lot priority in the entire production line. Besides, the system would automatically update the lot priority according to the current line situation. Since the wafer dispatching used to be controlled by critical ratio that indicates the low customer satisfaction. And the overall slack time in the front end of the process is greater compared to that in the rear end of the process which reveals that the machines in the rear end are overloaded by rush orders. When SLACK and OTD are used the due date control has been gradually improved. The wafer with either a long stage queue time or urgent due date will be pushed through the overall production line instead of jammed in the front end. A demand pull system is also developed to satisfy not only due date but also the quantity of monthly demand. The SLACK and OTD rule has been implemented in Taiwan Semiconductor Manufacturing Company for eight months with beneficial results. In order to clearly monitor the SLACK and OTD policy, a method called box chart is generated to simulate the entire production system. From the box chart, we can not only monitor the result of decision policy but display the production situation on the density figure. The production cycle time and delivery situation can also be investigated.

  8. Multiobjective Economic Load Dispatch Problem Solved by New PSO

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    Nagendra Singh

    2015-01-01

    Full Text Available Proposed in this paper is a new particle swarm optimization technique for the solution of economic load dispatch as well as environmental emission of the thermal power plant with power balance and generation limit constraints. Economic load dispatch is an online problem to minimize the total generating cost of the thermal power plant and satisfy the equality and inequality constraints. Thermal power plants use fossil fuels for the generation of power; fossil fuel emits many toxic gases which pollute the environment. This paper not only considers the economic load dispatch problem to reduce the total generation cost of the thermal power plant but also deals with environmental emission minimization. In this paper, fuel cost and the environmental emission functions are considered and formulated as a multiobjective economic load dispatch problem. For obtaining the solution of multiobjective economic load dispatch problem a new PSO called moderate random search PSO was used. MRPSO enhances the ability of particles to explore in the search spaces more effectively and increases their convergence rates. The proposed algorithm is tested for the IEEE 30 bus test systems. The results obtained by MRPSO algorithm show that it is effective and efficient.

  9. An efficient scenario-based and fuzzy self-adaptive learning particle swarm optimization approach for dynamic economic emission dispatch considering load and wind power uncertainties

    International Nuclear Information System (INIS)

    Bahmani-Firouzi, Bahman; Farjah, Ebrahim; Azizipanah-Abarghooee, Rasoul

    2013-01-01

    Renewable energy resources such as wind power plants are playing an ever-increasing role in power generation. This paper extends the dynamic economic emission dispatch problem by incorporating wind power plant. This problem is a multi-objective optimization approach in which total electrical power generation costs and combustion emissions are simultaneously minimized over a short-term time span. A stochastic approach based on scenarios is suggested to model the uncertainty associated with hourly load and wind power forecasts. A roulette wheel technique on the basis of probability distribution functions of load and wind power is implemented to generate scenarios. As a result, the stochastic nature of the suggested problem is emancipated by decomposing it into a set of equivalent deterministic problem. An improved multi-objective particle swarm optimization algorithm is applied to obtain the best expected solutions for the proposed stochastic programming framework. To enhance the overall performance and effectiveness of the particle swarm optimization, a fuzzy adaptive technique, θ-search and self-adaptive learning strategy for velocity updating are used to tune the inertia weight factor and to escape from local optima, respectively. The suggested algorithm goes through the search space in the polar coordinates instead of the Cartesian one; whereby the feasible space is more compact. In order to evaluate the efficiency and feasibility of the suggested framework, it is applied to two test systems with small and large scale characteristics. - Highlights: ► Formulates multi-objective DEED problem under a stochastic programming framework. ► Considers uncertainties related to forecasted values of load demand and wind power. ► Proposes an interactive fuzzy satisfying method based on the novel FSALPSO. ► Presents a new self-adaptive learning strategy to improve original PSO algorithm

  10. Reserve-constrained economic dispatch: Cost and payment allocations

    Energy Technology Data Exchange (ETDEWEB)

    Misraji, Jaime [Sistema Electrico Nacional Interconectado de la Republica Dominicana, Calle 3, No. 3, Arroyo Hondo 1, Santo Domingo, Distrito Nacional (Dominican Republic); Conejo, Antonio J.; Morales, Juan M. [Department of Electrical Engineering, Universidad de Castilla-La Mancha, Campus Universitario s/n, 13071 Ciudad Real (Spain)

    2008-05-15

    This paper extends basic economic dispatch analytical results to the reserve-constrained case. For this extended problem, a cost and payment allocation analysis is carried out and a detailed economic interpretation of the results is provided. Sensitivity values (Lagrange multipliers) are also analyzed. A case study is considered to illustrate the proposed analysis. Conclusions are duly drawn. (author)

  11. Economic Dispatch of Hydrogen Systems in Energy Spot Markets

    DEFF Research Database (Denmark)

    You, Shi; Nørgård, Per Bromand

    2015-01-01

    Hydrogen system, as a new energy carrier, could deliver clean and efficient energy services in a wide range of applications. This paper presents an economic dispatch-based mathematical model that facilitates investigations on the techno-economic feasibility of hydrogen systems in the context...

  12. Evaluation of Control Structures for Dynamic Dispatch in Java

    OpenAIRE

    Zendra, Olivier; Driesen, Karel

    2002-01-01

    Dynamic dispatch, or late binding of function calls, is a salient feature of object-oriented programming languages like C++ and Java. It can be costly on deeply pipelined processors, because dynamic calls translate to hard to predict multi-way branch instructions, which are prone to causing pipeline bubbles. Several alternative implementation techniques have been designed in the past in order to perform dynamic dispatch without relying on these expensive branch instructions. Unfortunately it ...

  13. Stress-testing Control Structures for Dynamic Dispatch in Java

    OpenAIRE

    Zendra, Olivier; Driesen, Karel

    2002-01-01

    Dynamic dispatch, or late binding of function calls, is a salient feature of object-oriented programming languages like C++ and Java. It can be costly on deeply pipelined processors, because dynamic calls translate to hard-to-predict indirect branch instructions, which are prone to causing pipeline bubbles. Several alternative implementation techniques have been designed in the past in order to perform dynamic dispatch without relying on these expensive branch instructions. Unfortunately it i...

  14. Load allocation of power plant using multi echelon economic dispatch

    Science.gov (United States)

    Wahyuda, Santosa, Budi; Rusdiansyah, Ahmad

    2017-11-01

    In this paper, the allocation of power plant load which is usually done with a single echelon as in the load flow calculation, is expanded into a multi echelon. A plant load allocation model based on the integration of economic dispatch and multi-echelon problem is proposed. The resulting model is called as Single Objective Multi Echelon Economic Dispatch (SOME ED). This model allows the distribution of electrical power in more detail in the transmission and distribution substations along the existing network. Considering the interconnection system where the distance between the plant and the load center is usually far away, therefore the loss in this model is seen as a function of distance. The advantages of this model is its capability of allocating electrical loads properly, as well as economic dispatch information with the flexibility of electric power system as a result of using multi-echelon. In this model, the flexibility can be viewed from two sides, namely the supply and demand sides, so that the security of the power system is maintained. The model was tested on a small artificial data. The results demonstrated a good performance. It is still very open to further develop the model considering the integration with renewable energy, multi-objective with environmental issues and applied to the case with a larger scale.

  15. Online solving of economic dispatch problem using neural network approach and comparing it with classical method

    International Nuclear Information System (INIS)

    Mohammadi, A.; Varahram, M.H.

    2007-01-01

    In this study, two methods for solving economic dispatch problems, namely Hopfield neural network and lambda iteration method are compared. Three sample of power system with 3, 6 and 20 units have been considered. The time required for CPU, for solving economic dispatch of these two systems has been calculated. It has been Shown that for on-line economic dispatch, Hopfield neural network is more efficient and the time required for Convergence is considerably smaller compared to classical methods. (author)

  16. Multiperiod hydrothermal economic dispatch by an interior point method

    Directory of Open Access Journals (Sweden)

    Kimball L. M.

    2002-01-01

    Full Text Available This paper presents an interior point algorithm to solve the multiperiod hydrothermal economic dispatch (HTED. The multiperiod HTED is a large scale nonlinear programming problem. Various optimization methods have been applied to the multiperiod HTED, but most neglect important network characteristics or require decomposition into thermal and hydro subproblems. The algorithm described here exploits the special bordered block diagonal structure and sparsity of the Newton system for the first order necessary conditions to result in a fast efficient algorithm that can account for all network aspects. Applying this new algorithm challenges a conventional method for the use of available hydro resources known as the peak shaving heuristic.

  17. Annealed Demon Algorithms Solving the Environmental / Economic Dispatch Problem

    Directory of Open Access Journals (Sweden)

    Aristidis VLACHOS

    2013-06-01

    Full Text Available This paper presents an efficient and reliable Annealed Demon (AD algorithm for the Environmental/Economic Dispatch (EEB problem. The EED problem is a multi-objective non-linear optimization problem with constraints. This problem is one of the fundamentals issues in power system operation. The system of generation associates thermal generators and emissions which involves sulphur oxides (SO2 and nitrogen oxides (NOx. The aim is to minimize total fuel cost of the system and control emission. The proposed AD algorithm is applied for EED of a simple power system.

  18. An Approximate Dynamic Programming Mode for Optimal MEDEVAC Dispatching

    Science.gov (United States)

    2015-03-26

    Robbins, PhD Chair LTC Brian J. Lunday, PhD Member AFIT-ENS-MS-15-M-115 Abstract We develop a Markov decision process ( MDP ) model to examine military...medical evacuation (MEDEVAC) dispatch policies. To solve the MDP , we apply an ap- proximate dynamic programming (ADP) technique. The problem of deciding...Methodology . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 3.1 MDP Formulation

  19. Security and Cloud Outsourcing Framework for Economic Dispatch

    International Nuclear Information System (INIS)

    Sarker, Mushfiqur R.; Wang, Jianhui

    2017-01-01

    The computational complexity and problem sizes of power grid applications have increased significantly with the advent of renewable resources and smart grid technologies. The current paradigm of solving these issues consist of inhouse high performance computing infrastructures, which have drawbacks of high capital expenditures, maintenance, and limited scalability. Cloud computing is an ideal alternative due to its powerful computational capacity, rapid scalability, and high cost-effectiveness. A major challenge, however, remains in that the highly confidential grid data is susceptible for potential cyberattacks when outsourced to the cloud. In this work, a security and cloud outsourcing framework is developed for the Economic Dispatch (ED) linear programming application. As a result, the security framework transforms the ED linear program into a confidentiality-preserving linear program, that masks both the data and problem structure, thus enabling secure outsourcing to the cloud. Results show that for large grid test cases the performance gain and costs outperforms the in-house infrastructure.

  20. An improved harmony search algorithm for power economic load dispatch

    International Nuclear Information System (INIS)

    Santos Coelho, Leandro dos; Mariani, Viviana Cocco

    2009-01-01

    A meta-heuristic algorithm called harmony search (HS), mimicking the improvisation process of music players, has been recently developed. The HS algorithm has been successful in several optimization problems. The HS algorithm does not require derivative information and uses stochastic random search instead of a gradient search. In addition, the HS algorithm is simple in concept, few in parameters, and easy in implementation. This paper presents an improved harmony search (IHS) algorithm based on exponential distribution for solving economic dispatch problems. A 13-unit test system with incremental fuel cost function taking into account the valve-point loading effects is used to illustrate the effectiveness of the proposed IHS method. Numerical results show that the IHS method has good convergence property. Furthermore, the generation costs of the IHS method are lower than those of the classical HS and other optimization algorithms reported in recent literature.

  1. Differential Evolution with Gaussian Mutation for Economic Dispatch

    Science.gov (United States)

    Basu, Mousumi; Jena, Chitralekha; Panigrahi, Chinmoy Kumar

    2016-12-01

    This paper presents differential evolution with Gaussian mutation (DEGM) to solve economic dispatch problem of thermal generating units with non-smooth/non-convex cost functions due to valve-point loading, taking into account transmission losses and nonlinear generator constraints such as prohibited operating zones. Differential evolution (DE) is a simple yet powerful global optimization technique. It exploits the differences of randomly sampled pairs of objective vectors for its mutation process. This mutation process is not suitable for complex multimodal optimization. This paper proposes Gaussian mutation in DE which improves search efficiency and guarantees a high probability of obtaining the global optimum without significantly impairing the simplicity of the structure of DE. The effectiveness of the proposed method has been verified on three different test systems. From the comparison with other evolutionary methods, it is found that DEGM based approach is able to provide better solution.

  2. A particle swarm approach to solve environmental/economic dispatch problem

    Directory of Open Access Journals (Sweden)

    Yee Ming Chen

    2010-06-01

    Full Text Available This paper proposes a particle swarm optimization (PSO algorithm to solve various types of economic dispatch (ED problems in power systems such as, environmental/economic dispatch (EED and multi-area environmental/economic dispatch. The proposed model considers the environmental impact to achieve the minimization of fuel costs and pollutant emissions, simultaneously. The EED problem is further extended to dispatch the power among different areas to aid emission allowance trading. The performance of the proposed PSO is compared with conventional method and genetic algorithm. The results clearly show that the proposed algorithms give global optimum solution compared to the other methods. The results obtained also show that the proposed PSO algorithms can provide comparable dispatch solutions with reduced computation time for all types of ED problems.

  3. Heat Transfer Search Algorithm for Non-convex Economic Dispatch Problems

    Science.gov (United States)

    Hazra, Abhik; Das, Saborni; Basu, Mousumi

    2018-03-01

    This paper presents Heat Transfer Search (HTS) algorithm for the non-linear economic dispatch problem. HTS algorithm is based on the law of thermodynamics and heat transfer. The proficiency of the suggested technique has been disclosed on three dissimilar complicated economic dispatch problems with valve point effect; prohibited operating zone; and multiple fuels with valve point effect. Test results acquired from the suggested technique for the economic dispatch problem have been fitted to that acquired from other stated evolutionary techniques. It has been observed that the suggested HTS carry out superior solutions.

  4. Static economic dispatch incorporating wind farm using Flower pollination algorithm

    Directory of Open Access Journals (Sweden)

    Suresh Velamuri

    2016-09-01

    Full Text Available Renewable energy is one of the clean and cheapest forms of energy which helps in minimizing the carbon foot print. Due to the less environmental impact and economic issues integration of renewable energy sources with the existing network gained attention. In this paper, the impact of wind energy is analysed in a power system network using static economic dispatch (SED. The wind energy is integrated with the existing thermal systems. Here, the generation scheduling is optimized using Flower pollination algorithm (FPA due to its robustness in solving nonlinear problems. Integration of wind power in the existing system increases the complexity due to its stochastic nature. Weibull distribution function is used for solving the stochastic nature of wind. Scenarios without and with wind power penetration are discussed in detail. The analysis is carried out by considering the losses and installing the wind farm at different locations in the system. The proposed methodology is tested and validated on a standard IEEE 30 bus system.

  5. Economic Dispatch of Demand Response Balancing through Asymmetric Block Offers

    DEFF Research Database (Denmark)

    O'Connell, Niamh; Pinson, Pierre; Madsen, Henrik

    2015-01-01

    This paper proposes a method of describing the load shifting ability of flexible electrical loads in a manner suitable for existing power system dispatch frameworks. The concept of an asymmetric block offer for flexible loads is introduced. This offer structure describes the ability of a flexible...... load to provide a response to the power system and the subsequent need to recover. The conventional system dispatch algorithm is altered to facilitate the dispatch of demand response units alongside generating units using the proposed offer structure. The value of demand response is assessed through...... case studies that dispatch flexible supermarket refrigeration loads for the provision of regulating power. The demand resource is described by a set of asymmetric blocks, and a set of four blocks offers is shown to offer cost savings for the procurement of regulating power in excess of 20...

  6. Economic Dispatch for Operating Cost Minimization under Real Time Pricing in Droop Controlled DC Microgrid

    DEFF Research Database (Denmark)

    Li, Chendan; Federico, de Bosio; Chen, Fang

    2017-01-01

    In this paper, an economic dispatch problem for total operation cost minimization in DC microgrids is formulated. An operating cost is associated with each generator in the microgrid, including the utility grid, combining the cost-efficiency of the system with demand response requirements...... consumption and electricity prices, the proposed method can successfully reduce the operating cost by dispatching economically the resources in the microgrid....

  7. Adaptive Differential Evolution Approach for Constrained Economic Power Dispatch with Prohibited Operating Zones

    Directory of Open Access Journals (Sweden)

    Abdellatif HAMOUDA

    2011-12-01

    Full Text Available Economic power dispatch (EPD is one of the main tools for optimal operation and planning of modern power systems. To solve effectively the EPD problem, most of the conventional calculus methods rely on the assumption that the fuel cost characteristic of a generating unit is a continuous and convex function, resulting in inaccurate dispatch. This paper presents the design and application of efficient adaptive differential evolution (ADE algorithm for the solution of the economic power dispatch problem, where the non-convex characteristics of the generators, such us prohibited operating zones and ramp rate limits of the practical generator operation are considered. The 26 bus benchmark test system with 6 units having prohibited operating zones and ramp rate limits was used for testing and validation purposes. The results obtained demonstrate the effectiveness of the proposed method for solving the non-convex economic dispatch problem.

  8. A Three-Stage Optimal Approach for Power System Economic Dispatch Considering Microgrids

    Directory of Open Access Journals (Sweden)

    Wei-Tzer Huang

    2016-11-01

    Full Text Available The inclusion of microgrids (MGs in power systems, especially distribution-substation-level MGs, significantly affects power systems because of the large volumes of import and export power flows. Consequently, power dispatch has become complicated, and finding an optimal solution is difficult. In this study, a three-stage optimal power dispatch model is proposed to solve such dispatch problems. In the proposed model, the entire power system is divided into two parts, namely, the main power grid and MGs. The optimal power dispatch problem is resolved on the basis of multi-area concepts. In stage I, the main power system economic dispatch (ED problem is solved by sensitive factors. In stage II, the optimal power dispatches of the local MGs are addressed via an improved direct search method. In stage III, the incremental linear models for the entire power system can be established on the basis of the solutions of the previous two stages and can be subjected to linear programming to determine the optimal reschedules from the original dispatch solutions. The proposed method is coded using Matlab and tested by utilizing an IEEE 14-bus test system to verify its feasibility and accuracy. Results demonstrated that the proposed approach can be used for the ED of power systems with MGs as virtual power plants.

  9. A spatially and temporally resolved model of the electricity grid – Economic vs environmental dispatch

    International Nuclear Information System (INIS)

    Razeghi, Ghazal; Brouwer, Jack; Samuelsen, Scott

    2016-01-01

    Highlights: • A spatially and temporally resolved dispatch model is developed. • MCP and average price of electricity are determined for 2050 base case. • Economic and environmental dispatch strategies are assessed. • Environmental dispatch results in significant NO x reduction and higher prices. • A combination of economic and environmental strategies is the preferred method. - Abstract: Substantial changes need to occur in the electricity generation sector in order to address greenhouse gas and urban air quality goals. These goals, combined with increasing energy prices, have led to elevated interest in alternative, low to zero carbon and pollutant emission technologies in this sector. The challenge is to assess the impacts of various technologies, policies, and market practices in order to develop a roadmap to meet energy and environmental goals. To this end, a spatially and temporally resolved resource dispatch model is developed that simulates an electricity market while taking into account physical constraints associated with various components of an electricity grid. Multiple technology simulation modules are developed to provide inputs to the model. The model is used to design a market-based grid, and to develop and evaluate different dispatch strategies. To maintain the system cost at acceptable levels and reduce emissions, the results reveal that the best approach is a combination of economic and environmental dispatch strategies. The methodology and the tools developed provide a means to examine various aspects of future scenarios and their impacts on different sectors, and can be used for both decision making and planning.

  10. Decentralized Economic Dispatch Scheme With Online Power Reserve for Microgrids

    DEFF Research Database (Denmark)

    Nutkani, I. U.; Loh, Poh Chiang; Wang, P.

    2017-01-01

    costs, their power ratings, and other necessary constraints, before deciding the DG dispatch priorities and droop characteristics. The proposed scheme also allows online power reserve to be set and regulated within the microgrid. This, together with the generation cost saved, has been verified...

  11. Economic Dispatch of Electric Energy Storage with Multi-service Provision

    DEFF Research Database (Denmark)

    You, Shi; Træholt, Chresten; Poulsen, Bjarne

    2011-01-01

    This paper develops a generic optimization model that explores the difficulty met by Electric Energy Storage (EES) systems when economic dispatch for multiple-service provision is requested. Such a model is further used to investigate the economic performance of an EES system which meets the 10......-minute balancing requirement and hourly load shifting opportunities in the Western Electricity Coordinating Council (WECC) area for a 2030 load scenario. Piecewise linear equations are used to represent the cost function of varying load. The results show that when EES is economically dispatched...

  12. A Memetic Approach for Improving Minimum Cost of Economic Load Dispatch Problems

    Directory of Open Access Journals (Sweden)

    Jinho Kim

    2014-01-01

    Full Text Available Economic load dispatch problem is a popular optimization problem in electrical power system field, which has been so far tackled by various mathematical and metaheuristic approaches including Lagrangian relaxation, branch and bound method, genetic algorithm, tabu search, particle swarm optimization, harmony search, and Taguchi method. On top of these techniques, this study proposes a novel memetic algorithm scheme combining metaheuristic algorithm and gradient-based technique to find better solutions for an economic load dispatch problem with valve-point loading. Because metaheuristic algorithms have the strength in global search and gradient-based techniques have the strength in local search, the combination approach obtains better results than those of any single approach. A bench-mark example of 40 generating-unit economic load dispatch problem demonstrates that the memetic approach can further improve the existing best solutions from the literature.

  13. Comparison of AI techniques to solve combined economic emission dispatch problem with line flow constraints

    International Nuclear Information System (INIS)

    Jacob Raglend, I.; Veeravalli, Sowjanya; Sailaja, Kasanur; Sudheera, B.; Kothari, D.P.

    2010-01-01

    A comparative study has been made on the solutions obtained using combined economic emission dispatch (CEED) problem considering line flow constraints using different intelligent techniques for the regulated power system to ensure a practical, economical and secure generation schedule. The objective of the paper is to minimize the total production cost of the power generation. Economic load dispatch (ELD) and economic emission dispatch (EED) have been applied to obtain optimal fuel cost of generating units. Combined economic emission dispatch (CEED) is obtained by considering both the economic and emission objectives. This bi-objective CEED problem is converted into single objective function using price penalty factor approach. In this paper, intelligent techniques such as genetic algorithm (GA), evolutionary programming (EP), particle swarm optimization (PSO), differential evolution (DE) are applied to obtain CEED solutions for the IEEE 30-bus system and 15-unit system. This proposed algorithm introduces an efficient CEED approach that obtains the minimum operating cost satisfying unit, emission and network constraints. The proposed algorithm has been tested on two sample systems viz the IEEE 30-bus system and a 15-unit system. The results obtained by the various artificial intelligent techniques are compared with respect to the solution time, total production cost and convergence criteria. The solutions obtained are quite encouraging and useful in the economic emission environment. The algorithm and simulation are carried out using Matlab software. (author)

  14. Neural-net based real-time economic dispatch for thermal power plants

    Energy Technology Data Exchange (ETDEWEB)

    Djukanovic, M.; Milosevic, B. [Inst. Nikola Tesla, Belgrade (Yugoslavia). Dept. of Power Systems; Calovic, M. [Univ. of Belgrade (Yugoslavia). Dept. of Electrical Engineering; Sobajic, D.J. [Electric Power Research Inst., Palo Alto, CA (United States)

    1996-12-01

    This paper proposes the application of artificial neural networks to real-time optimal generation dispatch of thermal units. The approach can take into account the operational requirements and network losses. The proposed economic dispatch uses an artificial neural network (ANN) for generation of penalty factors, depending on the input generator powers and identified system load change. Then, a few additional iterations are performed within an iterative computation procedure for the solution of coordination equations, by using reference-bus penalty-factors derived from the Newton-Raphson load flow. A coordination technique for environmental and economic dispatch of pure thermal systems, based on the neural-net theory for simplified solution algorithms and improved man-machine interface is introduced. Numerical results on two test examples show that the proposed algorithm can efficiently and accurately develop optimal and feasible generator output trajectories, by applying neural-net forecasts of system load patterns.

  15. Evaluation of the runtime performance of control flow structures for dynamic dispatch in Java

    OpenAIRE

    Zendra, Olivier; Driesen, Karel; Qian, Feng; Hendren, Laurie

    2001-01-01

    International audience; We present an ongoing study of control flow structures in Java. We have designed a collection of benchmarks for various JVM and hardware platforms, to characterize the performance of these structures when used to simulate dynamic dispatch implementations.

  16. Multi-area economic dispatch with tie-line constraints employing ...

    African Journals Online (AJOL)

    user

    piecewise quadratic function similar to the valve point loading effects (Park et al., 1993). The economic dispatch problem with multiple areas and multiple fuel options translates into a nonconvex optimization problem with complex constraints. Such optimization problems require algorithms which avoid approximation of cost ...

  17. An Improved Shuffled Frog Leaping Algorithm and Its Application in Dynamic Emergency Vehicle Dispatching

    Directory of Open Access Journals (Sweden)

    Xiaohong Duan

    2018-01-01

    Full Text Available The traditional method for solving the dynamic emergency vehicle dispatching problem can only get a local optimal strategy in each horizon. In order to obtain the dispatching strategy that can better respond to changes in road conditions during the whole dispatching process, the real-time and time-dependent link travel speeds are fused, and a time-dependent polygonal-shaped link travel speed function is set up to simulate the predictable changes in road conditions. Response times, accident severity, and accident time windows are taken as key factors to build an emergency vehicle dispatching model integrating dynamic emergency vehicle routing and selection. For the unpredictable changes in road conditions caused by accidents, the dispatching strategy is adjusted based on the real-time link travel speed. In order to solve the dynamic emergency vehicle dispatching model, an improved shuffled frog leaping algorithm (ISFLA is proposed. The global search of the improved algorithm uses the probability model of estimation of distribution algorithm to avoid the partial optimal solution. Based on the Beijing expressway network, the efficacy of the model and the improved algorithm were tested from three aspects. The results have shown the following: (1 Compared with SFLA, the optimization performance of ISFLA is getting better and better with the increase of the number of decision variables. When the possible emergency vehicle selection strategies are 815, the objective function value of optimal selection strategies obtained by the base algorithm is 210.10% larger than that of ISFLA. (2 The prediction error of the travel speed affects the accuracy of the initial emergency vehicle dispatching. The prediction error of ±10 can basically meet the requirements of the initial dispatching. (3 The adjustment of emergency vehicle dispatching strategy can successfully bypassed road sections affected by accidents and shorten the response time.

  18. The Impact of Branch Prediction on Control Structures for Dynamic Dispatch in Java

    OpenAIRE

    Gu, Dayong; Zendra, Olivier; Driesen, Karel

    2002-01-01

    Dynamic dispatch, or late binding of function calls, is a salient feature of object-oriented programming languages like C++ and Java. The target of a dispatched call changes according to the type of the object receiving the call. Due to inheritance the exact type is unknown at compile time, and therefore dispatch must occur in general at run time, implying a cost to the use of object-oriented programming languages. In previous work, we measured the performance of various equivalent non-object...

  19. Collective neurodynamic optimization for economic emission dispatch problem considering valve point effect in microgrid.

    Science.gov (United States)

    Wang, Tiancai; He, Xing; Huang, Tingwen; Li, Chuandong; Zhang, Wei

    2017-09-01

    The economic emission dispatch (EED) problem aims to control generation cost and reduce the impact of waste gas on the environment. It has multiple constraints and nonconvex objectives. To solve it, the collective neurodynamic optimization (CNO) method, which combines heuristic approach and projection neural network (PNN), is attempted to optimize scheduling of an electrical microgrid with ten thermal generators and minimize the plus of generation and emission cost. As the objective function has non-derivative points considering valve point effect (VPE), differential inclusion approach is employed in the PNN model introduced to deal with them. Under certain conditions, the local optimality and convergence of the dynamic model for the optimization problem is analyzed. The capability of the algorithm is verified in a complicated situation, where transmission loss and prohibited operating zones are considered. In addition, the dynamic variation of load power at demand side is considered and the optimal scheduling of generators within 24 h is described. Copyright © 2017 Elsevier Ltd. All rights reserved.

  20. Chaotic particle swarm optimization for economic dispatch considering the generator constraints

    International Nuclear Information System (INIS)

    Cai, Jiejin; Ma, Xiaoqian; Li, Lixiang; Haipeng, Peng

    2007-01-01

    Chaotic particle swarm optimization (CPSO) methods are optimization approaches based on the proposed particle swarm optimization (PSO) with adaptive inertia weight factor (AIWF) and chaotic local search (CLS). In this paper, two CPSO methods based on the logistic equation and the Tent equation are presented to solve economic dispatch (ED) problems with generator constraints and applied in two power system cases. Compared with the traditional PSO method, the convergence iterative numbers of the CPSO methods are reduced, and the solutions generation costs decrease around 5 $/h in the six unit system and 24 $/h in the 15 unit system. The simulation results show that the CPSO methods have good convergence property. The generation costs of the CPSO methods are lower than those of the traditional particle swarm optimization algorithm, and hence, CPSO methods can result in great economic effect. For economic dispatch problems, the CPSO methods are more feasible and more effective alternative approaches than the traditional particle swarm optimization algorithm

  1. Multiobjective scatter search approach with new combination scheme applied to solve environmental/economic dispatch problem

    International Nuclear Information System (INIS)

    Athayde Costa e Silva, Marsil de; Klein, Carlos Eduardo; Mariani, Viviana Cocco; Santos Coelho, Leandro dos

    2013-01-01

    The environmental/economic dispatch (EED) is an important daily optimization task in the operation of many power systems. It involves the simultaneous optimization of fuel cost and emission objectives which are conflicting ones. The EED problem can be formulated as a large-scale highly constrained nonlinear multiobjective optimization problem. In recent years, many metaheuristic optimization approaches have been reported in the literature to solve the multiobjective EED. In terms of metaheuristics, recently, scatter search approaches are receiving increasing attention, because of their potential to effectively explore a wide range of complex optimization problems. This paper proposes an improved scatter search (ISS) to deal with multiobjective EED problems based on concepts of Pareto dominance and crowding distance and a new scheme for the combination method. In this paper, we have considered the standard IEEE (Institute of Electrical and Electronics Engineers) 30-bus system with 6-generators and the results obtained by proposed ISS algorithm are compared with the other recently reported results in the literature. Simulation results demonstrate that the proposed ISS algorithm is a capable candidate in solving the multiobjective EED problems. - Highlights: ► Economic dispatch. ► We solve the environmental/economic economic power dispatch problem with scatter search. ► Multiobjective scatter search can effectively improve the global search ability

  2. Economic Power Dispatch of Distributed Generators in a Grid-Connected Microgrid

    DEFF Research Database (Denmark)

    Hernández, Adriana Carolina Luna; Aldana, Nelson Leonardo Diaz; Andrade, Fabio

    2015-01-01

    Grid-connected microgrids with storage systems are reliable configurations for critical loads which can not tolerate interruptions of energy supply. In such cases, some of the energy resources should be scheduled in order to coordinate optimally the power generation according to a defined objective...... function. This paper defines a generationside power scheduling and economic dispatch of a gridconnected microgrid that supplies a fixed load and then, the scheduling is enhanced by including penalties in order to increase the use of the renewable energy sources and guarantee a high state of charge...... in the storage system for the next day. Linear models are proposed for the scheduling which are implemented in GAMS. The microgrid model is obtained deploying MATLAB/Simulink toolbox and then downloaded into dSPACE 1006 platform based on real-time simulation to test the economic dispatch. A compromise between...

  3. An Effective Framework For Economic Dispatch Using Modified Harmony Search Algorithm

    Directory of Open Access Journals (Sweden)

    Advik Kumar

    2017-09-01

    Full Text Available The effects of ever-increasing wind power generation for solving the economic dispatch ED problem have led to high penetration of renewable energy source in new power systems. Continuing search for better utilizing of wind turbine associated with thermal sources to find the optimal allocation of output power is necessary in which pro-vide more reliability and efficiency. Dynamic nature of wind energy has imposed uncertainties characteristics in the poser systems. To deal with this problem an effective probabilistic method to investigate all unpredictability would be a good idea to make more realistic analysis. This paper presents a heuristics optimization method based on harmony search HS algorithm to solve non-convex ED problems while uncertainties effects caused by wind turbines are considered. To involve a realistic analysis as a more practical investigation the proposed probabilistic ED PED approach includes prohibited operating zone POZ system spinning reserve ramp rate limits variety of fuel is considered in this studies. Point Estimate Method PEM as a proposed PED model the uncertainties of wind speed for wind turbines to present better realization to the problem. Optimal solution are presented for vari-ous test system and these solutions demonstrate the benefits of our approach in terms of cost over existing ED techniques.

  4. COMBINED ECONOMIC AND EMISSION DISPATCH WITH AND WITHOUT CONSIDERING TRANSMISSION LOSS

    OpenAIRE

    Pratyush Das; Raju Patwary; S.C. Konar

    2013-01-01

    This paper gives a complete idea about the Combined Economic and Emission Dispatch (CEED) in different load demand. This paper shows CEED of a six generator system by neglecting the transmission loss first, and after that CEED of the same system considering transmission loss. Here we solve the CEED problem with the help of Mat-Lab software. The results are graphically represented here, like generation cost v/s load demands; load shared by each generator in different load demand...

  5. Multiobjective Economic Load Dispatch in 3-D Space by Genetic Algorithm

    Science.gov (United States)

    Jain, N. K.; Nangia, Uma; Singh, Iqbal

    2017-10-01

    This paper presents the application of genetic algorithm to Multiobjective Economic Load Dispatch (MELD) problem considering fuel cost, transmission losses and environmental pollution as objective functions. The MELD problem has been formulated using constraint method. The non-inferior set for IEEE 5, 14 and 30-bus system has been generated by using genetic algorithm and the target point has been obtained by using maximization of minimum relative attainments.

  6. Economic Dispatch for Microgrid Containing Electric Vehicles via Probabilistic Modeling: Preprint

    Energy Technology Data Exchange (ETDEWEB)

    Yao, Yin; Gao, Wenzhong; Momoh, James; Muljadi, Eduard

    2016-02-11

    In this paper, an economic dispatch model with probabilistic modeling is developed for a microgrid. The electric power supply in a microgrid consists of conventional power plants and renewable energy power plants, such as wind and solar power plants. Because of the fluctuation in the output of solar and wind power plants, an empirical probabilistic model is developed to predict their hourly output. According to different characteristics of wind and solar power plants, the parameters for probabilistic distribution are further adjusted individually for both. On the other hand, with the growing trend in plug-in electric vehicles (PHEVs), an integrated microgrid system must also consider the impact of PHEVs. The charging loads from PHEVs as well as the discharging output via the vehicle-to-grid (V2G) method can greatly affect the economic dispatch for all of the micro energy sources in a microgrid. This paper presents an optimization method for economic dispatch in a microgrid considering conventional power plants, renewable power plants, and PHEVs. The simulation results reveal that PHEVs with V2G capability can be an indispensable supplement in a modern microgrid.

  7. Finite Action-Set Learning Automata for Economic Dispatch Considering Electric Vehicles and Renewable Energy Sources

    Directory of Open Access Journals (Sweden)

    Junpeng Zhu

    2014-07-01

    Full Text Available The coming interaction between a growing electrified vehicle fleet and the desired growth in renewable energy provides new insights into the economic dispatch (ED problem. This paper presents an economic dispatch model that considers electric vehicle charging, battery exchange stations, and wind farms. This ED model is a high-dimensional, non-linear, and stochastic problem and its solution requires powerful methods. A new finite action-set learning automata (FALA-based approach that has the ability to adapt to a stochastic environment is proposed. The feasibility of the proposed approach is demonstrated in a modified IEEE 30 bus system. It is compared with continuous action-set learning automata and particle swarm optimization-based approaches in terms of convergence characteristics, computational efficiency, and solution quality. Simulation results show that the proposed FALA-based approach was indeed capable of more efficiently obtaining the approximately optimal solution. In addition, by using an optimal dispatch schedule for the interaction between electric vehicle stations and power systems, it is possible to reduce the gap between demand and power generation at different times of the day.

  8. Neuro-genetic hybrid approach for the solution of non-convex economic dispatch problem

    International Nuclear Information System (INIS)

    Malik, T.N.; Asar, A.U.

    2009-01-01

    ED (Economic Dispatch) is non-convex constrained optimization problem, and is used for both on line and offline studies in power system operation. Conventionally, it is solved as convex problem using optimization techniques by approximating generator input/output characteristic. Curves of monotonically increasing nature thus resulting in an inaccurate dispatch. The GA (Genetic Algorithm) has been used for the solution of this problem owing to its inherent ability to address the convex and non-convex problems equally. This approach brings the solution to the global minimum region of search space in a short time and then takes longer time to converge to near optimal results. GA based hybrid approaches are used to fine tune the near optimal results produced by GA. This paper proposes NGH (Neuro Genetic Hybrid) approach to solve the economic dispatch with valve point effect. The proposed approach combines the GA with the ANN (Artificial Neural Network) using SI (Swarm Intelligence) learning rule. The GA acts as a global optimizer and the neural network fine tunes the GA results to the desired targets. Three machines standard test system has been tested for validation of the approach. Comparing the results with GA and NGH model based on back-propagation learning, the proposed approach gives contrast improvements showing the promise of the approach. (author)

  9. Novel Controls for Time-Dependent Economic Dispatch of Combined Cooling Heating and Power (CCHP)

    Energy Technology Data Exchange (ETDEWEB)

    Samuelsen, Scott; Brouwer, Jack

    2013-08-31

    The research and development effort detailed in this report directly addresses the challenge of reducing U.S. industrial energy and carbon intensity by contributing to an increased understanding of potential CCHP technology, the CCHP market and the challenges of widespread adoption. This study developed a number of new tools, models, and approaches for the design, control, and optimal dispatch of various CCHP technologies. The UC Irvine campus served as a ‘living laboratory’ of new CCHP technologies and enabled the design and demonstration of several novel control methods. In particular, the integration of large scale thermal energy storage capable of shifting an entire day of cooling demand required a novel approach to the CCHP dispatch optimization. The thermal energy storage proved an economically viable resource which reduced both costs and emissions by enabling generators and chillers to operate under steady high efficiency conditions at all times of the day.

  10. Improved differential evolution algorithms for handling economic dispatch optimization with generator constraints

    International Nuclear Information System (INIS)

    Coelho, Leandro dos Santos; Mariani, Viviana Cocco

    2007-01-01

    Global optimization based on evolutionary algorithms can be used as the important component for many engineering optimization problems. Evolutionary algorithms have yielded promising results for solving nonlinear, non-differentiable and multi-modal optimization problems in the power systems area. Differential evolution (DE) is a simple and efficient evolutionary algorithm for function optimization over continuous spaces. It has reportedly outperformed search heuristics when tested over both benchmark and real world problems. This paper proposes improved DE algorithms for solving economic load dispatch problems that take into account nonlinear generator features such as ramp rate limits and prohibited operating zones in the power system operation. The DE algorithms and its variants are validated for two test systems consisting of 6 and 15 thermal units. Various DE approaches outperforms other state of the art algorithms reported in the literature in solving load dispatch problems with generator constraints

  11. Research on Novel Algorithms for Smart Grid Reliability Assessment and Economic Dispatch

    Science.gov (United States)

    Luo, Wenjin

    In this dissertation, several studies of electric power system reliability and economy assessment methods are presented. To be more precise, several algorithms in evaluating power system reliability and economy are studied. Furthermore, two novel algorithms are applied to this field and their simulation results are compared with conventional results. As the electrical power system develops towards extra high voltage, remote distance, large capacity and regional networking, the application of a number of new technique equipments and the electric market system have be gradually established, and the results caused by power cut has become more and more serious. The electrical power system needs the highest possible reliability due to its complication and security. In this dissertation the Boolean logic Driven Markov Process (BDMP) method is studied and applied to evaluate power system reliability. This approach has several benefits. It allows complex dynamic models to be defined, while maintaining its easy readability as conventional methods. This method has been applied to evaluate IEEE reliability test system. The simulation results obtained are close to IEEE experimental data which means that it could be used for future study of the system reliability. Besides reliability, modern power system is expected to be more economic. This dissertation presents a novel evolutionary algorithm named as quantum evolutionary membrane algorithm (QEPS), which combines the concept and theory of quantum-inspired evolutionary algorithm and membrane computation, to solve the economic dispatch problem in renewable power system with on land and offshore wind farms. The case derived from real data is used for simulation tests. Another conventional evolutionary algorithm is also used to solve the same problem for comparison. The experimental results show that the proposed method is quick and accurate to obtain the optimal solution which is the minimum cost for electricity supplied by wind

  12. Smart households: Dispatch strategies and economic analysis of distributed energy storage for residential peak shaving

    International Nuclear Information System (INIS)

    Zheng, Menglian; Meinrenken, Christoph J.; Lackner, Klaus S.

    2015-01-01

    Highlights: • Cost-effectiveness of building-based storage for peak shaving has hitherto not been well understood. • Several existing storage technologies are shown to provide cost-effective peak shaving. • Setting grid demand targets rather than hard demand limits improves economics. • Accounting for seasonal demand variations in storage dispatch strategy improves economics further. • Total-energy-throughput approach is used to determine storage lifetimes. - Abstract: Meeting time-varying peak demand poses a key challenge to the U.S. electricity system. Building-based electricity storage – to enable demand response (DR) without curtailing actual appliance usage – offers potential benefits of lower electricity production cost, higher grid reliability, and more flexibility to integrate renewables. DR tariffs are currently available in the U.S. but building-based storage is still underutilized due to insufficiently understood cost-effectiveness and dispatch strategies. Whether DR schemes can yield a profit for building operators (i.e., reduction in electricity bill that exceeds levelized storage cost) and which particular storage technology yields the highest profit is yet to be answered. This study aims to evaluate the economics of providing peak shaving DR under a realistic tariff (Con Edison, New York), using a range of storage technologies (conventional and advanced batteries, flywheel, magnetic storage, pumped hydro, compressed air, and capacitors). An agent-based stochastic model is used to randomly generate appliance-level demand profiles for an average U.S. household. We first introduce a levelized storage cost model which is based on a total-energy-throughput lifetime. We then develop a storage dispatch strategy which optimizes the storage capacity and the demand limit on the grid. We find that (i) several storage technologies provide profitable DR; (ii) annual profit from such DR can range from 1% to 39% of the household’s non-DR electricity

  13. Economic emission dispatching with variations of wind power and loads using multi-objective optimization by learning automata

    International Nuclear Information System (INIS)

    Liao, H.L.; Wu, Q.H.; Li, Y.Z.; Jiang, L.

    2014-01-01

    Highlights: • Apply multi-objective optimization by learning automata to power system. • Sequentially dimensional search and state memory are incorporated. • Track dispatch under significant variations of wind power and load demand. • Good performance in terms of accuracy, distribution and computation time. - Abstract: This paper is concerned with using multi-objective optimization by learning automata (MOLA) for economic emission dispatching in the environment where wind power and loads vary. With its capabilities of sequentially dimensional search and state memory, MOLA is able to find accurate solutions while satisfying two objectives: fuel cost coupled with environmental emission and voltage stability. Its searching quality and efficiency are measured using the hypervolume indicator for investigating the quality of Pareto front, and demonstrated by tracking the dispatch solutions under significant variations of wind power and load demand. The simulation studies are carried out on the modified midwestern American electric power system and the IEEE 118-bus test system, in which wind power penetration and load variations present. Evaluated on these two power systems, MOLA is fully compared with multi-objective evolutionary algorithm based on decomposition (MOEA/D) and non-dominated sorting genetic algorithm II (NSGA-II). The simulation results have shown the superiority of MOLA over NAGA-II and MOEA/D, as it is able to obtain more accurate and widely distributed Pareto fronts. In the dynamic environment where the operation condition of both wind speed and load demand varies, MOLA outperforms the other two algorithms, with respect to the tracking ability and accuracy of the solutions

  14. Dynamic multi-stage dispatch of isolated wind–diesel power systems

    DEFF Research Database (Denmark)

    Hu, Yu; Morales González, Juan Miguel; Pineda, Salvador

    2015-01-01

    An optimal dispatch strategy is crucial for an isolated wind–diesel power system to save diesel fuel and maintain the system stability. The uncertainty associated with the stochastic character of the wind is, though, a challenging problem for this optimization. In this paper, a dynamic multi-stag...

  15. A Modified Artificial Bee Colony Algorithm Application for Economic Environmental Dispatch

    Science.gov (United States)

    Tarafdar Hagh, M.; Baghban Orandi, Omid

    2018-03-01

    In conventional fossil-fuel power systems, the economic environmental dispatch (EED) problem is a major problem that optimally determines the output power of generating units in a way that cost of total production and emission level be minimized simultaneously, and at the same time all the constraints of units and system are satisfied properly. To solve EED problem which is a non-convex optimization problem, a modified artificial bee colony (MABC) algorithm is proposed in this paper. This algorithm by implementing weighted sum method is applied on two test systems, and eventually, obtained results are compared with other reported results. Comparison of results confirms superiority and efficiency of proposed method clearly.

  16. Economic Dispatch untuk Grid Mikro Hibrida dengan Distributed Energy Storage Berbasis Metode Quadratic Programming

    Directory of Open Access Journals (Sweden)

    Kemas Robby Firmansyah

    2017-01-01

    Full Text Available Kebutuhan daya listrik saat ini meningkat pesat dengan perkembangan teknologi. Peningkatan kebutuhan daya listrik bertolak belakang dengan ketersediaan sumber energi tak terbarukan. Permasalahan ini akan berdampak pada ketahanan listrik nasional, untuk memenuhi kebutuhan daya listrik yang besar dengan wilayah yang luas diperlukan pembangkit –pembangkit tersebar dengan skala kecil. Pembangkit tersebar diupayakan bersumber pada energi terbarukan untuk meminimalkan pemakaian sumber energi tak terbarukan. Selain itu diperlukan adanya Energy Storage, Energy Storage diperlukan untuk menyimpan kelebihan energi yang dihasilkan oleh pembangkit lainnya. Dengan adanya pembangkit tersebar dan Energy Storage yang dihubungkan dengan grid utama Perusahaan Listrik Negara melaui Grid Mikro, maka penting untuk menentukan optimisasi besarnya pembangkit daya listrik untuk masing-masing pembangkit yang sesuai dengan kebutuhan daya listrik. Optimisasi ini dikenal dengan istilah Economic Dispatch.  Metode yang diterapkan untuk optimisasi Economic Dispatch adalah dengan menggunakan Quadratic Programming. Simulasi dilakukan pada sistem IEEE 14 bus menggunakan software MATLAB. Hasil simulasi dan analisis menunjukkan bahwa program dapat memenuhi batasan yang ditentukan dan biaya pembangkitan tenaga listrik untuk pengoperasian Grid Mikro Hibrida adalah  25,53 $

  17. An effortless hybrid method to solve economic load dispatch problem in power systems

    International Nuclear Information System (INIS)

    Pourakbari-Kasmaei, M.; Rashidi-Nejad, M.

    2011-01-01

    Highlights: → We proposed a fast method to get feasible solution and avoid futile search. → The method dramatically improves search efficiency and solution quality. → Applied to solve constrained ED problems of power systems with 6 and 15 unit. → Superiority of this method in both aspects of financial and CPU time is remarkable. - Abstract: This paper proposes a new approach and coding scheme for solving economic dispatch problems (ED) in power systems through an effortless hybrid method (EHM). This novel coding scheme can effectively prevent futile searching and also prevents obtaining infeasible solutions through the application of stochastic search methods, consequently dramatically improves search efficiency and solution quality. The dominant constraint of an economic dispatch problem is power balance. The operational constraints, such as generation limitations, ramp rate limits, prohibited operating zones (POZ), network loss are considered for practical operation. Firstly, in the EHM procedure, the output of generator is obtained with a lambda iteration method and without considering POZ and later in a genetic based algorithm this constraint is satisfied. To demonstrate its efficiency, feasibility and fastness, the EHM algorithm was applied to solve constrained ED problems of power systems with 6 and 15 units. The simulation results obtained from the EHM were compared to those achieved from previous literature in terms of solution quality and computational efficiency. Results reveal that the superiority of this method in both aspects of financial and CPU time.

  18. Dynamic Power Dispatch Considering Electric Vehicles and Wind Power Using Decomposition Based Multi-Objective Evolutionary Algorithm

    Directory of Open Access Journals (Sweden)

    Boyang Qu

    2017-12-01

    Full Text Available The intermittency of wind power and the large-scale integration of electric vehicles (EVs bring new challenges to the reliability and economy of power system dispatching. In this paper, a novel multi-objective dynamic economic emission dispatch (DEED model is proposed considering the EVs and uncertainties of wind power. The total fuel cost and pollutant emission are considered as the optimization objectives, and the vehicle to grid (V2G power and the conventional generator output power are set as the decision variables. The stochastic wind power is derived by Weibull probability distribution function. Under the premise of meeting the system energy and user’s travel demand, the charging and discharging behavior of the EVs are dynamically managed. Moreover, we propose a two-step dynamic constraint processing strategy for decision variables based on penalty function, and, on this basis, the Multi-Objective Evolutionary Algorithm Based on Decomposition (MOEA/D algorithm is improved. The proposed model and approach are verified by the 10-generator system. The results demonstrate that the proposed DEED model and the improved MOEA/D algorithm are effective and reasonable.

  19. Applying a non-intrusive energy-management system to economic dispatch for a cogeneration system and power utility

    Energy Technology Data Exchange (ETDEWEB)

    Chang, Hsueh-Hsien [Dept. of Electrical Engineering, Chung Yuan Christian University, Taoyuan (China); Dept. of Electronic Engineering, Jin Wen University of Science and Technology, Taipei (China); Yang, Hong-Tzer [Dept. of Electrical Engineering, National Cheng Kung University, Tainan (China)

    2009-11-15

    Non-intrusive energy-management (NIEM) techniques are based on energy signatures. While such approaches lack transient energy signatures, the reliability and accuracy of recognition results cannot be determined. By using neural networks (NNs) in combination with turn-on transient energy analysis, this study attempts to identify load demands and improve recognition accuracy of NIEM results. Case studies are presented that apply various methods to compare training algorithms and classifiers in terms of artificial neural networks (ANN) due to various factors that determine whether a network is being used for pattern recognition. Additionally, in combination with electromagnetic transient program (EMTP) simulations, calculating the turn-on transient energy facilitate load can lead to identification and a significant improvement in the accuracy of NIEM results. Analysis results indicate that an NIEM system can effectively manage energy demands within economic dispatch for a cogeneration system and power utility. Additionally, a new method based on genetic algorithms (GAs) is used to develop a novel operational strategy of economic dispatch for a cogeneration system in a regulated market and approach the global optimum with typical environmental constraints for a cogeneration plant. Economic dispatch results indicate that the NIEM system based on energy demands can estimate accurately the energy contribution from the cogeneration system and power utility, and further reduce air pollution. Moreover, applying the NIEM system for economic dispatch can markedly reduce computational time and power costs. (author)

  20. A Decomposition Method for Security Constrained Economic Dispatch of a Three-Layer Power System

    Science.gov (United States)

    Yang, Junfeng; Luo, Zhiqiang; Dong, Cheng; Lai, Xiaowen; Wang, Yang

    2018-01-01

    This paper proposes a new decomposition method for the security-constrained economic dispatch in a three-layer large-scale power system. The decomposition is realized using two main techniques. The first is to use Ward equivalencing-based network reduction to reduce the number of variables and constraints in the high-layer model without sacrificing accuracy. The second is to develop a price response function to exchange signal information between neighboring layers, which significantly improves the information exchange efficiency of each iteration and results in less iterations and less computational time. The case studies based on the duplicated RTS-79 system demonstrate the effectiveness and robustness of the proposed method.

  1. Artificial bee colony algorithm for economic load dispatch with wind power energy

    Directory of Open Access Journals (Sweden)

    Safari Amin

    2016-01-01

    Full Text Available This paper presents an efficient Artificial Bee Colony (ABC algorithm for solving large scale economic load dispatch (ELD problems in power networks. To realize the ELD, the valve-point loading effect, system load demand, power losses, ramp rate limits and prohibited operation zones are considered here. Simulations were performed on four different power systems with 3, 6, 15 and 40 generating units and the results are compared with two forms of power systems, one power system is with a wind power generator and other power system is without a wind power generator. The results of this study reveal that the proposed approach is able to find appreciable ELD solutions than those of previous algorithms.

  2. Economic Dispatch for Power System Included Wind and Solar Thermal Energy

    Directory of Open Access Journals (Sweden)

    Saoussen BRINI

    2009-07-01

    Full Text Available With the fast development of technologies of alternative energy, the electric power network can be composed of several renewable energy resources. The energy resources have various characteristics in terms of operational costs and reliability. In this study, the problem is the Economic Environmental Dispatching (EED of hybrid power system including wind and solar thermal energies. Renewable energy resources depend on the data of the climate such as the wind speed for wind energy, solar radiation and the temperature for solar thermal energy. In this article it proposes a methodology to solve this problem. The resolution takes account of the fuel costs and reducing of the emissions of the polluting gases. The resolution is done by the Strength Pareto Evolutionary Algorithm (SPEA method and the simulations have been made on an IEEE network test (30 nodes, 8 machines and 41 lines.

  3. Combining of Direct Search and Signal-to-Noise Ratio for economic dispatch optimization

    International Nuclear Information System (INIS)

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

    2011-01-01

    This paper integrated the ideas of Direct Search and Signal-to-Noise Ratio (SNR) to develop a Novel Direct Search (NDS) method for solving the non-convex economic dispatch problems. NDS consists of three stages: Direct Search (DS), Global SNR (GSNR) and Marginal Compensation (MC) stages. DS provides a basic solution. GSNR searches the point with optimization strategy. MC fulfills the power balance requirement. With NDS, the infinite solution space becomes finite. Furthermore, a same optimum solution can be repeatedly reached. Effectiveness of NDS is demonstrated with three examples and the solutions were compared with previously published results. Test results show that the proposed method is simple, robust, and more effective than many other previously developed algorithms.

  4. Ant colony optimisation for economic dispatch problem with non-smooth cost functions

    Energy Technology Data Exchange (ETDEWEB)

    Pothiya, Saravuth; Kongprawechnon, Waree [School of Communication, Instrumentation and Control, Sirindhorn International Institute of Technology, Thammasat University, P.O. Box 22, Pathumthani (Thailand); Ngamroo, Issarachai [Center of Excellence for Innovative Energy Systems, Faculty of Engineering, King Mongkut' s Institute of Technology Ladkrabang, Bangkok 10520 (Thailand)

    2010-06-15

    This paper presents a novel and efficient optimisation approach based on the ant colony optimisation (ACO) for solving the economic dispatch (ED) problem with non-smooth cost functions. In order to improve the performance of ACO algorithm, three additional techniques, i.e. priority list, variable reduction, and zoom feature are presented. To show its efficiency and effectiveness, the proposed ACO is applied to two types of ED problems with non-smooth cost functions. Firstly, the ED problem with valve-point loading effects consists of 13 and 40 generating units. Secondly, the ED problem considering the multiple fuels consists of 10 units. Additionally, the results of the proposed ACO are compared with those of the conventional heuristic approaches. The experimental results show that the proposed ACO approach is comparatively capable of obtaining higher quality solution and faster computational time. (author)

  5. Pendekatan Dengan Cuckoo Optimization Algorithm Untuk Solusi Permasalahan Economic Emission Dispatch

    Directory of Open Access Journals (Sweden)

    Agil Dwijatmoko Rahmatullah

    2017-03-01

    Full Text Available Economic Dispatch adalah upaya untuk meminimalkan biaya operasi unit pembangkit dengan tetap memperhatikan batasan teknis dari masing-masing unit pembangkit, harga bahan bakar, biaya pemeliharaan dan lain sebagainya. Di sisi lain, unit pembangkit termal menggunakan bahan bakar fosil sebagai bahan bakar boiler untuk membangkitkan energi listrik, sehingga sisa hasil pembakaran dari unit pembangkit ini menghasilkan emisi gas buang yang menyebabkan polusi serta mencemari lingkungan. Melalui dua permasalahan tersebut metode optimasi algoritma cuckoo yang diadaptasi dari cara burung cuckoo dalam berkembang biak, sarang yang menghasilkan generasi baru cuckoo direpresentasikan sebagai solusi baru untuk permasalahan optimasi dalam meminimalkan biaya bahan bakar dan emisi gas buang. Hasil dari metode optimasi algoritma cuckoo, pada saat nilai pembobot seimbang yaitu 0,5, untuk fungsi biaya bahan bakar didapatkan 18940,40 dengan pengurangan biaya sebesar 1745,3 dan untuk fungsi emisi didapatka 839,94 dengan pengurangan emisi sebesar 187,35.

  6. Economic/Environmental power dispatch for power systems including wind farms

    Directory of Open Access Journals (Sweden)

    Imen BEN JAOUED

    2015-05-01

    Full Text Available This paper presents the problem of the Economic/Environmental power Dispatching (EED of hybrid power system including wind energies. The power flow model for a stall regulated fixed speed wind generator (SR-FSWG system is discussed to assess the steady-state condition of power systems with wind farms. Modified Newton-Raphson algorithm including SR-FSWG is used to solve the load flow equations in which the state variables of the wind generators are combined with the nodal voltage magnitudes and angles of the entire network. The EED problem is a nonlinear constrained multi-objective optimization problem, two competing fuel cost and pollutant emission objectives should be minimized simultaneously while satisfying certain system constraints. In this paper, the resolution is done by the algorithm multi-objective particle swarm optimization (MOPSO. The effectiveness of the proposed method has been verified on IEEE 6-generator 30-bus test system and using MATLAB software package.

  7. A study on economic power dispatch grid connected PV power plant in educational institutes

    Science.gov (United States)

    Singh, Kuldip; Kumar, M. Narendra; Mishra, Satyasis

    2018-04-01

    India has main concerns on environment and escalation of fuel prices with respect to diminution of fossil fuel reserves and the major focus on renewable Energy sources for power generation to fulfill the present and future energy demand. Installation of PV power plants in the Educational Institutions has grown up drastically throughout India. More PV power plant are integrated with load and grid through net metering. Therefore, this paper is an analysis of the 75kWp PV plant at chosen buses, considering the need of minimum demand from the grid. The case study is carried out for different generation level throughout the day and year w.r.t load and climate changes, load sharing on grid. The economic dispatch model developed for PV plant integrated with Grid.

  8. A new global particle swarm optimization for the economic emission dispatch with or without transmission losses

    International Nuclear Information System (INIS)

    Zou, Dexuan; Li, Steven; Li, Zongyan; Kong, Xiangyong

    2017-01-01

    Highlights: • A new global particle swarm optimization (NGPSO) is proposed. • NGPSO has strong convergence and desirable accuracy. • NGPSO is used to handle the economic emission dispatch with or without transmission losses. • The equality constraint can be satisfied by solving a quadratic equation. • The inequality constraints can be satisfied by using penalty function method. - Abstract: A new global particle swarm optimization (NGPSO) algorithm is proposed to solve the economic emission dispatch (EED) problems in this paper. NGPSO is different from the traditional particle swarm optimization (PSO) algorithm in two aspects. First, NGPSO uses a new position updating equation which relies on the global best particle to guide the searching activities of all particles. Second, it uses the randomization based on the uniform distribution to slightly disturb the flight trajectories of particles during the late evolutionary process. The two steps enable NGPSO to effectively execute a number of global searches, and thus they increase the chance of exploring promising solution space, and reduce the probabilities of getting trapped into local optima for all particles. On the other hand, the two objective functions of EED are normalized separately according to all candidate solutions, and then they are incorporated into one single objective function. The transformation steps are very helpful in eliminating the difference caused by the different dimensions of the two functions, and thus they strike a balance between the fuel cost and emission. In addition, a simple and common penalty function method is employed to facilitate the satisfactions of EED’s constraints. Based on these improvements in PSO, objective functions and constraints handling, high-quality solutions can be obtained for EED problems. Five examples are chosen to testify the performance of three improved PSOs on solving EED problems with or without transmission losses. Experimental results show that

  9. Derivation and Application of a New Transmission Loss Formula for Power System Economic Dispatch

    Directory of Open Access Journals (Sweden)

    Wei-Tzer Huang

    2018-02-01

    Full Text Available The expression and calculation of transmission loss (TL play key roles for solving the power system economic dispatch (ED problem. ED including TL must compute the total TL and incremental transmission loss (ITL by executing power flow equations. However, solving the power flow equations is time-consuming and may result in divergence by the iteration procedure. This approach is unsuitable for real-time ED in practical power systems. To avoid solving nonlinear power flow equations, most power companies continue to adopt the TL formula in ED. Traditional loss formulas are composed of network parameters and in terms of the generator’s real power outputs. These formulas are derived by several assumptions, but these basic assumptions sacrifice accuracy. In this study, a new expression for the loss formula is proposed to improve the shortcomings of traditional loss formulas. The coefficients in the new loss formula can be obtained by recording the power losses according to varying real and reactive power outputs without any assumptions. The simultaneous equations of the second-order expansion of the Taylor series are then established. Finally, the corresponding coefficients can be calculated by solving the simultaneous equations. These new coefficients can be used in optimal real and reactive power dispatch problems. The proposed approach is tested by IEEE 14-bus and 30-bus systems, and the results are compared with those obtained from the traditional B coefficient method and the load flow method. The numerical results show that the proposed new loss formula for ED can hold high accuracy for different loading conditions and is very suitable for real-time applications.

  10. An improved artificial physical optimization algorithm for dynamic dispatch of generators with valve-point effects and wind power

    International Nuclear Information System (INIS)

    Yuan, Xiaohui; Ji, Bin; Zhang, Shuangquan; Tian, Hao; Chen, Zhihuan

    2014-01-01

    Highlights: • Dynamic load economic dispatch with wind power (DLEDW) model is established. • Markov chains combined with scenario analysis method are used to predict wind power. • Chance constrained technique is used to simulate the impacts of wind forecast error. • Improved artificial physical optimization algorithm is proposed to solve DLEDW. • Heuristic search strategies are applied to handle the constraints of DLEDW. - Abstract: Wind power, a kind of promising renewable energy resource, has recently been getting more attractive because of various environmental and economic considerations. But the penetration of wind power with its fluctuation nature has made the operation of power system more intractable. To coordinate the reliability and operation cost, this paper established a stochastic model of dynamic load economic dispatch with wind integration (DLEDW). In this model, constraints such as ramping up/down capacity, prohibited operating zone are considered and effects of valve-point are taken into account. Markov chains combined with scenario analysis method is used to generate predictive values of wind power and chance constrained programming (CCP) is applied to simulate the impacts of wind power fluctuation on system operation. An improved artificial physical optimization algorithm is presented to solve the DLEDW problem. Heuristic strategies based on the priority list and stochastic simulation techniques are proposed to handle the constraints. In addition, a local chaotic mutation strategy is applied to overcome the disadvantage of premature convergence of artificial physical optimization algorithm. Two test systems with and without wind power integration are used to verify the feasibility and effectiveness of the proposed method and the results are compared with those of gravitational search algorithm, particle swarm optimization and standard artificial physical optimization. The simulation results demonstrate that the proposed method has a

  11. Control of dispatch dynamics for lowering the cost of distributed generation in the built environment

    Science.gov (United States)

    Flores, Robert Joseph

    Distributed generation can provide many benefits over traditional central generation such as increased reliability and efficiency while reducing emissions. Despite these potential benefits, distributed generation is generally not purchased unless it reduces energy costs. Economic dispatch strategies can be designed such that distributed generation technologies reduce overall facility energy costs. In this thesis, a microturbine generator is dispatched using different economic control strategies, reducing the cost of energy to the facility. Several industrial and commercial facilities are simulated using acquired electrical, heating, and cooling load data. Industrial and commercial utility rate structures are modeled after Southern California Edison and Southern California Gas Company tariffs and used to find energy costs for the simulated buildings and corresponding microturbine dispatch. Using these control strategies, building models, and utility rate models, a parametric study examining various generator characteristics is performed. An economic assessment of the distributed generation is then performed for both the microturbine generator and parametric study. Without the ability to export electricity to the grid, the economic value of distributed generation is limited to reducing the individual costs that make up the cost of energy for a building. Any economic dispatch strategy must be built to reduce these individual costs. While the ability of distributed generation to reduce cost depends of factors such as electrical efficiency and operations and maintenance cost, the building energy demand being serviced has a strong effect on cost reduction. Buildings with low load factors can accept distributed generation with higher operating costs (low electrical efficiency and/or high operations and maintenance cost) due to the value of demand reduction. As load factor increases, lower operating cost generators are desired due to a larger portion of the building load

  12. An Environmental-Economic Dispatch Method for Smart Microgrids Using VSS_QGA

    Directory of Open Access Journals (Sweden)

    Wenxia Liu

    2014-01-01

    Full Text Available The increasing penetration of distributed generation resources demands better economic performance of microgrids under the smart-grid era. In this paper, a comprehensive environmental-economic dispatch method for smart microgrids is proposed, with the objective for minimizing the summation of generation and emission costs in the system. As the proposed model belongs to a large-scale nonlinear and nonconvex programming problem, a hybrid heuristic algorithm, named variable step-size chaotic fuzzy quantum genetic algorithm (VSS_QGA, is developed. The algorithm utilizes complementarity among multiple techniques including the variable step size optimization, the rotation mutational angle fuzzy control, and the quantum genetic algorithm and combines them so as to solve problems with superior accuracy and efficiency. The effectiveness of the proposed model is demonstrated through a case study on an actual microgrid system and the advantages in the performance of VSS_QGA is also verified through the comparison with genetic algorithm (GA, the evolutionary programming approach (EP, the quantum genetic algorithm (QGA, and the chaotic quantum genetic algorithm (CQGA.

  13. A demonstration of the improved efficiency of the canonical coordinates method using nonlinear combined heat and power economic dispatch problems

    Science.gov (United States)

    Chang, Hung-Chieh; Lin, Pei-Chun

    2014-02-01

    Economic dispatch is the short-term determination of the optimal output from a number of electricity generation facilities to meet the system load while providing power. As such, it represents one of the main optimization problems in the operation of electrical power systems. This article presents techniques to substantially improve the efficiency of the canonical coordinates method (CCM) algorithm when applied to nonlinear combined heat and power economic dispatch (CHPED) problems. The improvement is to eliminate the need to solve a system of nonlinear differential equations, which appears in the line search process in the CCM algorithm. The modified algorithm was tested and the analytical solution was verified using nonlinear CHPED optimization problems, thereby demonstrating the effectiveness of the algorithm. The CCM methods proved numerically stable and, in the case of nonlinear programs, produced solutions with unprecedented accuracy within a reasonable time.

  14. DSPSO-TSA for economic dispatch problem with nonsmooth and noncontinuous cost functions

    Energy Technology Data Exchange (ETDEWEB)

    Khamsawang, S., E-mail: k_suwit999@yahoo.co [Electrical Engineering Department, Faculty of Engineering, King Mongkut' s Institute of Technology Ladkrabang, Ladkrabang District 10520, Bangkok (Thailand); Jiriwibhakorn, S., E-mail: kjsomcha@kmitl.ac.t [Electrical Engineering Department, Faculty of Engineering, King Mongkut' s Institute of Technology Ladkrabang, Ladkrabang District 10520, Bangkok (Thailand)

    2010-02-15

    This paper proposes a new approach based on particle swarm optimization (PSO) and tabu search algorithm (TSA). This proposed approach is called distributed Sobol PSO and TSA (DSPSO-TSA). In order to improve the convergence characteristic and solution quality of searching process, three mechanisms had been presented. Firstly, the Sobol sequence is applied to generate an inertia factor instead of the existing process. Secondly, a distributed process is used so as to reach the global solution rapidly. The search process is divided to multi-stages and used a short-term memory for recognition the best search history. Finally, to guarantee the global solution, TSA had been activated to adjust the obtained solution of DSPSO algorithm. To show its effectiveness, the proposed DSPSO-TSA is applied to test four case studies of economic dispatch (ED) problem considering nonsmooth and noncontinuous fuel cost functions of generating units. The simulation results obtained from DSPSO-TSA are compared with conventional approaches such as genetic algorithm (GA), TSA, PSO, and others in literatures. The comparison results show that the efficiency of proposed approach can reach higher quality solution and faster computational time than the conventional methods.

  15. DSPSO-TSA for economic dispatch problem with nonsmooth and noncontinuous cost functions

    International Nuclear Information System (INIS)

    Khamsawang, S.; Jiriwibhakorn, S.

    2010-01-01

    This paper proposes a new approach based on particle swarm optimization (PSO) and tabu search algorithm (TSA). This proposed approach is called distributed Sobol PSO and TSA (DSPSO-TSA). In order to improve the convergence characteristic and solution quality of searching process, three mechanisms had been presented. Firstly, the Sobol sequence is applied to generate an inertia factor instead of the existing process. Secondly, a distributed process is used so as to reach the global solution rapidly. The search process is divided to multi-stages and used a short-term memory for recognition the best search history. Finally, to guarantee the global solution, TSA had been activated to adjust the obtained solution of DSPSO algorithm. To show its effectiveness, the proposed DSPSO-TSA is applied to test four case studies of economic dispatch (ED) problem considering nonsmooth and noncontinuous fuel cost functions of generating units. The simulation results obtained from DSPSO-TSA are compared with conventional approaches such as genetic algorithm (GA), TSA, PSO, and others in literatures. The comparison results show that the efficiency of proposed approach can reach higher quality solution and faster computational time than the conventional methods.

  16. A Hybrid Constraints Handling Strategy for Multiconstrained Multiobjective Optimization Problem of Microgrid Economical/Environmental Dispatch

    Directory of Open Access Journals (Sweden)

    Xin Li

    2017-01-01

    Full Text Available Microgrid (MG economical/environmental dispatch (MGEED problem is a complex multiobjective optimization topic. Since the generators are diversified and the operation mode changes frequently, the MGEEED problem always has different types of constraints, such as the load balance constraints and the ramp rates constraints, which make it a nonlinear, nonconvex optimization problem. In this paper, the mathematical model of a typical MG system applied in northwest China is established. Then, a hybrid constraints handling strategy (HCHS based on nondominated sorting genetic algorithm II (NSGAII is proposed to deal with the typical constraints, by which the constraints violations can be removed in several steps during the evolutionary process. A dimensionality reduction method is introduced to simplify the optimization model. And an individual repair approach is designed for the violations of ramp rates constraints. In order to balance the weights of various types of constraints, the process of constraints handling in standard NSGAII is revised. Thereafter, HCHS-NSGAII is applied to some typical MGEED problems, considering all kinds of typical constraints. The results show that HCHS-NSGAII can obtain feasible Pareto sets with satisfactory convergence and distribution, which is efficient in handling complex practical industrial MGEED problems with the change of constraints combinations.

  17. Economic and Emission Dispatch Using Ensemble Multi-Objective Differential Evolution Algorithm

    Directory of Open Access Journals (Sweden)

    Xiaobing Yu

    2018-02-01

    Full Text Available In the past two decades, China’s manufacturing industry has achieved great success. However, pollution and environmental impacts have become more serious while this industry has grown. The economic and emission dispatch (EED problem is a typical multi-objective optimization problem with conflicting fuel costs and pollution emission objectives. An ensemble multi-objective differential evolution (EMODE is proposed to tackle the EED problem. First, the equality constraints of the problem have been transformed into inequality constraints. Next, two mutation strategies DE/rand/1 and DE/current-to-rand/1 have been implemented to improve the conventional DE. The performance of the proposed algorithm is evaluated on six test functions and the numerical results have indicated that the proposed algorithm is effective. The proposed algorithm EMODE is used to solve a series of six generators and eleven generators in the EED problem. The experimental results obtained are compared with those reported using single optimization algorithms and multi-objective evolutionary algorithms (MOEAs. The results have revealed that the proposed algorithm EMODE either matches or outperforms those algorithms. The proposed algorithm is an effective candidate to optimize the manufacturing industry of China.

  18. Solving the economic dispatch problem with a modified quantum-behaved particle swarm optimization method

    International Nuclear Information System (INIS)

    Sun Jun; Fang Wei; Wang Daojun; Xu Wenbo

    2009-01-01

    In this paper, a modified quantum-behaved particle swarm optimization (QPSO) method is proposed to solve the economic dispatch (ED) problem in power systems, whose objective is to simultaneously minimize the generation cost rate while satisfying various equality and inequality constraints. The proposed method, denoted as QPSO-DM, combines the QPSO algorithm with differential mutation operation to enhance the global search ability of the algorithm. Many nonlinear characteristics of the generator, such as ramp rate limits, prohibited operating zones, and nonsmooth cost functions are considered when the proposed method is used in practical generator operation. The feasibility of the QPSO-DM method is demonstrated by three different power systems. It is compared with the QPSO, the differential evolution (DE), the particle swarm optimization (PSO), and the genetic algorithm (GA) in terms of the solution quality, robustness and convergence property. The simulation results show that the proposed QPSO-DM method is able to obtain higher quality solutions stably and efficiently in the ED problem than any other tested optimization algorithm.

  19. Analysis of Economic Load Dispatch with a lot of Constraints Using Vortex Search Algorithm

    Directory of Open Access Journals (Sweden)

    Mustafa Saka

    2017-12-01

    Full Text Available In modern powers systems, one of the most considerable topics is economic load dispatch (ELD. ELD is non-linear problem and it became non-convex and non-smooth problem with some constraints such as valve point loading effect. ELD is very crucial for energy generation and distribution in power systems. For solving ELD problem, a lot of methods were developed and used at different power systems. Vortex search algorithm (VSA is proposed and applied for solving ELD problem in this paper. VSA method was developed in the form of stirring liquids. Transmission line losses, valve point loading effect, ramp rate limits and prohibited zones constraints were used to make the results of ELD problem the closest to the truth. The results which are obtained from VSA compared with PSO, CPSO, WIPSO, MFO, GA and MRPSO techniques. It can be clearly seen that VSA gave minimum cost values with optimum generator powers so it is very effective and useful method and it gave the best solutions for ELD.

  20. Multi-Objective Low-Carbon Economic Dispatch Considering Demand Response with Wind Power Integrated Systems

    Directory of Open Access Journals (Sweden)

    Liu Wenjuan

    2017-01-01

    Full Text Available The generation cost, carbon emissions and customers’ satisfaction are considered in this paper. On the basis of this, the multi-objective and low-carbon economic dispatch model with wind farm, this considers demand response, is established. The model user stochastic programming theory to describe the uncertainty of the wind power and converts it into an equivalent deterministic model by using distribution function of wind power output, optimizes demand side resources to adjust the next day load curve and to improve load rate and absorptive capacity of wind power, introduce customers’ satisfaction to ensure that the scheduling scheme satisfies customer and integrate the resources of source and load to unify coordination wind farm access to network and to meet the requirements of energy saving and emission reduction. The search process of artificial fish school algorithm introducing Tabu search and more targeted search mechanism, an multi-objective improved artificial fish school algorithm is proposed to solve this model. Using the technique for order preference by similarity to ideal solution (TOPSIS to sort the Pareto frontier, the optimal scheduling scheme is determined. Simulation results verify the rationality and validity of the proposed model and algorithm.

  1. A Novel EP Approach for Power Economic Dispatch with Valve-Point Effects and Multiple Fuel Options

    Directory of Open Access Journals (Sweden)

    P.S. Manoharan

    2008-06-01

    Full Text Available This paper presents a novel approach to economic dispatch problems with valve point effects and multiple fuel options using a hybrid evolutionary programming method. Determination of global optimum solution for the practical economic dispatch problem having non smooth cost functions is difficult by using conventional mathematical approaches. Hence several evolutionary algorithm methods were proposed to solve this problem. In this paper, EP-LMO (Evolutionary Programming with Levenberg-Marquardt Optimization technique is proposed to solve economic dispatch problems with valve point effects and multiple fuel options. The EP-LMO is developed in such a way that a simple evolutionary programming (EP is applied as a base level search to find the direction of the optimal global region. And Levenberg-Marquardt Optimization (LMO method is used as a fine tuning to determine the optimal solution. To illustrate the efficiency and effectiveness of the proposed approach, two bench mark problems are considered. First test problem considers multiple fuel options and next problem addresses both valve-point effects and multi-fuel options. To validate the obtained results, the proposed method is compared with the results of conventional numerical methods, Modified Hop-field Neural network, Evolutionary Programming approaches, Modified PSO, Improved PSO and Improved Genetic Algorithm with multiplier updating (IGA_MUmethod.

  2. An efficient cultural self-organizing migrating strategy for economic dispatch optimization with valve-point effect

    International Nuclear Information System (INIS)

    Coelho, Leandro dos Santos; Mariani, Viviana Cocco

    2010-01-01

    Recently, a new class of stochastic optimization algorithm called SOMA (self-organizing migrating algorithm) was proposed in the literature. SOMA works on a population of potential solutions called specimen and it is based on the self-organizing behavior of groups of individuals in a 'social environment'. This paper proposes a SOMA approach combined with a cultural algorithm (CSOMA) technique based on normative knowledge as an alternative method to solving the economic load dispatch problem of thermal generators with the valve-point effect. The classical SOMA and CSOMA approaches are validated for two test systems consisting of 13 and 40 thermal generators whose non-smooth fuel cost function takes into account the valve-point loading effects. Numerical results indicate that performance of the CSOMA present best results when compared with results of others optimization methods found in the literature in solving load dispatch problems with the valve-point effect.

  3. Minimizing Uncertainties Impact in Decision Making with an Applicability Study for Economic Power Dispatch

    Energy Technology Data Exchange (ETDEWEB)

    Wang, Hong [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Wang, Shaobu [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Fan, Rui [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Zhang, Zhuanfang [Pacific Northwest National Lab. (PNNL), Richland, WA (United States)

    2016-09-30

    This report summaries the work performed under the LDRD project on the preliminary study on knowledge automation, where specific focus has been made on the investigation of the impact of uncertainties of human decision making onto the optimization of the process operation. At first the statistics on signals from the Brain-Computing Interface (BCI) is analyzed so as to obtain the uncertainties characterization of human operators during the decision making phase using the electroencephalogram (EEG) signals. This is then followed by the discussions of an architecture that reveals the equivalence between optimization and closed loop feedback control design, where it has been shown that all the optimization problems can be transferred into the control design problem for closed loop systems. This has led to a “closed loop” framework, where the structure of the decision making is shown to be subjected to both process disturbances and controller’s uncertainties. The latter can well represent the uncertainties or randomness occurred during human decision making phase. As a result, a stochastic optimization problem has been formulated and a novel solution has been proposed using probability density function (PDF) shaping for both the cost function and the constraints using stochastic distribution control concept. A sufficient condition has been derived that guarantees the convergence of the optimal solution and discussions have been made for both the total probabilistic solution and chanced constrained optimization which have been well-studied in optimal power flows (OPF) area. A simple case study has been carried out for the economic dispatch of powers for a grid system when there are distributed energy resources (DERs) in the system, and encouraging results have been obtained showing that a significant savings on the generation cost can be expected.

  4. Operation management of daily economic dispatch using novel hybrid particle swarm optimization and gravitational search algorithm with hybrid mutation strategy

    Science.gov (United States)

    Wang, Yan; Huang, Song; Ji, Zhicheng

    2017-07-01

    This paper presents a hybrid particle swarm optimization and gravitational search algorithm based on hybrid mutation strategy (HGSAPSO-M) to optimize economic dispatch (ED) including distributed generations (DGs) considering market-based energy pricing. A daily ED model was formulated and a hybrid mutation strategy was adopted in HGSAPSO-M. The hybrid mutation strategy includes two mutation operators, chaotic mutation, Gaussian mutation. The proposed algorithm was tested on IEEE-33 bus and results show that the approach is effective for this problem.

  5. Incremental artificial bee colony with local search to economic dispatch problem with ramp rate limits and prohibited operating zones

    International Nuclear Information System (INIS)

    Özyön, Serdar; Aydin, Doğan

    2013-01-01

    Highlights: ► Prohibited operating zone economic dispatch problem has been solved by IABC-LS. ► The losses used in the solution of the problem have been computed by B-loss matrix. ► IABC-LS method has been applied to three test systems in literature. ► The values obtained by IABC and IABC-LS are better than the results in literature. - Abstract: In this study, prohibited operating zone economic power dispatch problem which considers ramp rate limit, has been solved by incremental artificial bee colony algorithm (IABC) and incremental artificial bee colony algorithm with local search (IABC-LS) methods. The transmission line losses used in the solution of the problem have been computed by B-loss matrix. IABC, IABC-LS methods have been applied to three different test systems in literature which consist of 6, 15 and 40 generators. The attained optimum solution values have been compared with the optimum results in literature and have been discussed.

  6. A modified Symbiotic Organisms Search algorithm for large scale economic dispatch problem with valve-point effects

    International Nuclear Information System (INIS)

    Secui, Dinu Calin

    2016-01-01

    This paper proposes a new metaheuristic algorithm, called Modified Symbiotic Organisms Search (MSOS) algorithm, to solve the economic dispatch problem considering the valve-point effects, the prohibited operating zones (POZ), the transmission line losses, multi-fuel sources, as well as other operating constraints of the generating units and power system. The MSOS algorithm introduces, in all of its phases, new relations to update the solutions to improve its capacity of identifying stable and of high-quality solutions in a reasonable time. Furthermore, to increase the capacity of exploring the MSOS algorithm in finding the most promising zones, it is endowed with a chaotic component generated by the Logistic map. The performance of the modified algorithm and of the original algorithm Symbiotic Organisms Search (SOS) is tested on five systems of different characteristics, constraints and dimensions (13-unit, 40-unit, 80-unit, 160-unit and 320-unit). The results obtained by applying the proposed algorithm (MSOS) show that this has a better performance than other techniques of optimization recently used in solving the economic dispatch problem with valve-point effects. - Highlights: • A new modified SOS algorithm (MSOS) is proposed to solve the EcD problem. • Valve-point effects, ramp-rate limits, POZ, multi-fuel sources, transmission losses were considered. • The algorithm is tested on five systems having 13, 40, 80, 160 and 320 thermal units. • MSOS algorithm outperforms many other optimization techniques.

  7. The chaotic global best artificial bee colony algorithm for the multi-area economic/emission dispatch

    International Nuclear Information System (INIS)

    Secui, Dinu Calin

    2015-01-01

    This paper suggests a chaotic optimizing method, based on the GBABC (global best artificial bee colony algorithm), where the random sequences used in updating the solutions of this algorithm are replaced with chaotic sequences generated by chaotic maps. The new algorithm, called chaotic CGBABC (global best artificial bee colony algorithm), is used to solving the multi-area economic/emission dispatch problem taking into consideration the valve-point effects, the transmission line losses, multi-fuel sources, prohibited operating zones, tie line capacity and power transfer cost between different areas of the system. The behaviour of the CGBABC algorithm is studied considering ten chaotic maps both one-dimensional and bi-dimensional, with various probability density functions. The CGBABC algorithm's performance including a variety of chaotic maps is tested on five systems (6-unit, 10-unit, 16-unit, 40-unit and 120-unit) with different characteristics, constraints and sizes. The results comparison highlights a hierarchy in the chaotic maps included in the CGBABC algorithm and shows that it performs better than the classical ABC algorithm, the GBABC algorithm and other optimization techniques. - Highlights: • A chaotic global best ABC algorithm (CGBABC) is presented. • CGBABC is applied for solving the multi-area economic/emission dispatch problem. • Valve-point effects, multi-fuel sources, POZ, transmission losses were considered. • The algorithm is tested on five systems having 6, 10, 16, 40 and 120 thermal units. • CGBABC algorithm outperforms several optimization techniques.

  8. The Mathematics of Dispatchability Revisited

    Science.gov (United States)

    Morris, Paul

    2016-01-01

    Dispatchability is an important property for the efficient execution of temporal plans where the temporal constraints are represented as a Simple Temporal Network (STN). It has been shown that every STN may be reformulated as a dispatchable STN, and dispatchability ensures that the temporal constraints need only be satisfied locally during execution. Recently it has also been shown that Simple Temporal Networks with Uncertainty, augmented with wait edges, are Dynamically Controllable provided every projection is dispatchable. Thus, the dispatchability property has both theoretical and practical interest. One thing that hampers further work in this area is the underdeveloped theory. The existing definitions are expressed in terms of algorithms, and are less suitable for mathematical proofs. In this paper, we develop a new formal theory of dispatchability in terms of execution sequences. We exploit this to prove a characterization of dispatchability involving the structural properties of the STN graph. This facilitates the potential application of the theory to uncertainty reasoning.

  9. Object-Oriented Economic Power Dispatch of Electrical Power System with minimum pollution using a Genetic Algorithm

    Directory of Open Access Journals (Sweden)

    T. Bouktir

    2005-06-01

    Full Text Available This paper presents solution of optimal power flow (OPF problem of electrical power system via a genetic algorithm of real type. The objective is to minimize the total fuel cost of generation and environmental pollution caused by fossil based thermal generating units and also maintain an acceptable system performance in terms of limits on generator real and reactive power outputs, bus voltages, shunt capacitors/reactors, transformers tap-setting and power flow of transmission lines. CPU times can be reduced by decomposing the optimization constraints to active constraints that affect directly the cost function manipulated directly the GA, and passive constraints such as generator bus voltages and transformer tap setting maintained in their soft limits using a conventional constraint load flow. The algorithm was developed in an Object Oriented fashion, in the C++ programming language. This option satisfies the requirements of flexibility, extensibility, maintainability and data integrity. The economic power dispatch is applied to IEEE 30-bus model system (6-generator, 41-line and 20-load. The numerical results have demonstrate the effectiveness of the stochastic search algorithms because its can provide accurate dispatch solutions with reasonable time. Further analyses indicate that this method is effective for large-scale power systems.

  10. A novel chaotic particle swarm optimization approach using Henon map and implicit filtering local search for economic load dispatch

    International Nuclear Information System (INIS)

    Coelho, Leandro dos Santos; Mariani, Viviana Cocco

    2009-01-01

    Particle swarm optimization (PSO) is a population-based swarm intelligence algorithm driven by the simulation of a social psychological metaphor instead of the survival of the fittest individual. Based on the chaotic systems theory, this paper proposed a novel chaotic PSO combined with an implicit filtering (IF) local search method to solve economic dispatch problems. Since chaotic mapping enjoys certainty, ergodicity and the stochastic property, the proposed PSO introduces chaos mapping using Henon map sequences which increases its convergence rate and resulting precision. The chaotic PSO approach is used to produce good potential solutions, and the IF is used to fine-tune of final solution of PSO. The hybrid methodology is validated for a test system consisting of 13 thermal units whose incremental fuel cost function takes into account the valve-point loading effects. Simulation results are promising and show the effectiveness of the proposed approach.

  11. Environmental/economic dispatch problem of power system by using an enhanced multi-objective differential evolution algorithm

    International Nuclear Information System (INIS)

    Lu Youlin; Zhou Jianzhong; Qin Hui; Wang Ying; Zhang Yongchuan

    2011-01-01

    An enhanced multi-objective differential evolution algorithm (EMODE) is proposed in this paper to solve environmental/economic dispatch (EED) problem by considering the minimal of fuel cost and emission effects synthetically. In the proposed algorithm, an elitist archive technique is adopted to retain the non-dominated solutions obtained during the evolutionary process, and the operators of DE are modified according to the characteristics of multi-objective optimization problems. Moreover, in order to avoid premature convergence, a local random search (LRS) operator is integrated with the proposed method to improve the convergence performance. In view of the difficulties of handling the complicated constraints of EED problem, a new heuristic constraints handling method without any penalty factor settings is presented. The feasibility and effectiveness of the proposed EMODE method is demonstrated for a test power system. Compared with other methods, EMODE can get higher quality solutions by reducing the fuel cost and the emission effects synthetically.

  12. Predictor-Corrector Primal-Dual Interior Point Method for Solving Economic Dispatch Problems: A Postoptimization Analysis

    Directory of Open Access Journals (Sweden)

    Antonio Roberto Balbo

    2012-01-01

    Full Text Available This paper proposes a predictor-corrector primal-dual interior point method which introduces line search procedures (IPLS in both the predictor and corrector steps. The Fibonacci search technique is used in the predictor step, while an Armijo line search is used in the corrector step. The method is developed for application to the economic dispatch (ED problem studied in the field of power systems analysis. The theory of the method is examined for quadratic programming problems and involves the analysis of iterative schemes, computational implementation, and issues concerning the adaptation of the proposed algorithm to solve ED problems. Numerical results are presented, which demonstrate improvements and the efficiency of the IPLS method when compared to several other methods described in the literature. Finally, postoptimization analyses are performed for the solution of ED problems.

  13. Economic Load Dispatch - A Comparative Study on Heuristic Optimization Techniques With an Improved Coordinated Aggregation-Based PSO

    DEFF Research Database (Denmark)

    Vlachogiannis, Ioannis (John); Lee, KY

    2009-01-01

    In this paper an improved coordinated aggregation-based particle swarm optimization (ICA-PSO) algorithm is introduced for solving the optimal economic load dispatch (ELD) problem in power systems. In the ICA-PSO algorithm each particle in the swarm retains a memory of its best position ever...... and the particles search the decision space with accuracy up to two digit points resulting in the improved convergence of the process. The ICA-PSO algorithm is tested on a number of power systems, including the systems with 6, 13, 15, and 40 generating units, the island power system of Crete in Greece...... encountered, and is attracted only by other particles with better achievements than its own with the exception of the particle with the best achievement, which moves randomly. Moreover, the population size is increased adaptively, the number of search intervals for the particles is selected adaptively...

  14. Day-ahead stochastic economic dispatch of wind integrated power system considering demand response of residential hybrid energy system

    International Nuclear Information System (INIS)

    Jiang, Yibo; Xu, Jian; Sun, Yuanzhang; Wei, Congying; Wang, Jing; Ke, Deping; Li, Xiong; Yang, Jun; Peng, Xiaotao; Tang, Bowen

    2017-01-01

    Highlights: • Improving the utilization of wind power by the demand response of residential hybrid energy system. • An optimal scheduling of home energy management system integrating micro-CHP. • The scattered response capability of consumers is aggregated by demand bidding curve. • A stochastic day-ahead economic dispatch model considering demand response and wind power. - Abstract: As the installed capacity of wind power is growing, the stochastic variability of wind power leads to the mismatch of demand and generated power. Employing the regulating capability of demand to improve the utilization of wind power has become a new research direction. Meanwhile, the micro combined heat and power (micro-CHP) allows residential consumers to choose whether generating electricity by themselves or purchasing from the utility company, which forms a residential hybrid energy system. However, the impact of the demand response with hybrid energy system contained micro-CHP on the large-scale wind power utilization has not been analyzed quantitatively. This paper proposes an operation optimization model of the residential hybrid energy system based on price response, integrating micro-CHP and smart appliances intelligently. Moreover, a novel load aggregation method is adopted to centralize scattered response capability of residential load. At the power grid level, a day-ahead stochastic economic dispatch model considering demand response and wind power is constructed. Furthermore, simulation is conducted respectively on the modified 6-bus system and IEEE 118-bus system. The results show that with the method proposed, the wind power curtailment of the system decreases by 78% in 6-bus system. In the meantime, the energy costs of residential consumers and the operating costs of the power system reduced by 10.7% and 11.7% in 118-bus system, respectively.

  15. Computational methods of Gaussian Particle Swarm Optimization (GPSO) and Lagrange Multiplier on economic dispatch issues (case study on electrical system of Java-Bali IV area)

    Science.gov (United States)

    Komsiyah, S.

    2014-03-01

    The objective in this paper is about economic dispatch problem of electric power generation where scheduling the committed generating units outputs so as to meet the required load demand at minimum operating cost, while satisfying all units and system equality and inequality constraint. In the operating of electric power system, an economic planning problem is one of variables that its must be considered since economically planning will give more efficiency in operational cost. In this paper the economic dispatch problem which has non linear cost function solved by using swarm intelligent method is Gaussian Particle Swarm Optimization (GPSO) and Lagrange Multiplier. GPSO is a population-based stochastic algorithms which their moving inspired by swarm intelligent and probabilities theories. To analize its accuracy, the economic dispatch solution by GPSO method will be compared with Lagrange multiplier method. From the running test result the GPSO method give economically planning calculation which it better than Lagrange multiplier method and the GPSO method faster to getting error convergence. Therefore the GPSO method have better performance to getting global best solution than the Lagrange method.

  16. Corrective economic dispatch and operational cycles for probabilistic unit commitment with demand response and high wind power

    International Nuclear Information System (INIS)

    Azizipanah-Abarghooee, Rasoul; Golestaneh, Faranak; Gooi, Hoay Beng; Lin, Jeremy; Bavafa, Farhad; Terzija, Vladimir

    2016-01-01

    Highlights: • Suggesting a new UC mixing a probabilistic security and incentive demand response. • Investigating the effects of uncertainty on UC using chance-constraint programming. • Proposing an efficient spinning reserve satisfaction based on a new ED correction. • Presenting a new operational cycles way to convert binary variable to discrete one. - Abstract: We propose a probabilistic unit commitment problem with incentive-based demand response and high level of wind power. Our novel formulation provides an optimal allocation of up/down spinning reserve. A more efficient unit commitment algorithm based on operational cycles is developed. A multi-period elastic residual demand economic model based on the self- and cross-price elasticities and customers’ benefit function is used. In the proposed scheme, the probability of residual demand falling within the up/down spinning reserve imposed by n − 1 security criterion is considered as a stochastic constraint. A chance-constrained method, with a new iterative economic dispatch correction, wind power curtailment, and commitment of cheaper units, is applied to guarantee that the probability of loss of load is lower than a pre-defined risk level. The developed architecture builds upon an improved Jaya algorithm to generate feasible, robust and optimal solutions corresponding to the operational cost. The proposed framework is applied to a small test system with 10 units and also to the IEEE 118-bus system to illustrate its advantages in efficient scheduling of generation in the power systems.

  17. Economic Dispatch of the Low-Carbon Green Certificate with Wind Farms Based on Fuzzy Chance Constraints

    Directory of Open Access Journals (Sweden)

    Xiuyun Wang

    2018-04-01

    Full Text Available As the low-carbon economy continues to expand, wind power, as one form of clean energy, promotes the low-carbon power development process. In this paper, a multi-objective environmental economic dispatch (EED model is proposed considering multiple uncertainties of the system. Carbon trading costs and green certificate trading costs are introduced into the economic costs. Meanwhile, the objective function of pollutant emissions is taken into account in the model, which can further promote the reduction of pollutant emissions in the system scheduling. The output of wind turbines is uncertain and volatile, so it brings new challenges to the power system EED once the large-scale wind power accesses the power grid. For the multiple uncertainties of the system, fuzzy chance-constrained programming is introduced, and the output of the wind turbines and the load are regarded as fuzzy variables. We use the clear equivalence forms to clarify the fuzzy chance constraints. The improved multi-objective standard particle swarm optimization (SPSO algorithm is used to solve the optimization problem effectively. The feasibility and effectiveness of the proposed model and algorithm are verified by an example of a 10-unit system with two wind farms.

  18. Improved quantum-inspired evolutionary algorithm with diversity information applied to economic dispatch problem with prohibited operating zones

    International Nuclear Information System (INIS)

    Vianna Neto, Julio Xavier; Andrade Bernert, Diego Luis de; Santos Coelho, Leandro dos

    2011-01-01

    The objective of the economic dispatch problem (EDP) of electric power generation, whose characteristics are complex and highly nonlinear, is to schedule the committed generating unit outputs so as to meet the required load demand at minimum operating cost while satisfying all unit and system equality and inequality constraints. Recently, as an alternative to the conventional mathematical approaches, modern meta-heuristic optimization techniques have been given much attention by many researchers due to their ability to find an almost global optimal solution in EDPs. Research on merging evolutionary computation and quantum computation has been started since late 1990. Inspired on the quantum computation, this paper presented an improved quantum-inspired evolutionary algorithm (IQEA) based on diversity information of population. A classical quantum-inspired evolutionary algorithm (QEA) and the IQEA were implemented and validated for a benchmark of EDP with 15 thermal generators with prohibited operating zones. From the results for the benchmark problem, it is observed that the proposed IQEA approach provides promising results when compared to various methods available in the literature.

  19. Industrial Dynamics and Economic Geography

    NARCIS (Netherlands)

    Capasso, Marco; Stam, Erik; Cefis, Elena

    2015-01-01

    Capasso M., Stam E. and Cefis E. Industrial dynamics and economic geography, Regional Studies. How do industries emerge and evolve over space? In this special issue the fields of industrial dynamics and economic geography are brought together in order to achieve a richer and more fundamental

  20. A modified gravitational search algorithm based on a non-dominated sorting genetic approach for hydro-thermal-wind economic emission dispatching

    International Nuclear Information System (INIS)

    Chen, Fang; Zhou, Jianzhong; Wang, Chao; Li, Chunlong; Lu, Peng

    2017-01-01

    Wind power is a type of clean and renewable energy, and reasonable utilization of wind power is beneficial to environmental protection and economic development. Therefore, a short-term hydro-thermal-wind economic emission dispatching (SHTW-EED) problem is presented in this paper. The proposed problem aims to distribute the load among hydro, thermal and wind power units to simultaneously minimize economic cost and pollutant emission. To solve the SHTW-EED problem with complex constraints, a modified gravitational search algorithm based on the non-dominated sorting genetic algorithm-III (MGSA-NSGA-III) is proposed. In the proposed MGSA-NSGA-III, a non-dominated sorting approach, reference-point based selection mechanism and chaotic mutation strategy are applied to improve the evolutionary process of the original gravitational search algorithm (GSA) and maintain the distribution diversity of Pareto optimal solutions. Moreover, a parallel computing strategy is introduced to improve the computational efficiency. Finally, the proposed MGSA-NSGA-III is applied to a typical hydro-thermal-wind system to verify its feasibility and effectiveness. The simulation results indicate that the proposed algorithm can obtain low economic cost and small pollutant emission when dealing with the SHTW-EED problem. - Highlights: • A hybrid algorithm is proposed to handle hydro-thermal-wind power dispatching. • Several improvement strategies are applied to the algorithm. • A parallel computing strategy is applied to improve computational efficiency. • Two cases are analyzed to verify the efficiency of the optimize mode.

  1. Closure to Discussion on "Economic Load Dispatch-A Comparative Study on Heuristic Optimization Techniques With an Improved Coordinated Aggregation-Based PSO"

    DEFF Research Database (Denmark)

    Vlachogiannis, Ioannis (John); Lee, K. Y.

    2010-01-01

    In this paper an improved coordinated aggregation-based particle swarm optimization algorithm is introduced for solving the optimal economic load dispatch problem in power systems. In the improved coordinated aggregation-based particle swarm optimization algorithm each particle in the swarm retains...... a memory of its best position ever encountered, and is attracted only by other particles with better achievements than its own with the exception of the particle with the best achievement, which moves randomly.The ICA-PSO algorithm is tested on a number of power systems, including the systems with 6, 13...

  2. Dispatching strategies for coordinating environmental awareness and risk perception in wind power integrated system

    International Nuclear Information System (INIS)

    Jin, Jingliang; Zhou, Dequn; Zhou, Peng; Qian, Shuqu; Zhang, Mingming

    2016-01-01

    Wind power plays a significant role in economic and environmental operation of electric power system. Meanwhile, the variability and uncertainty characteristics of wind power generation bring technical and economical challenges for power system operation. In order to harmonize the relationship between environmental protection and risk management in power dispatching, this paper presents a stochastic dynamic economic emission dispatch model combining risk perception with environmental awareness of decision-makers by following the principle of chance-constrained programming. In this power dispatching model, the description of wind power uncertainty is derived from the probability statistic character of wind speed. Constraints-handling techniques as a heuristic strategy are embedded into non-dominated sorting genetic algorithm-II. In addition, more information is digested from the Pareto optimum solution set by cluster analysis and fuzzy set theory. The simulation results eventually demonstrate that the increase of the share of wind power output will bring higher risk, though it is beneficial for economic cost and environmental protection. Since different risk perception and environmental awareness can possibly lead to diverse non-dominated solutions, decision-makers may choose an appropriate dispatching strategy according to their specific risk perception and environmental awareness. - Highlights: • A dispatch model combining environmental awareness and risk perception is proposed. • The uncertain characteristic of available wind power is determined. • Constraints-handling techniques are embedded into genetic algorithm. • An appropriate decision-making method is designed. • Dispatching strategies can be coordinated by the proposed model and method.

  3. Heuristics in dynamic scheduling : A practical framework with a case study in elevator dispatching

    NARCIS (Netherlands)

    De Jong, J.L.

    2012-01-01

    Dynamic scheduling problems are ubiquitous: traffic lights, elevators, planning of manufacturing plants, air traffic control, etc. Tasks have to be put on a timeline as smart as possible to reach certain goals. These goals may be related to production costs, the use of (scarce) resources, deadlines.

  4. Analysis and effect of multi-fuel and practical constraints on economic load dispatch in the presence of Unified Power Flow Controller using UDTPSO

    Directory of Open Access Journals (Sweden)

    Chintalapudi V. Suresh

    2015-09-01

    Full Text Available This paper presents an attempt to analyze the effect of multi-fuel and practical constraints on economic load dispatch problem using a novel uniform distributed two-stage particle swarm optimization (UDTPSO algorithm without and with unified power flow controller (UPFC while satisfying equality, inequality, practical constraints such as ramp-rate and prohibited operating zone (POZ limits and device operating limits. A Novel severity function is formulated based on the transmission line overloads and bus voltage violations to identify an optimal location to install UPFC. A multi-objective optimization problem is solved for multi-fuel non-convex cost and transmission power loss objectives. Obtained results for considered standard test functions and electrical systems indicate the effectiveness of the proposed algorithm and can obtain efficient solution when compared to existing methods. Hence, the proposed method is a promising method and can be easily applied to optimize the power system objectives.

  5. Particle swarm approach based on quantum mechanics and harmonic oscillator potential well for economic load dispatch with valve-point effects

    Energy Technology Data Exchange (ETDEWEB)

    dos Santos Coelho, Leandro [Pontifical Catholic University of Parana, PUCPR Industrial and Systems Engineering Graduate Program, PPGEPS, Imaculada Conceicao, 1155, Zip code 80215-901, Curitiba, PR (Brazil); Mariani, Viviana Cocco [Pontifical Catholic University of Parana, PUCPR Mechanical Engineering Graduate Program, PPGEM, Imaculada Conceicao, 1155, Zip code 80215-901, Curitiba, PR (Brazil)

    2008-11-15

    Particle swarm optimization (PSO) algorithm is population-based heuristic global search algorithm inspired by social behavior patterns of organisms that live and interact within large groups. The PSO is based on researches on swarms such as fish schooling and bird flocking. Inspired by the classical PSO method and quantum mechanics theories, this work presents a quantum-inspired version of the PSO (QPSO) using the harmonic oscillator potential well (HQPSO) to solve economic dispatch problems. A 13-units test system with incremental fuel cost function that takes into account the valve-point loading effects is used to illustrate the effectiveness of the proposed HQPSO method compared with the simulation results based on the classical PSO, the QPSO, and other optimization algorithms reported in the literature. (author)

  6. Particle swarm approach based on quantum mechanics and harmonic oscillator potential well for economic load dispatch with valve-point effects

    Energy Technology Data Exchange (ETDEWEB)

    Santos Coelho, Leandro dos [Pontifical Catholic University of Parana, PUCPR Industrial and Systems Engineering Graduate Program, PPGEPS, Imaculada Conceicao, 1155, Zip code 80215-901, Curitiba, PR (Brazil)], E-mail: leandro.coelho@pucpr.br; Mariani, Viviana Cocco [Pontifical Catholic University of Parana, PUCPR Mechanical Engineering Graduate Program, PPGEM, Imaculada Conceicao, 1155, Zip code 80215-901, Curitiba, PR (Brazil)], E-mail: viviana.mariani@pucpr.br

    2008-11-15

    Particle swarm optimization (PSO) algorithm is population-based heuristic global search algorithm inspired by social behavior patterns of organisms that live and interact within large groups. The PSO is based on researches on swarms such as fish schooling and bird flocking. Inspired by the classical PSO method and quantum mechanics theories, this work presents a quantum-inspired version of the PSO (QPSO) using the harmonic oscillator potential well (HQPSO) to solve economic dispatch problems. A 13-units test system with incremental fuel cost function that takes into account the valve-point loading effects is used to illustrate the effectiveness of the proposed HQPSO method compared with the simulation results based on the classical PSO, the QPSO, and other optimization algorithms reported in the literature.

  7. Demand Response and Economic Dispatch of Power Systems Considering Large-Scale Plug-in Hybrid Electric Vehicles/Electric Vehicles (PHEVs/EVs: A Review

    Directory of Open Access Journals (Sweden)

    Xiaohui Xu

    2013-08-01

    Full Text Available Increasing concerns about global environmental issues have led to the urgent development of green transportation. The enthusiasm of governments should encourage the prosperity of the plug-in hybrid electric vehicles/electric vehicles (PHEVs/EVs industry in the near future. PHEVs/EVs are not only an alternative to gasoline but are also burgeoning units for power systems. The impact of large-scale PHEVs/EVs on power systems is of profound significance. This paper discusses how to use PHEVs/EVs as a useful new tool for system operation and regulation from a review of recent studies and mainly considers two mainstream methods: demand response and economic dispatch. The potential of using PHEVs/EVs to coordinate renewable energy resources is also discussed in terms of accepting more renewable resources without violating the safety and the reliability of power systems or increasing the operation cost significantly.

  8. THE COMPARATIVE ANALYSIS OF ECONOMIC DISPATCH AND OPTIMAL POWER FLOW METHODS FOR 22-BUS 380-kV POWER SYSTEM IN TURKEY

    Directory of Open Access Journals (Sweden)

    Mehmet KURBAN

    2007-03-01

    Full Text Available In this paper, the economic dispatch and optimal power flow (OPF methods for the purpose of supplying the load demand with minimum cost is used for 22-bus 380-kV power system in Turkey which consists of 8 thermal plants operated by EUAS (Electricity Generation Co. Inc.and the results found are analyzed comparatively. The results of analysis are given in tables and figures. The analysis made is implemented by the software using MATLAB®. Furthermore, the software can be used for different power systems by using the graphical user interface (GUI. All data used in this study is taken from TEIAS (Transmission System Operator of Turkey and EUAS.

  9. An Improved Quantum-Behaved Particle Swarm Optimization Method for Economic Dispatch Problems with Multiple Fuel Options and Valve-Points Effects

    Directory of Open Access Journals (Sweden)

    Hong-Yun Zhang

    2012-09-01

    Full Text Available Quantum-behaved particle swarm optimization (QPSO is an efficient and powerful population-based optimization technique, which is inspired by the conventional particle swarm optimization (PSO and quantum mechanics theories. In this paper, an improved QPSO named SQPSO is proposed, which combines QPSO with a selective probability operator to solve the economic dispatch (ED problems with valve-point effects and multiple fuel options. To show the performance of the proposed SQPSO, it is tested on five standard benchmark functions and two ED benchmark problems, including a 40-unit ED problem with valve-point effects and a 10-unit ED problem with multiple fuel options. The results are compared with differential evolution (DE, particle swarm optimization (PSO and basic QPSO, as well as a number of other methods reported in the literature in terms of solution quality, convergence speed and robustness. The simulation results confirm that the proposed SQPSO is effective and reliable for both function optimization and ED problems.

  10. Methods of determining incremental energy costs for economic dispatch and inter-utility interchange in Canadian utilities

    International Nuclear Information System (INIS)

    El-Hawary, M.E.; El-Hawary, F.; Mbamalu, G.A.N.

    1991-01-01

    A questionnaire was mailed to ten Canadian utilities to determine the methods the utilities use in determining the incremental cost of delivering energy at any time. The questionnaire was divided into three parts: generation, transmission and general. The generation section dealt with heat rates, fuel, operation and maintenance, startup and shutdown, and method of prioritizing and economic evaluation of interchange transactions. Transmission dealt with inclusion of transmission system incremental maintenance costs, and transmission losses determination. The general section dealt with incremental costs aspects, and various other economic considerations. A summary is presented of responses to the questionnaire

  11. Dynamic Economic Dispatch Pada Sistem Kelistrikan Microgrid Dengan Penambahan Media Penyimpan Energi Menggunakan Quadratic Programming

    OpenAIRE

    Fakhruddin Wirakusuma; Heri Suryoatmojo; Rony Seto Wibowo

    2017-01-01

    Kebutuhan daya listrik saat ini meningkat pesat seiring dengan perkembangan teknologi. Peningkatan kebutuhan daya listrik ini bertolak belakang dengan menipisnya ketersediaan sumber energy minyak dan batu bara. Permasalahan ini berdampak pada ketahanan listrik nasional. Untuk memenuhi kebutuhan daya listrik yang besar dengan cakupan wilayah yang luas diperlukan pembangkit tersebar berskala kecil. Pembangkit tersebar ini diupayakan bersumber pada energi terbarukan untuk meminimalkan pemakaian ...

  12. Towards a Dynamic (Schumpeterian) Welfare Economics

    NARCIS (Netherlands)

    W.A. Dolfsma (Wilfred)

    2004-01-01

    textabstractFor an economy where knowledge plays an increasingly important role in shaping its dynamics, economics needs a dynamic (Schumpeterian) welfare theory. This paper sketches the role of knowledge in an economy and argues that a static Paretian welfare economics is inadequate, or at least

  13. Microgrid management architecture considering optimal battery dispatch

    Science.gov (United States)

    Paul, Tim George

    Energy management and economic operation of microgrids with energy storage systems at the distribution level have attracted significant research interest in recent years. One of the challenges in this area has been the coordination of energy management functions with decentralized and centralized dispatch. In this thesis a distributed dispatch algorithm for a microgrid consisting of a photovoltaic source with energy storage which can work with a centralized dispatch algorithm that ensure stability of the microgrid is proposed. To this end, first a rule based dispatch algorithm is formulated which is based on maximum resource utilization and can work in both off grid and grid connected mode. Then a fixed horizon optimization algorithm which minimizes the cost of power taken from the grid is developed. In order to schedule the battery based on changes in the PV farm a predictive horizon methodology based optimization is designed. Further, the rule based and optimization based dispatch methodologies is linked to optimize the voltage deviations at the microgrid Point of Common Coupling (PCC). The main advantage of the proposed method is that, an optimal active power dispatch considering the nominal voltage bandwidth can be initiated for the microgrid in both grid connected or off grid mode of operation. Also, the method allows the grid operator to consider cost based optimal renewable generation scheduling and/or the maximum power extraction based modes of operation simultaneously or separately based on grid operating conditions and topologies. Further, the methods allows maintaining PCC voltage within the limits during these modes of operation and at the same time ensure that the battery dispatch is optimal.

  14. System dynamics model of taxi management in metropolises: Economic and environmental implications for Beijing.

    Science.gov (United States)

    Wang, Hao; Zhang, Kai; Chen, Junhua; Wang, Zhifeng; Li, Guijun; Yang, Yuqi

    2018-05-01

    Taxis are an important component of urban passenger transport. Research on the daily dispatching of taxis and the utility of governmental management is important for the improvement of passenger travel, taxi driver income and environmental impacts. However, urban taxi management is a complex and dynamic system that is affected by many factors, and positive/negative feedback relationships and nonlinear interactions exist between each subsystem and variable. Therefore, conventional research methods can hardly depict its characteristics comprehensively. To bridge this gap, this paper develops a system dynamics model of urban taxi management, in which the empty-loaded rate and total demand are selected as key factors affecting taxi dispatching, and the impacts of taxi fares on driver income and travel demand are taken into account. After the validation of the model, taxi operations data derived from a prior analysis of origin-destination data of Beijing taxis are used as input for the model to simulate the taxi market in Beijing. Finally, economic and environmental implications are provided for the government to optimise policies on taxi management. Copyright © 2018 Elsevier Ltd. All rights reserved.

  15. Parallel dispatch: a new paradigm of electrical power system dispatch

    Energy Technology Data Exchange (ETDEWEB)

    Zhang, Jun Jason; Wang, Fei-Yue; Wang, Qiang; Hao, Dazhi; Yang, Xiaojing; Gao, David Wenzhong; Zhao, Xiangyang; Zhang, Yingchen

    2018-01-01

    Modern power systems are evolving into sociotechnical systems with massive complexity, whose real-time operation and dispatch go beyond human capability. Thus, the need for developing and applying new intelligent power system dispatch tools are of great practical significance. In this paper, we introduce the overall business model of power system dispatch, the top level design approach of an intelligent dispatch system, and the parallel intelligent technology with its dispatch applications. We expect that a new dispatch paradigm, namely the parallel dispatch, can be established by incorporating various intelligent technologies, especially the parallel intelligent technology, to enable secure operation of complex power grids, extend system operators U+02BC capabilities, suggest optimal dispatch strategies, and to provide decision-making recommendations according to power system operational goals.

  16. Dispatching capacity in manufacturing facility offshoring

    DEFF Research Database (Denmark)

    Madsen, Erik Skov; Knudsen, Mette Præst

    2010-01-01

    This paper investigates how a dispatching capacity of motivation, relational dynamics and structures seen from the sending context influence the entire knowledge transfer process in manufacturing facility offshoring. An inductive and qualitative approach is taken and five main themes are derived...... from the four empirical cases. In the discussion, the five themes i.e. extra tasks, previous experiences, involvement of all groups of employees, teaching skills and organizational support in the dispatching context are linked with a theoretical model leading to the identification of seven testable...

  17. Dynamic optimization in environmental economics

    Energy Technology Data Exchange (ETDEWEB)

    Moser, Elke; Tragler, Gernot; Veliov, Vladimir M. (eds.) [Vienna Univ. of Technology (Austria). Inst. of Mathematical Methods in Economics; Semmler, Willi [The New School for Social Research, New York, NY (United States). Dept. of Economics

    2014-11-01

    This book contains two chapters with the topics: 1. Chapter: INTERACTIONS BETWEEN ECONOMY AND CLIMATE: (a) Climate Change and Technical Progress: Impact of Informational Constraints. (b) Environmental Policy in a Dynamic Model with Heterogeneous Agents and Voting. (c) Optimal Environmental Policy in the Presence of Multiple Equilibria and Reversible Hysteresis. (d). Modeling the Dynamics of the Transition to a Green Economy. (e) One-Parameter GHG Emission Policy With R and D-Based Growth. (f) Pollution, Public Health Care, and Life Expectancy when Inequality Matters. (g) Uncertain Climate Policy and the Green Paradox. (h) Uniqueness Versus Indeterminacy in the Tragedy of the Commons - A ''Geometric'' Approach. 2. Chapter: OPTIMAL EXTRACTION OF RESOURCES: (j) Dynamic Behavior of Oil Importers and Exporters Under Uncertainty. (k) Robust Control of a Spatially Distributed Commercial Fishery. (l) On the Effect of Resource Exploitation on Growth: Domestic Innovation vs. Technological Diffusion Through Trade. (m) Forest Management and Biodiversity in Size-Structured Forests Under Climate Change. (n) Carbon Taxes and Comparison of Trading Regimes in Fossil Fuels. (o) Landowning, Status and Population Growth. (p) Optimal Harvesting of Size-Structured Biological Populations.

  18. Dynamic optimization in environmental economics

    International Nuclear Information System (INIS)

    Moser, Elke; Tragler, Gernot; Veliov, Vladimir M.; Semmler, Willi

    2014-01-01

    This book contains two chapters with the topics: 1. Chapter: INTERACTIONS BETWEEN ECONOMY AND CLIMATE: (a) Climate Change and Technical Progress: Impact of Informational Constraints. (b) Environmental Policy in a Dynamic Model with Heterogeneous Agents and Voting. (c) Optimal Environmental Policy in the Presence of Multiple Equilibria and Reversible Hysteresis. (d). Modeling the Dynamics of the Transition to a Green Economy. (e) One-Parameter GHG Emission Policy With R and D-Based Growth. (f) Pollution, Public Health Care, and Life Expectancy when Inequality Matters. (g) Uncertain Climate Policy and the Green Paradox. (h) Uniqueness Versus Indeterminacy in the Tragedy of the Commons - A ''Geometric'' Approach. 2. Chapter: OPTIMAL EXTRACTION OF RESOURCES: (j) Dynamic Behavior of Oil Importers and Exporters Under Uncertainty. (k) Robust Control of a Spatially Distributed Commercial Fishery. (l) On the Effect of Resource Exploitation on Growth: Domestic Innovation vs. Technological Diffusion Through Trade. (m) Forest Management and Biodiversity in Size-Structured Forests Under Climate Change. (n) Carbon Taxes and Comparison of Trading Regimes in Fossil Fuels. (o) Landowning, Status and Population Growth. (p) Optimal Harvesting of Size-Structured Biological Populations.

  19. Dispatching capacity in manufacturing facility offshoring

    DEFF Research Database (Denmark)

    Madsen, Erik Skov; Knudsen, Mette Præst

    2010-01-01

    This paper investigates how a dispatching capacity of motivation, relational dynamics and structures seen from the sending context influence the entire knowledge transfer process in manufacturing facility offshoring. An inductive and qualitative approach is taken and five main themes are derived...

  20. Concept of dynamic memory in economics

    Science.gov (United States)

    Tarasova, Valentina V.; Tarasov, Vasily E.

    2018-02-01

    In this paper we discuss a concept of dynamic memory and an application of fractional calculus to describe the dynamic memory. The concept of memory is considered from the standpoint of economic models in the framework of continuous time approach based on fractional calculus. We also describe some general restrictions that can be imposed on the structure and properties of dynamic memory. These restrictions include the following three principles: (a) the principle of fading memory; (b) the principle of memory homogeneity on time (the principle of non-aging memory); (c) the principle of memory reversibility (the principle of memory recovery). Examples of different memory functions are suggested by using the fractional calculus. To illustrate an application of the concept of dynamic memory in economics we consider a generalization of the Harrod-Domar model, where the power-law memory is taken into account.

  1. Learning About Learning in Dynamic Economic Models

    NARCIS (Netherlands)

    Kendrick, D.A.; Amman, H.M.; Tucci, M.P.

    This chapter of the Handbook of Computational Economics is mostly about research on active learning and is confined to discussion of learning in dynamic models in which the systems equations are linear, the criterion function is quadratic and the additive noise terms are Gaussian. Though there is

  2. A hydrothermal economic dispatch model for the energy markets using the interior point method; Um modelo de despacho economico hidrotermico para os mercados de energia utilizando o metodo de pontos interiores

    Energy Technology Data Exchange (ETDEWEB)

    Costa, Leandro L.H.; Silva, Alessandro L. da; Vergilio, Andre H.B.; Nepomuceno, Leonardo [Universidade Estadual Paulista (UNESP), Bauru, SP (Brazil). Dept. de Engenharia Eletrica], Emails: leandroluiz@ymail.com, alessandrolopessilva@uol.com.br, andrevergilio@yahoo.com.br, leo@feb.unesp.br; Cicogna, Marcelo Augusto [Anhanguera Educacional S.A. (Brazil)], E-mail: marcelo.cicogna@unianhanguera.edu.br,

    2009-07-01

    This paper aims to propose a model of economic dispatch for the problem representation of the auction in pool markets for systems with generation predominantly hydraulic. In the dispatch models described in the literature, only the agents of thermal generation participate in the auction pool. This is due to the fact that it have not been proposed in the literature yet a suitable model for representation of the cost structure of hydraulic generators. In this work is proposed the function of opportunity cost of hydrogeneration, which establishes a framework of 'cost' of hydraulic generation, based on losses in the process of hydroelectric generation. It is also studied the feasibility that both agents on the hydraulic and thermal generators can bidding in the pool. The approach to solving the problem involves the method of primal-dual logarithmic barrier. The results show that using the function of opportunity cost for hydroelectric plants is important for the system energy optimization as a whole, but its use for the representation of the bids of the hydraulic agents still needs further deepening search.

  3. Gas Dispatching and Management

    International Nuclear Information System (INIS)

    Schoettker, R.; Spiecker, U.

    1995-01-01

    Activities in large dispatch centres are usually divided into volume planning and contract management as well as grid control. Volume planning and contract management require high-performance computers for contractual and technical optimisation models, for contract handling models and communication with partner companies. For grid control, the use of computers for SCADA systems and for grid simulation and optimisation has become a fundamental requirement. In 1992, Ruhrgas replaced the hardware by a modern hardware concept featuring a fault-tolerant process computer for SCADA system interface processing. The work-place computers were substituted by sophisticated workstations integrated into a computer network and an X-Windows user interface based on the MOTIF standard was introduced. Effective cooperation between the dispatch centres of European gas companies is of paramount importance. One example of good cooperation is the contractual and physical handling of North Sea gas supplies at Emden. 4 figs

  4. The political economy of electricity dispatch reform in China

    International Nuclear Information System (INIS)

    Kahrl, Fredrich; Williams, James H.; Hu, Junfeng

    2013-01-01

    The transition to a cleaner and more cost-efficient electricity system in China is political-economic as well as technological. An example is the reform of China's method of dispatching power plants, which potentially affects the economic relationships between consumers and producers, between grid and generating companies, and between central and provincial governments. Historically, coal-fired power plants in China all received roughly the same number of operating hours, regardless of efficiency or cost. In 2007, Chinese government agencies began to pilot “energy efficient dispatch,” which requires that generators be dispatched on the basis of thermal efficiency. Using a case study of Guangxi Zhuang Autonomous Region in southern China, we evaluated potential energy and cost savings from a change to energy efficient dispatch. We found that the savings are at best relatively small, because large, efficient generators already account for a significant share of total generation. Moreover, as an administrative policy that does not change economic incentives, energy efficient dispatch exacerbates imbalances and center-provincial tensions in the current system. We argue that incentive-based dispatch reform is likely to produce better outcomes, and that the keys to this reform are empowering an independent regulator with pricing authority and establishing a formal, transparent ratemaking process. - Highlights: ► Savings from China's energy efficient dispatch (EED) policy are at best relatively small. ► EED exacerbates imbalances and center-provincial tensions in China's current power system. ► Incentive-based dispatch reform is likely to produce better outcomes than EED. ► Keys to reform are independent regulation and a formal, transparent ratemaking process. ► Transition to cleaner, cost-efficient electricity system in China is political-economic as well as technological.

  5. The heterogeneous dynamics of economic complexity.

    Directory of Open Access Journals (Sweden)

    Matthieu Cristelli

    Full Text Available What will be the growth of the Gross Domestic Product (GDP or the competitiveness of China, United States, and Vietnam in the next 3, 5 or 10 years? Despite this kind of questions has a large societal impact and an extreme value for economic policy making, providing a scientific basis for economic predictability is still a very challenging problem. Recent results of a new branch--Economic Complexity--have set the basis for a framework to approach such a challenge and to provide new perspectives to cast economic prediction into the conceptual scheme of forecasting the evolution of a dynamical system as in the case of weather dynamics. We argue that a recently introduced non-monetary metrics for country competitiveness (fitness allows for quantifying the hidden growth potential of countries by the means of the comparison of this measure for intangible assets with monetary figures, such as GDP per capita. This comparison defines the fitness-income plane where we observe that country dynamics presents strongly heterogeneous patterns of evolution. The flow in some zones is found to be laminar while in others a chaotic behavior is instead observed. These two regimes correspond to very different predictability features for the evolution of countries: in the former regime, we find strong predictable pattern while the latter scenario exhibits a very low predictability. In such a framework, regressions, the usual tool used in economics, are no more the appropriate strategy to deal with such a heterogeneous scenario and new concepts, borrowed from dynamical systems theory, are mandatory. We therefore propose a data-driven method--the selective predictability scheme--in which we adopt a strategy similar to the methods of analogues, firstly introduced by Lorenz, to assess future evolution of countries.

  6. The heterogeneous dynamics of economic complexity.

    Science.gov (United States)

    Cristelli, Matthieu; Tacchella, Andrea; Pietronero, Luciano

    2015-01-01

    What will be the growth of the Gross Domestic Product (GDP) or the competitiveness of China, United States, and Vietnam in the next 3, 5 or 10 years? Despite this kind of questions has a large societal impact and an extreme value for economic policy making, providing a scientific basis for economic predictability is still a very challenging problem. Recent results of a new branch--Economic Complexity--have set the basis for a framework to approach such a challenge and to provide new perspectives to cast economic prediction into the conceptual scheme of forecasting the evolution of a dynamical system as in the case of weather dynamics. We argue that a recently introduced non-monetary metrics for country competitiveness (fitness) allows for quantifying the hidden growth potential of countries by the means of the comparison of this measure for intangible assets with monetary figures, such as GDP per capita. This comparison defines the fitness-income plane where we observe that country dynamics presents strongly heterogeneous patterns of evolution. The flow in some zones is found to be laminar while in others a chaotic behavior is instead observed. These two regimes correspond to very different predictability features for the evolution of countries: in the former regime, we find strong predictable pattern while the latter scenario exhibits a very low predictability. In such a framework, regressions, the usual tool used in economics, are no more the appropriate strategy to deal with such a heterogeneous scenario and new concepts, borrowed from dynamical systems theory, are mandatory. We therefore propose a data-driven method--the selective predictability scheme--in which we adopt a strategy similar to the methods of analogues, firstly introduced by Lorenz, to assess future evolution of countries.

  7. Dynamic motifs in socio-economic networks

    Science.gov (United States)

    Zhang, Xin; Shao, Shuai; Stanley, H. Eugene; Havlin, Shlomo

    2014-12-01

    Socio-economic networks are of central importance in economic life. We develop a method of identifying and studying motifs in socio-economic networks by focusing on “dynamic motifs,” i.e., evolutionary connection patterns that, because of “node acquaintances” in the network, occur much more frequently than random patterns. We examine two evolving bi-partite networks: i) the world-wide commercial ship chartering market and ii) the ship build-to-order market. We find similar dynamic motifs in both bipartite networks, even though they describe different economic activities. We also find that “influence” and “persistence” are strong factors in the interaction behavior of organizations. When two companies are doing business with the same customer, it is highly probable that another customer who currently only has business relationship with one of these two companies, will become customer of the second in the future. This is the effect of influence. Persistence means that companies with close business ties to customers tend to maintain their relationships over a long period of time.

  8. Hybrid robust predictive optimization method of power system dispatch

    Science.gov (United States)

    Chandra, Ramu Sharat [Niskayuna, NY; Liu, Yan [Ballston Lake, NY; Bose, Sumit [Niskayuna, NY; de Bedout, Juan Manuel [West Glenville, NY

    2011-08-02

    A method of power system dispatch control solves power system dispatch problems by integrating a larger variety of generation, load and storage assets, including without limitation, combined heat and power (CHP) units, renewable generation with forecasting, controllable loads, electric, thermal and water energy storage. The method employs a predictive algorithm to dynamically schedule different assets in order to achieve global optimization and maintain the system normal operation.

  9. Evolution of China's power dispatch principle and the new energy saving power dispatch policy

    International Nuclear Information System (INIS)

    Ciwei, Gao; Yang, Li

    2010-01-01

    With social economic reform in the past decades, the power industry of China is gradually evolving from a highly integrated one toward an electricity market, which can be characterized based on the transition of the power dispatch principle. To attract investment in the power generating industry, China introduced non-state-owned power plants to the original system of a highly vertically integrated power industry with annual power generation quota guarantees, which makes the traditional economic dispatch principle not applicable. The newly debuted energy saving power dispatch (ESPD) is an attempt to fully exploit the maximum energy savings and was implemented by an administrative code. Starting in August 2007, the pilot operation of the ESPD was implemented in five provinces, but after two years, it is still not widely applied all over the country. This paper details the transition of China's power dispatch principle with particular attention to its origin and content. Moreover, the factors that influence the ESPD's actual energy saving effect are discussed, as well as the sustainability of the policy. (author)

  10. Analyzing the Effect of Multi-fuel and Practical Constraints on Realistic Economic Load Dispatch using Novel Two-stage PSO

    Science.gov (United States)

    Chintalapudi, V. S.; Sirigiri, Sivanagaraju

    2017-04-01

    In power system restructuring, pricing the electrical power plays a vital role in cost allocation between suppliers and consumers. In optimal power dispatch problem, not only the cost of active power generation but also the costs of reactive power generated by the generators should be considered to increase the effectiveness of the problem. As the characteristics of reactive power cost curve are similar to that of active power cost curve, a nonconvex reactive power cost function is formulated. In this paper, a more realistic multi-fuel total cost objective is formulated by considering active and reactive power costs of generators. The formulated cost function is optimized by satisfying equality, in-equality and practical constraints using the proposed uniform distributed two-stage particle swarm optimization. The proposed algorithm is a combination of uniform distribution of control variables (to start the iterative process with good initial value) and two-stage initialization processes (to obtain best final value in less number of iterations) can enhance the effectiveness of convergence characteristics. Obtained results for the considered standard test functions and electrical systems indicate the effectiveness of the proposed algorithm and can obtain efficient solution when compared to existing methods. Hence, the proposed method is a promising method and can be easily applied to optimize the power system objectives.

  11. Complex Dynamics in Nonequilibrium Economics and Chemistry

    Science.gov (United States)

    Wen, Kehong

    Complex dynamics provides a new approach in dealing with economic complexity. We study interactively the empirical and theoretical aspects of business cycles. The way of exploring complexity is similar to that in the study of an oscillatory chemical system (BZ system)--a model for modeling complex behavior. We contribute in simulating qualitatively the complex periodic patterns observed from the controlled BZ experiments to narrow the gap between modeling and experiment. The gap between theory and reality is much wider in economics, which involves studies of human expectations and decisions, the essential difference from natural sciences. Our empirical and theoretical studies make substantial progress in closing this gap. With the help from the new development in nonequilibrium physics, i.e., the complex spectral theory, we advance our technique in detecting characteristic time scales from empirical economic data. We obtain correlation resonances, which give oscillating modes with decays for correlation decomposition, from different time series including S&P 500, M2, crude oil spot prices, and GNP. The time scales found are strikingly compatible with business experiences and other studies in business cycles. They reveal the non-Markovian nature of coherent markets. The resonances enhance the evidence of economic chaos obtained by using other tests. The evolving multi-humped distributions produced by the moving-time -window technique reveal the nonequilibrium nature of economic behavior. They reproduce the American economic history of booms and busts. The studies seem to provide a way out of the debate on chaos versus noise and unify the cyclical and stochastic approaches in explaining business fluctuations. Based on these findings and new expectation formulation, we construct a business cycle model which gives qualitatively compatible patterns to those found empirically. The soft-bouncing oscillator model provides a better alternative than the harmonic oscillator

  12. On optimum dispatch of electric power generation via numerical ...

    African Journals Online (AJOL)

    In this work we develop an optimum dispatch / generating strategy by presenting economically the best load flow configuration in supplying load demand among the generators. The main aim is to minimize the total production / generation costs, with minimum losses and at the same time satisfy the load flow equation without ...

  13. Dynamic analysis of savings and economic growth in Nigeria ...

    African Journals Online (AJOL)

    Dynamic analysis of savings and economic growth in Nigeria. ... Journal of Agriculture and Social Research (JASR) ... Relevant literature having been reviewed, a trivariate dynamic Granger causality model with savings, economic growth and foreign capital inflows was adopted as against the weak bivariate Granger ...

  14. ACTUALIZATION OF METHODIC OF CALCULATION OF ACTUAL INDICATOR OF CIVIL AIRCRAFT DISPATCH RELIABILITY

    Directory of Open Access Journals (Sweden)

    A. R. Aleksanyan

    2017-01-01

    Full Text Available Dispatch reliability – is one of the key criteria of aircraft technical operation process efficiency which reflects economic efficiency of airline activity. The higher the operational reliability, the better the level of aircraft operation in airline, the higher maintenance quality and safety policy is more effective. Due to the lack of unified procedure of dispatch reliability control both for aircraft manufacturers and Russian Federation aircraft operators and based on international experience it was concluded that there is a need for dispatch reliability specification by introducing a number of parameters, definitions and development, thereby the unified updated methodic of calculation. In this work six basic and three auxiliary parameters are introduced, the following terms and definitions are established: dispatch reliability, operational reliability, ground operational interruptions, operational interruptions, in-flight  interruptions. A unified actualized methodic of dispatch reliability and operational reliability calculation is developed, which is reasonable and more accurate. Since the aircraft dispatch reliability includes the notion of Regularity and Punctuality, definitions and criteria calculation are given.  The detailed example of criteria calculation is shown: dispatch reliability, dispatch regularity, flight punctuality, operational reliability, flight delays for a hundred landings, aircraft changes for a hundred landings, flight cancellations for a hundred landings.

  15. Sensitivity and stability in dynamical economic systems

    Czech Academy of Sciences Publication Activity Database

    Sladký, Karel; Kodera, Jan; Vošvrda, Miloslav

    1999-01-01

    Roč. 6, č. 9 (1999), s. 1-10 ISSN 1212-074X R&D Projects: GA ČR GA402/96/0420; GA ČR GA402/96/1440 Grant - others:GA AV(CZ) IAA2075802 Program:IA Institutional research plan: AV0Z1075907 Subject RIV: AH - Economics

  16. Export Prices, Trade Dynamics and Economic Development

    NARCIS (Netherlands)

    G.H. van Heuvelen (Harro)

    2016-01-01

    markdownabstractThis thesis focuses on international trade and the economic development of the Philippines. The Philippines is a country that is often said to be stuck in the Middle-Income Trap. Indicating that the Philippines has been unable to move up to the highest income group. The

  17. Complex economic dynamics: Chaotic saddle, crisis and intermittency

    International Nuclear Information System (INIS)

    Chian, Abraham C.-L.; Rempel, Erico L.; Rogers, Colin

    2006-01-01

    Complex economic dynamics is studied by a forced oscillator model of business cycles. The technique of numerical modeling is applied to characterize the fundamental properties of complex economic systems which exhibit multiscale and multistability behaviors, as well as coexistence of order and chaos. In particular, we focus on the dynamics and structure of unstable periodic orbits and chaotic saddles within a periodic window of the bifurcation diagram, at the onset of a saddle-node bifurcation and of an attractor merging crisis, and in the chaotic regions associated with type-I intermittency and crisis-induced intermittency, in non-linear economic cycles. Inside a periodic window, chaotic saddles are responsible for the transient motion preceding convergence to a periodic or a chaotic attractor. The links between chaotic saddles, crisis and intermittency in complex economic dynamics are discussed. We show that a chaotic attractor is composed of chaotic saddles and unstable periodic orbits located in the gap regions of chaotic saddles. Non-linear modeling of economic chaotic saddle, crisis and intermittency can improve our understanding of the dynamics of financial intermittency observed in stock market and foreign exchange market. Characterization of the complex dynamics of economic systems is a powerful tool for pattern recognition and forecasting of business and financial cycles, as well as for optimization of management strategy and decision technology

  18. RELATIVE COMPETITIVE ECONOMIC ADVANTAGE IN TRADE DYNAMICS

    Directory of Open Access Journals (Sweden)

    Amalendu GUHA BIKA

    2005-06-01

    Full Text Available In the era and process of free trade globalisation the classical and neo-classical theories of comparative and competitive advantages have become short-termed because of new actors and devices in the modern techno-economic advancement. Hence, a new approach seems necessary, respectively the one of relative advantages that are related to economies of scale and marketability, as today, the macroeconomic concept is the concept of Multinational or Transnational, and no longer a national one. At the same time, the micro-concept may be used as concept of an entire international economic sector or branch. Due to these new developments the relative advantages approach focuses more on cost-reduction functions of commodities and services and it plays an important role in both theoretical and practical investigation. The examples presented in the paper are built on three competing Asian countries: China, South Korea and post-emerged Japan.

  19. Reproduction of Economic Interests as a Nonlinear Dynamical System

    OpenAIRE

    Smiesova Viktoria L.

    2017-01-01

    The aim of the article is to define the system characteristics of reproduction of economic interests of actors, substantiate the possibility of its evolutionary and revolutionary development and the nonlinearity of its development in dynamics. The article justifies the main characteristics of the system of reproduction of economic interests. It is proved that in this system stability and variability are complementarily combined as integrated mechanisms of its development in statics and dynami...

  20. Reproduction of Economic Interests as a Nonlinear Dynamical System

    Directory of Open Access Journals (Sweden)

    Smiesova Viktoria L.

    2017-12-01

    Full Text Available The aim of the article is to define the system characteristics of reproduction of economic interests of actors, substantiate the possibility of its evolutionary and revolutionary development and the nonlinearity of its development in dynamics. The article justifies the main characteristics of the system of reproduction of economic interests. It is proved that in this system stability and variability are complementarily combined as integrated mechanisms of its development in statics and dynamics, assurance of its self-organization and self-restoration, quantitative and qualitative transformation. In its static state, there prevail characteristics of steadiness and leaning towards stability and constancy. In the dynamic state, the main characteristic is variability of the system of reproduction of economic interests, which determines / reacts to the processes of transformation and development of its constituent subsystems, potential opportunities, preferences and economic behavior of actors (changes in the endogenous environment, institutions and establishments, constraints and stabilizers (changes in the exogenous environment. The model of dynamic development of the system for reproduction of economic interests is proposed, the phases of its evolutionary and revolutionary development are substantiated.

  1. Solving Multi-Pollutant Emission Dispatch Problem Using Computational Intelligence Technique

    Directory of Open Access Journals (Sweden)

    Nur Azzammudin Rahmat

    2016-06-01

    Full Text Available Economic dispatch is a crucial process conducted by the utilities to correctly determine the satisfying amount of power to be generated and distributed to the consumers. During the process, the utilities also consider pollutant emission as the consequences of fossil-fuel consumption. Fossil-fuel includes petroleum, coal, and natural gas; each has its unique chemical composition of pollutants i.e. sulphur oxides (SOX, nitrogen oxides (NOX and carbon oxides (COX. This paper presents multi-pollutant emission dispatch problem using computational intelligence technique. In this study, a novel emission dispatch technique is formulated to determine the amount of the pollutant level. It utilizes a pre-developed optimization technique termed as differential evolution immunized ant colony optimization (DEIANT for the emission dispatch problem. The optimization results indicated high level of COX level, regardless of any type of fossil fuel consumed.

  2. New Approach to Techno-economic Assessment of Power Plants with Carbon Capture and Storage : The Inclusion of Realistic Dispatch Profiles To Calculate Techno-economics of Part Load Operations

    NARCIS (Netherlands)

    van der Spek, M.W.; Manzolini, Giampaolo; Ramirez, C.A.

    2017-01-01

    Techno-economic assessment of fossil-fueled power plants with (and/or without) carbon capture and storage (CCS) is generally carried out at full load conditions assuming a capacity factor of typically around 85%1−3 or even 100%.4 This approach allows for straightforward assessment and easy

  3. SCADA AND SECURITY DISPATCHES ACCORDING TO PRESENT LEGISLATION IN ROMANIA

    Directory of Open Access Journals (Sweden)

    Cristian Silviu BANACU

    2014-11-01

    Full Text Available SCADA is an old term, older than twenty years, used for defining systems that acquires data from industrial networks and / or critical infrastructure networks and process them for operational and security purposes. Its importance is growing simultaneously with the development of technology’s interference in our lives (social life, economical life, etc.. Although they are not defined as SCADA systems, Security dispatches (and their structure have a lot of similarities with the general architecture of SCADA systems. Taking into consideration the security dispatches, as they are accepted by the actual Romanian law, we will draw a parallel between them and SCADA architecture, identifying the similarities and the differences between them, and also the points where some changes could be made.

  4. Punctuated equilibrium and power law in economic dynamics

    Science.gov (United States)

    Gupta, Abhijit Kar

    2012-02-01

    This work is primarily based on a recently proposed toy model by Thurner et al. (2010) [3] on Schumpeterian economic dynamics (inspired by the idea of economist Joseph Schumpeter [9]). Interestingly, punctuated equilibrium has been shown to emerge from the dynamics. The punctuated equilibrium and Power law are known to be associated with similar kinds of biologically relevant evolutionary models proposed in the past. The occurrence of the Power law is a signature of Self-Organised Criticality (SOC). In our view, power laws can be obtained by controlling the dynamics through incorporating the idea of feedback into the algorithm in some way. The so-called 'feedback' was achieved by introducing the idea of fitness and selection processes in the biological evolutionary models. Therefore, we examine the possible emergence of a power law by invoking the concepts of 'fitness' and 'selection' in the present model of economic evolution.

  5. Meeting blindly… Is Austrian economics useful for dynamic capabilities theory?

    Directory of Open Access Journals (Sweden)

    Andrey Shastitko

    2016-03-01

    Full Text Available This paper relates competition studies and views on competition policy within Austrian economics to the dynamic capabilities theory. The idea of interacting research programs in economics is used to provide the frame for reflecting on particular issues of competition, on the one hand, and (1 ignorance, (2 knowledge (including tacit knowledge, (3 rationality, (4 equilibrium, (5 innovation, (6 entrepreneurship, and (7 monopoly, on the other hand. Unlike the majority of previous studies, these issues are discussed here mainly through the lens of new institutional economics. Williamson's three-level scheme is used to explain opportunities and constraints for mutually enriching exchange of concepts between different but close approaches in economic research. This paper shows that there are important interconnections and complementarities despite significant differences in objects of study and weak mutual flows of ideas and concepts.

  6. ESCAPE DYNAMICS AS A WAY TO DESCRIBE ECONOMIC PHENOMENA

    Directory of Open Access Journals (Sweden)

    Bogomolova A. S.

    2017-06-01

    Full Text Available This paper presents the review of issues and approaches to the analysis of escape dynamics in economic models with constant gain adaptive learning which is used to model and describe the behavior of various (macroeconomic as well as microeconomic variables in diverse economic phenomena such as currency crises, inflation episodes, endogenous collusion in oligopoly, and cycles of economic activity. This review considers and contrasts two currently existing approaches to the analysis of escape dynamics: the discrete-time approach employed, for example, by Cho, Williams and Sargent (2002, and the continuous-time approach proposed by Kasa (2004 and extended recently by Kolyuzhnov, Bogomolova and Slobodyan (2014, stressing the advantages of the latter. The continuous-time approach is based on the application of the results of the continuous-time version of the large deviations theory to the diffusion approximation of the original discrete-time dynamics under learning. Escape dynamics is characterized by analytically deriving the most probable escape point and mean escape time. The paper provides an example of the continuous-time approach applied to the Phelps problem of a government controlling inflation while adaptively learning the approximate Phillips curve.

  7. Information money fields of cyclic oscillations in nonlinear dynamic economic system

    OpenAIRE

    Ledenyov, Dimitri O.; Ledenyov, Viktor O.

    2015-01-01

    Article introduces the notion of information money fields of the cyclic oscillations of the economic variables in the nonlinear dynamic economic system for the first time, and presents an original research on the Ledenyov theory on the information money fields of the cyclic oscillations of the economic variables in the nonlinear dynamic economic system. The Ledenyov theory on the information money fields of the cyclic oscillations of economic variables in the nonlinear dynamic economic system...

  8. Economic dynamics of exporting countries and restructuring their oil industries

    International Nuclear Information System (INIS)

    De La Vega Navarro, A.

    1994-01-01

    The author analyses the re-organization of oil industries in exporting countries. The approach takes internal and external dynamics of these countries' economic crisis into account. It finally makes proposals with a view to a different consistency for the economic development of these countries. This could include a change from pure ''exporting countries'' to ''countries that (among other activities) export oil'' and which will not be conditioned by the incertitude of the international oil market. This in turn means that public oil companies will have to replace thinking in terms of oil rents and assume their industrial and productive role on both national and international levels. (Author). 21 refs., 1 tab

  9. Control of chaotic dynamics in an OLG economic model

    International Nuclear Information System (INIS)

    Mendes, Diana A; Mendes, Vivaldo

    2005-01-01

    This paper deals with the control of chaotic economic motion. We show that very complicated dynamics arising, e.g., from an overlapping generations model (OLG) with production and an endogenous intertemporal decision between labour and leisure, which produces chaos, can in fact be controlled with relative simplicity. The aperiodic and very complicated motion that stems from this model can be subject to control by small perturbations in its parameters and turned into a stable steady state or into a regular cycle. Therefore, the system can be controlled without changing of its original properties. To perform the control of the totally unstable equilibrium (both eigenvalues with modulus greater than unity) in this economic model we apply the pole-placement technique, developed by Romeiras, Grebogi, Ott and Dayawansa (1992). The application of control methods to chaotic economic dynamics may raise serious reservations, at least on mathematical and logical grounds, to some recent views on economics which have argued that economic policy becomes useless in the presence of chaotic motion (and thus, that the performance of the economic system cannot be improved by public intervention, i.e., that the amplitude of cycles can not be controlled or reduced). In fact, the fine tuning of the system (that is, the control) can be performed without having to rely only on infinitesimal accuracy in the perturbation to the system, because the control can be performed with larger or smaller perturbations, but neither too large (because these would lead to a different fixed point of the system, therefore modifying its original nature), nor too small because the control becomes too inefficient

  10. Anxiety genetics: Dispatches from the frontier.

    Science.gov (United States)

    Smoller, Jordan W

    2017-03-01

    Anxiety disorders are the most common class of psychiatric disorders and incur an enormous burden in terms of economic costs, disability and personal suffering. Despite their public health importance and documented heritability, genetic research aimed at identifying the genetic contributions to these disorders has had limited success, particularly in comparison to recent advances in the genetics of other major psychiatric disorders. The major factor contributing to this lagging progress has been a dearth of well-powered genomic studies. As a result, the genetic basis of anxiety disorders remains a largely uncharted frontier. In this Special Issue, we bring together dispatches from this frontier, reflecting a range of strategies being pursued including genomewide common variant association studies, exome sequencing, genetic prediction of treatment response, cross-disorder genetic epidemiology, and the prospects for dissecting underlying anxiety domains using the RDoC framework. Overall, these efforts underscore the genetic and phenotypic complexity of pathologic anxiety and the urgent need for more powerful and comprehensive analyses if we are to make real progress in advancing this important frontier. © 2017 Wiley Periodicals, Inc. © 2017 Wiley Periodicals, Inc.

  11. Wind power generation, load management and dispatch

    International Nuclear Information System (INIS)

    Canazza, V.; Cirillo, M.

    2007-01-01

    The renewed commitment of the United States and European Union for the promotion of renewable energy sources makes some reflections on the appropriate management of dispatch priority of renewable energy in Italy [it

  12. DYNAMIC ECONOMIC EFFICIENCY IN THE SOUTH-WEST OLTENIA REGION

    Directory of Open Access Journals (Sweden)

    Laura Mariana Cismaş

    2012-03-01

    Full Text Available The structure of an economy is not and has never been permanent, it does not have a static character, but only a moment of stability of a system whose internal organization is, is therefore a dynamic process. In this sense, the ultimate goal of the analysis of structural changes is to highlight the phenomenon of economic efficiency in the complex process of economic growth during the cross in our country since 1990.Lisbon agenda have targeted the European Union to become the most competitive region until 2010.Ulterior this target strategy was complemented by growth and job creation, becoming the main way of creating a European competitiveness . In this context, public policy challenges identified in the national economies have become energy market liberalization, efficiency and diversification, regulation of the economic environment, innovation and technology transfer policies that contribute to a strategy of market leadership.Besides gross value added, labor productivity is also the medium of efficient use of labor.Growth achieved both national and regional level, may be related, in terms of human resource, or increase the number of employees, or a better use of existing employees work. That aecest aspect of a better use of existing staff employee makes labor productivity is a key element in the expression efficiency of economic performance. Understanding the forces governing labor productivity, and especially the accumulation of fixed capital, improving the institutional infrastructure to generate new technologies, is objectively necessary for the formulation of policies for economic growth.

  13. Computer-aided dispatching system design specification

    Energy Technology Data Exchange (ETDEWEB)

    Briggs, M.G.

    1997-12-16

    This document defines the performance requirements for a graphic display dispatching system to support Hanford Patrol Operations Center. This document reflects the as-built requirements for the system that was delivered by GTE Northwest, Inc. This system provided a commercial off-the-shelf computer-aided dispatching system and alarm monitoring system currently in operations at the Hanford Patrol Operations Center, Building 2721E. This system also provides alarm back-up capability for the Plutonium Finishing Plant (PFP).

  14. Computer-aided dispatching system design specification

    International Nuclear Information System (INIS)

    Briggs, M.G.

    1997-01-01

    This document defines the performance requirements for a graphic display dispatching system to support Hanford Patrol Operations Center. This document reflects the as-built requirements for the system that was delivered by GTE Northwest, Inc. This system provided a commercial off-the-shelf computer-aided dispatching system and alarm monitoring system currently in operations at the Hanford Patrol Operations Center, Building 2721E. This system also provides alarm back-up capability for the Plutonium Finishing Plant (PFP)

  15. Computer-Aided dispatching system design specification

    International Nuclear Information System (INIS)

    Briggs, M.G.

    1996-01-01

    This document defines the performance requirements for a graphic display dispatching system to support Hanford Patrol emergency response. This system is defined as a Commercial-Off the-Shelf computer dispatching system providing both text and graphical display information while interfacing with the diverse reporting system within the Hanford Facility. This system also provided expansion capabilities to integrate Hanford Fire and the Occurrence Notification Center and provides back-up capabilities for the Plutonium Processing Facility

  16. Strategic vector of economic dynamics of an industrial region

    Directory of Open Access Journals (Sweden)

    Olga Aleksandrovna Romanova

    2014-03-01

    Full Text Available In the article, the different directions of Russia’s vector of economic growth for the period from 1991 until 2013 is noted, and factors determining its changing across time are revealed. The periodization of change of the vector of economic growth of the largest industrial region of the country — Ural (according to the all-Russian analogy is emphasized. It is proved that the positive vector dynamics its development are defined by the possibility of carrying out new industrialization. The concept of new industrialization is offered the functional and catalytic type of its realization is allocated. «A regional institutional contour of new industrialization,» a new concept is introduced. System resources of its realization possible on the basis of innovative components are defined. Mechanisms of carrying out new industrialization are analyzed, and industrial policy as the most important of them is allocated. Taking into account the role change of the state importance increase of business structures, the strategic partnership of the state and business as the mechanism of industrial policy giving the stable and positive direction to the strategic vector of economic dynamics of the industrial region is proved

  17. Economic Uncertainty and Family Dynamics in Europe:: Introduction

    Directory of Open Access Journals (Sweden)

    Michaela Kreyenfeld

    2012-12-01

    Full Text Available BACKGROUND Economic uncertainty has become an increasingly important factor in explanations of declining fertility and postponed family formation across Europe. Yet the micro-level evidence on this topic is still limited. OBJECTIVE This special collection of Demographic Research focuses on the issue of how economic and employment uncertainties relate to fertility and family dynamics in Europe. METHODS The collection is comprised of studies that explore how various dimensions of employment uncertainty, such as temporary working contracts and individual and aggregate unemployment, are related to the fertility and family formation of women and men across Europe. The studies cover Germany, the UK, France, Russia, Estonia, Sweden, Italy, Spain, and Israel. RESULTS The various micro-level studies that are assembled in this special collection do not provide a simple answer to the question of whether and how economic uncertainty suppresses (or stimulates fertility. However, some systematic variation by welfare state regime is discernable. CONCLUSIONS Given the recent economic volatility in Europe, we expect that labor market uncertainties will remain an important component of explanations of fertility developments in the 21st century.

  18. The Impact of Public Spending on Regional Economic Dynamics

    Directory of Open Access Journals (Sweden)

    Henry Antonio Mendoza Tolosa

    2014-01-01

    Full Text Available The impact that public spending and investment have upon economic growth in the departments of Colombia is examined using the results of national accounts for the years 2000-2011. Figures for departmental production by activity, along with change over the period and information for the gross public capital are brought together to create a statistical model to assess effects. A data panel model is chosen to relate the existing differences between departments and compare the impact of spending and investment between departments using the available information. Results indicate that public spending and investment play an important role in departmental economic dynamic and that its effect is greater in larger and wealthier departments.

  19. The Dynamic Effects of Entrepreneurship on Regional Economic Growth

    DEFF Research Database (Denmark)

    Matejovsky, Lukas; Mohapatra, Sandeep; Steiner, Bodo

    2014-01-01

    This study explores the temporal pattern of income disparity for Canadian provinces in two estimation steps. First, an econometric growth regression model is applied to identify the impact of entrepreneurship on regional economic growth. The estimation results suggest that entrepreneurship......, measured in terms of the selfemployment rate, plays a pivotal role in determining regional development in Canada. Second, a dynamic vector autoregression (VAR) model is employed to predict the long-run regional growth effects that result from policy shocks affecting entrepreneurship. Compared to other...... growth drivers, entrepreneurship is found to have more pronounced and long-term stimulative effects on regional development for the period of 1987 to 2007...

  20. Joint energy and reserve dispatch in a multi-area competitive market ...

    African Journals Online (AJOL)

    user

    Keywords: Joint energy and reserve dispatch (JERD), Multi-area competitive electricity market, Reserve cost, Energy cost, Total market cost, Time-varying Differential ... In the competitive electricity market, one of the major concerns of the system operator is to achieve the economic efficiency while maintaining the system ...

  1. Coordinated Active Power Dispatch for a Microgrid via Distributed Lambda Iteration

    DEFF Research Database (Denmark)

    Hu, Jianqiang; Z. Q. Chen, Michael; Cao, Jinde

    2017-01-01

    A novel distributed optimal dispatch algorithm is proposed for coordinating the operation of multiple micro units in a microgrid, which has incorporated the distributed consensus algorithm in multi-agent systems and the -iteration optimization algorithm in economic dispatch of power systems...... problem. On the other hand, the proposed optimization algorithm can either be used for off-line calculation or be utilized for on-line operation and has the ability to survive single-point failures and shows good robustness in the iteration process. Numerical studies in a seven bus microgrid demonstrate...

  2. Studies investigating economic, agricultural-economic and demographic factors influencing land use dynamics

    International Nuclear Information System (INIS)

    Mora, R.; San Juan, C.

    2009-01-01

    In this paper, we review studies investigating economic, agricultural-economic and demographic factors influencing land use dynamics, making special emphasis on the policy framework in the European Union. We find several conclusions, among which the following should be emphasized. First, this review highlights the existence of different methodologies to build up models to identify the effects of policy reforms affecting land use and desertification. Second, use of micro data to set up an econometric-process simulation model of land use has already been used with success. Third, in the geographical distribution of land use, prices drive all short and long-rung processes. Finally, logistic models have recently been used to study micro decisions at the agricultural sector to identify relative rents and land characteristics such as location and soil fertility as main determinants of land use patters. (Author) 8 refs.

  3. Short-term spatio-temporal wind power forecast in robust look-ahead power system dispatch

    KAUST Repository

    Xie, Le

    2014-01-01

    We propose a novel statistical wind power forecast framework, which leverages the spatio-temporal correlation in wind speed and direction data among geographically dispersed wind farms. Critical assessment of the performance of spatio-temporal wind power forecast is performed using realistic wind farm data from West Texas. It is shown that spatio-temporal wind forecast models are numerically efficient approaches to improving forecast quality. By reducing uncertainties in near-term wind power forecasts, the overall cost benefits on system dispatch can be quantified. We integrate the improved forecast with an advanced robust look-ahead dispatch framework. This integrated forecast and economic dispatch framework is tested in a modified IEEE RTS 24-bus system. Numerical simulation suggests that the overall generation cost can be reduced by up to 6% using a robust look-ahead dispatch coupled with spatio-temporal wind forecast as compared with persistent wind forecast models. © 2013 IEEE.

  4. Using the Direct Search Method for Optimal Dispatch of Distributed Generation in a Medium-Voltage Microgrid

    Directory of Open Access Journals (Sweden)

    Wei-Tzer Huang

    2014-12-01

    Full Text Available This paper proposes a simple and efficient approach for the optimal dispatch in a medium-voltage microgrid (MG with various types of distributed generation (DG. The fuel costs generated by these DGs are determined using quadratic and linear functions dependent on the types of DGs. Instead of using the traditional Lagrange multiplier method for power system economic dispatch, the proposed direct search method (DSM approach is able to handle several inequality constraints without introducing any multipliers and furthermore it can solve the non-derivative problems or the fuel cost functions being much more complicated. Accordingly, the DSM is proposed for determining the optimal dispatch of MGs with various types of DG to minimize generation costs under grid-tied and autonomous operations. Results demonstrate that the proposed DSM is a highly suitable and simple approach to determining the optimal dispatch in medium-voltage MGs with various types of DG.

  5. Health and innovation: economic dynamics and Welfare State in Brazil

    Directory of Open Access Journals (Sweden)

    Carlos Augusto Grabois Gadelha

    Full Text Available Abstract: The effective enforcement of the access to healthcare as fundamental right requires an important theoretical and political effort at linking the often contradictory economic and social dimensions of development. This study suggests the need for a systemic view of policies related to the industrial base and innovation in health and the construction of the Brazilian Unified National Health System (SUS. The authors investigate the relations between health, innovation, and development, seeking to show and update the political, economic, and social determinants of the recent Brazilian experience with the Health Economic-Industrial Complex (HEIC. They discuss how the agenda for innovation and domestic industrial production in health gained a central place in the project for construction of the SUS. The article thus seeks to link inherent issues from the agenda for development, production, and innovation to social policy in healthcare, as observed in recent years, and based on this analysis, points to political and conceptual challenges for implementing the SUS, especially as regards strengthening its technological and industrial base. As a byproduct, the article develops an analytical and factual focus on the consolidation of the HEIC in Brazil, both as a dynamic vector of industrial development, generating investment, income, employment, and innovations, and as a decisive element for reducing vulnerability and structural dependence in health. The authors aim to show that strengthening the SUS and orienting it to social needs is an essential part of building a social Welfare State in Brazil.

  6. Burning peat in Ireland: An electricity market dispatch perspective

    International Nuclear Information System (INIS)

    Tuohy, Aidan; Bazilian, Morgan; Doherty, Ronan; Gallachoir, Brian O; O'Malley, Mark

    2009-01-01

    This paper examines peat power production in Ireland under the three pillars of energy policy-security, competitiveness and environment. Peat contributes to energy security-as an indigenous fuel, it reduces dependency on imports. During a period of low capacity margins, the operation of the peat plants is useful from a system security perspective. Peat generation is being financially supported by consumers through an electricity levy. The fuel also has high carbon intensity. It is not politically viable to consider peat on equal economic criteria to other plant types because of history and location. This paper reviews electricity generation through combustion of peat in Ireland, and quantifies the costs of supporting peat utilising economic dispatch tools, finding the subsidy is not insignificant from a cost or carbon perspective. It shows that while peat is beneficial for one pillar of energy policy (security), the current usage of peat is not optimal from a competitiveness or environmental perspective. By switching from the current 'must-run' mode of operation for peat to the 'dispatched' mode used for the other generation, significant societal savings (in the range Euro 21 m per annum) can be achieved, as well as reducing system emissions by approximately 5% per year.

  7. A markov decision process model for the optimal dispatch of military medical evacuation assets.

    Science.gov (United States)

    Keneally, Sean K; Robbins, Matthew J; Lunday, Brian J

    2016-06-01

    We develop a Markov decision process (MDP) model to examine aerial military medical evacuation (MEDEVAC) dispatch policies in a combat environment. The problem of deciding which aeromedical asset to dispatch to each service request is complicated by the threat conditions at the service locations and the priority class of each casualty event. We assume requests for MEDEVAC support arrive sequentially, with the location and the priority of each casualty known upon initiation of the request. The United States military uses a 9-line MEDEVAC request system to classify casualties as being one of three priority levels: urgent, priority, and routine. Multiple casualties can be present at a single casualty event, with the highest priority casualty determining the priority level for the casualty event. Moreover, an armed escort may be required depending on the threat level indicated by the 9-line MEDEVAC request. The proposed MDP model indicates how to optimally dispatch MEDEVAC helicopters to casualty events in order to maximize steady-state system utility. The utility gained from servicing a specific request depends on the number of casualties, the priority class for each of the casualties, and the locations of both the servicing ambulatory helicopter and casualty event. Instances of the dispatching problem are solved using a relative value iteration dynamic programming algorithm. Computational examples are used to investigate optimal dispatch policies under different threat situations and armed escort delays; the examples are based on combat scenarios in which United States Army MEDEVAC units support ground operations in Afghanistan.

  8. Decision Support for the Rolling Stock Dispatcher

    DEFF Research Database (Denmark)

    Groth, Julie Jespersen

    Real-time recovery is receiving a fast growing interest in an increasingly competitive railway operation market. This thesis considers the area of rolling stock dispatching which is one of the typical real-time railway dispatching problems. All work of the thesis is based on the network...... and planning processes of the railway operator DSB S-tog a/s. In the thesis the problems existing in the railway planning process from the strategic to real-time level are briefly sketched. Network planning, line planning, timetabling, crew and rolling stock planning is outlined and relevant references...... are given. Specifically the thesis references the operation research studies based on the railway operation of DSB S-tog a/s. Subsequently the process of dispatching is outlined with a specific emphasis on rolling stock. The rolling stock recovery problem is the problem of assigning train units to train...

  9. Exploration of dispatch model integrating wind generators and electric vehicles

    International Nuclear Information System (INIS)

    Haque, A.N.M.M.; Ibn Saif, A.U.N.; Nguyen, P.H.; Torbaghan, S.S.

    2016-01-01

    Highlights: • A novel business model for the BRPs is analyzed. • Imbalance cost of wind generation is considered in the UC-ED model. • Smart charging of EVs is included into the UC-ED problem to mitigate the imbalance cost. • Effects of smart charging on generation cost, CO 2 emissions and total network load are assessed. - Abstract: In recent years, the share of renewable energy sources (RES) in the electricity generation mix has been expanding rapidly. However, limited predictability of the RES poses challenges for traditional scheduling and dispatching mechanisms based on unit commitment (UC) and economic dispatch (ED). This paper presents an advanced UC-ED model to incorporate wind generators as RES-based units alongside conventional centralized generators. In the proposed UC-ED model, an imbalance cost is introduced reflecting the wind generation uncertainty along with the marginal generation cost. The proposed UC-ED model aims to utilize the flexibility of fleets of plug-in electric vehicles (PEVs) to optimally compensate for the wind generation uncertainty. A case study with 15 conventional units and 3 wind farms along with a fixed-sized PEV fleet demonstrates that shifting of PEV fleets charging at times of high wind availability realizes generation cost savings. Nevertheless, the operational cost saving incurred by controlled charging appears to diminish when dispatched wind energy becomes considerably larger than the charging energy of PEV fleets. Further analysis of the results reveals that the effectiveness of PEV control strategy in terms of CO 2 emission reduction is strongly coupled with generation mix and the proposed control strategy is favored in cases where less pollutant-based plants like nuclear and hydro power are profoundly dominant.

  10. Dispatchable Solar Power Plant Project

    Energy Technology Data Exchange (ETDEWEB)

    Price, Henry [Solar Dynamics LLC, Broomfield, CO (United States)

    2018-01-31

    As penetration of intermittent renewable power increases, grid operators must manage greater variability in the supply and demand on the grid. One result is that utilities are planning to build many new natural gas peaking power plants that provide added flexibility needed for grid management. This report discusses the development of a dispatchable solar power (DSP) plant that can be used in place of natural gas peakers. Specifically, a new molten-salt tower (MST) plant has been developed that is designed to allow much more flexible operation than typically considered in concentrating solar power plants. As a result, this plant can provide most of the capacity and ancillary benefits of a conventional natural gas peaker plant but without the carbon emissions. The DSP system presented was designed to meet the specific needs of the Arizona Public Service (APS) utility 2017 peaking capacity request for proposals (RFP). The goal of the effort was to design a MST peaker plant that had the operational capabilities required to meet the peaking requirements of the utility and be cost competitive with the natural gas alternative. The effort also addresses many perceived barriers facing the commercial deployment of MST technology in the US today. These include MST project development issues such as permitting, avian impacts, visual impacts of tower CSP projects, project schedule, and water consumption. The DSP plant design is based on considerable analyses using sophisticated solar system design tools and in-depth preliminary engineering design. The resulting DSP plant design uses a 250 MW steam power cycle, with solar field designed to fit on a square mile plot of land that has a design point thermal rating of 400 MWt. The DSP plant has an annual capacity factor of about 16% tailored to deliver greater than 90% capacity during the critical Arizona summer afternoon peak. The table below compares the All-In energy cost and capacity payment of conventional combustion turbines

  11. Economic Dynamics of the German Hog-Price Cycle

    Directory of Open Access Journals (Sweden)

    Ernst Berg

    2015-06-01

    Full Text Available We investigated the economic dynamics of the German hog-price cycle with an innovative ‘diagnostic’ modeling approach. Hog-price cycles are conventionally modeled stochastically—most recently as randomly-shifting sinusoidal oscillations. Alternatively, we applied Nonlinear Time Series analysis to empirically reconstruct a deterministic, low-dimensional, and nonlinear attractor from observed hog prices. We next formulated a structural (explanatory model of the pork industry to synthesize the empirical hog-price attractor. Model simulations demonstrate that low price-elasticity of demand contributes to aperiodic price cycling – a well know result – and further reveal two other important driving factors: investment irreversibility (caused by high specificity of technology, and liquidity-driven investment behavior of German farmers.

  12. Comparison of Medical Priority Dispatch (MPD) and Criteria Based Dispatch (CBD) relating to cardiac arrest calls.

    Science.gov (United States)

    Hardeland, Camilla; Olasveengen, Theresa M; Lawrence, Rob; Garrison, Danny; Lorem, Tonje; Farstad, Gunnar; Wik, Lars

    2014-05-01

    Prompt emergency medical service (EMS) system activation with rapid delivery of pre-hospital treatment is essential for patients suffering out-of-hospital cardiac arrest (OHCA). The two most commonly used dispatch tools are Medical Priority Dispatch (MPD) and Criteria Based Dispatch (CBD). We compared cardiac arrest call processing using these two dispatch tools in two different dispatch centres. Observational study of adult EMS confirmed (non-EMS witnessed) OHCA calls during one year in Richmond, USA (MPD) and Oslo, Norway (CBD). Patients receiving CPR prior to call, interrupted calls or calls where the caller did not have access to the patients were excluded from analysis. Dispatch logs, ambulance records and digitalized dispatcher and caller voice recordings were compared. The MPDS-site processed 182 cardiac arrest calls and the CBD-site 232, of which 100 and 140 calls met the inclusion criteria, respectively. The recognition of cardiac arrest was not different in the MPD and CBD systems; 82% vs. 77% (p=0.42), and pre-EMS arrival CPR instructions were offered to 81% vs. 74% (p=0.22) of callers, respectively. Time to ambulance dispatch was median (95% confidence interval) 15 (13, 17) vs. 33 (29, 36) seconds (pCBD systems, respectively (p=0.05). Pre-arrival CPR instructions were offered faster and more frequently in the CBD system, but in both systems chest compressions were delayed 3-4min. Earlier recognition of cardiac arrest and improved CPR instructions may facilitate earlier lay rescuer CPR. Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

  13. Family based dispatching with batch availability

    NARCIS (Netherlands)

    van der Zee, D.J.

    2013-01-01

    Family based dispatching rules seek to lower set-up frequencies by grouping (batching) similar types of jobs for joint processing. Hence shop flow times may be improved, as less time is spent on set-ups. Motivated by an industrial project we study the control of machines with batch availability,

  14. Chinese National Condition Based Power Dispatching Optimization in Microgrids

    Directory of Open Access Journals (Sweden)

    Gang Chen

    2018-01-01

    Full Text Available This paper proposed a study on the power dispatching optimization in the microgrid aiming at Chinese national condition based on PSO algorithm. The whole work is on the basis of the weighted factor variation of the objective function due to different weather conditions. Three cases including the good contamination-diffusing weather condition, the smog weather condition, and the normal condition are considered, respectively. In the case of smog weather, the new energy generation and the battery system will be all out to use as less power as possible from the primary grid so that the pollution produced by coal consumption in the thermal power plants can be upmost reduced. However, in the case of perfect contamination-diffusing weather, the battery is not used to reserve its lifetime, while a large amount of exchanged power from the primary grid is used to obtain a most economic-efficient effect. In normal condition, the power dispatching is performed in a most balanced way considering not only the cost but also the environmental management. The case study in Suzhou Industrial Part confirms the effectiveness of the proposed method in this paper.

  15. Economic dynamics of all members of the United Nations

    CERN Document Server

    Chukwu, Ethelbert Nwakuche

    2014-01-01

    This book provides an enduring response to modern economic problems and the consequent crises, dealing with the economic modelling of nations and the forecasting of economic growth. The main arguments embodied constitute the creation of jobs and the restoration of economic growth, using the implicit acceptance of analysis on differential models and neutral systems for controlling the wealth of nations.

  16. Structural and economic dynamics in diversified Italian farms

    Directory of Open Access Journals (Sweden)

    Cristina Salvioni

    2013-12-01

    Full Text Available Objective of this work is to investigate the structural change and economic dynamics of farms pursuing diversification and differentiation strategies in Italy. The analysis was performed on a panel of data built on the basis of information collected by the Italian FADN between 2003-2009. For the purpose of the analysis, we divided the population of commercial Italian farms into a five-fold farm typology based on size and the extent of diversification and differentiation strategies adopted by the farms. In detail, farms are defined as differentiated when they make use of a system of quality certification, while they are defined as diversified when they take up non farming activities (agritourism, social farms etc.. The findings show that conventional farms remain by far the largest category within the population of Italian commercial farms, while only 13% of the total commercial farms are classified as differentiated and/or diversified. Farms adopting product differentiation strategies are found to have an income growth path similar to that of conventional farms. Yet the category of diversified farms is the only one showing an upward trend with regard to income per worker in the observed years, while farms relying entirely on agricultural products appear to perform poorly in terms of labour productivity.

  17. Optimized dispatch in a first-principles concentrating solar power production model

    Energy Technology Data Exchange (ETDEWEB)

    Wagner, Michael J.; Newman, Alexandra M.; Hamilton, William T.; Braun, Robert J.

    2017-10-01

    Concentrating solar power towers, which include a steam-Rankine cycle with molten salt thermal energy storage, is an emerging technology whose maximum effectiveness relies on an optimal operational and dispatch policy. Given parameters such as start-up and shut-down penalties, expected electricity price profiles, solar availability, and system interoperability requirements, this paper seeks a profit-maximizing solution that determines start-up and shut-down times for the power cycle and solar receiver, and the times at which to dispatch stored and instantaneous quantities of energy over a 48-h horizon at hourly fidelity. The mixed-integer linear program (MIP) is subject to constraints including: (i) minimum and maximum rates of start-up and shut-down, (ii) energy balance, including energetic state of the system as a whole and its components, (iii) logical rules governing the operational modes of the power cycle and solar receiver, and (iv) operational consistency between time periods. The novelty in this work lies in the successful integration of a dispatch optimization model into a detailed techno-economic analysis tool, specifically, the National Renewable Energy Laboratory's System Advisor Model (SAM). The MIP produces an optimized operating strategy, historically determined via a heuristic. Using several market electricity pricing profiles, we present comparative results for a system with and without dispatch optimization, indicating that dispatch optimization can improve plant profitability by 5-20% and thereby alter the economics of concentrating solar power technology. While we examine a molten salt power tower system, this analysis is equally applicable to the more mature concentrating solar parabolic trough system with thermal energy storage.

  18. Foreword to the Special Issue on "Dynamic Models in Economics and Finance"

    Science.gov (United States)

    Gardini, Laura; Kubin, Ingrid; Tramontana, Fabio; Wagener, Florian

    2018-05-01

    International workshops on Dynamic Models in Economics and Finance (MDEF) take place every two years in Urbino (Italy); since the inception of the series in 2000, there have been nine editions. The subject has become a central topic for scholars working on economic dynamics. In 2016 the workshop was held under the auspices of University of Urbino "Carlo Bo" , DESP1

  19. Bio-economic modeling of water quality improvements using a dynamic applied general equilibrium approach

    NARCIS (Netherlands)

    Dellink, R.; Brouwer, R.; Linderhof, V.G.M.; Stone, K.

    2011-01-01

    An integrated bio-economic model is developed to assess the impacts of pollution reduction policies on water quality and the economy. Emission levels of economic activities to water are determined based on existing environmental accounts. These emission levels are built into a dynamic economic model

  20. A spatial-dynamic value transfer model of economic losses from a biological invasion

    Science.gov (United States)

    Thomas P. Holmes; Andrew M. Liebhold; Kent F. Kovacs; Betsy. Von Holle

    2010-01-01

    Rigorous assessments of the economic impacts of introduced species at broad spatial scales are required to provide credible information to policy makers. We propose that economic models of aggregate damages induced by biological invasions need to link microeconomic analyses of site-specific economic damages with spatial-dynamic models of value change associated with...

  1. Water transfers, agriculture, and groundwater management: a dynamic economic analysis.

    Science.gov (United States)

    Knapp, Keith C; Weinberg, Marca; Howitt, Richard; Posnikoff, Judith F

    2003-04-01

    Water transfers from agricultural to urban and environmental uses will likely become increasingly common worldwide. Many agricultural areas rely heavily on underlying groundwater aquifers. Out-of-basin surface water transfers will increase aquifer withdrawals while reducing recharge, thereby altering the evolution of the agricultural production/groundwater aquifer system over time. An empirical analysis is conducted for a representative region in California. Transfers via involuntary surface water cutbacks tilt the extraction schedule and lower water table levels and net benefits over time. The effects are large for the water table but more modest for the other variables. Break-even prices are calculated for voluntary quantity contract transfers at the district level. These prices differ considerably from what might be calculated under a static analysis which ignores water table dynamics. Canal-lining implies that districts may gain in the short-run but lose over time if all the reduction in conveyance losses is transferred outside the district. Water markets imply an evolving quantity of exported flows over time and a reduction in basin net benefits under common property usage. Most aquifers underlying major agricultural regions are currently unregulated. Out-of-basin surface water transfers increase stress on the aquifer and management benefits can increase substantially in percentage terms but overall continue to remain small. Conversely, we find that economically efficient management can mitigate some of the adverse consequences of transfers, but not in many circumstances or by much. Management significantly reduced the water table impacts of cutbacks but not annual net benefit impacts. Neither the break-even prices nor the canal-lining impacts were altered by much. The most significant difference is that regional water users gain from water markets under efficient management.

  2. Health and innovation: economic dynamics and Welfare State in Brazil.

    Science.gov (United States)

    Gadelha, Carlos Augusto Grabois; Braga, Patrícia Seixas da Costa

    2016-11-03

    The effective enforcement of the access to healthcare as fundamental right requires an important theoretical and political effort at linking the often contradictory economic and social dimensions of development. This study suggests the need for a systemic view of policies related to the industrial base and innovation in health and the construction of the Brazilian Unified National Health System (SUS). The authors investigate the relations between health, innovation, and development, seeking to show and update the political, economic, and social determinants of the recent Brazilian experience with the Health Economic-Industrial Complex (HEIC). They discuss how the agenda for innovation and domestic industrial production in health gained a central place in the project for construction of the SUS. The article thus seeks to link inherent issues from the agenda for development, production, and innovation to social policy in healthcare, as observed in recent years, and based on this analysis, points to political and conceptual challenges for implementing the SUS, especially as regards strengthening its technological and industrial base. As a byproduct, the article develops an analytical and factual focus on the consolidation of the HEIC in Brazil, both as a dynamic vector of industrial development, generating investment, income, employment, and innovations, and as a decisive element for reducing vulnerability and structural dependence in health. The authors aim to show that strengthening the SUS and orienting it to social needs is an essential part of building a social Welfare State in Brazil. Resumo: A efetivação da saúde como um direito fundamental exige importante esforço, teórico e político, de articulação das dimensões econômicas e sociais, por vezes contraditórias, do desenvolvimento. Este trabalho indica a necessidade de um olhar sistêmico das políticas relacionadas à base produtiva e de inovação em saúde e à construção do Sistema Único de Sa

  3. The dynamic relationship between money supply and economic growth

    Directory of Open Access Journals (Sweden)

    Antoni Antoni

    2015-10-01

    Full Text Available This study analyzes the influence of the financial sector to economic growth in Indonesia. The variables used are the country's financial sectors which are narrow money (M1, broad money (M2 and money the broadest money (M3, with an interest rate as a control variable. Economic growth is represented by Gross Domestic Product and producer price index. The analysis is performed using an Autoregressive Distributed Lag model (ARDL. The stability test is conducted using CUSUM test to see the changes in the structure and the effect of disruption to financial sector development relationship of economic growth. ARDL analysis results indicate that the development of the financial sector has a significant relationship with the country's economic growth. CUSUM analysis results suggest that the relationship of financial sector development-economic growth is stable against changes in economic structure.

  4. HEALTH CARE ECONOMICS IN ROMANIA--DYNAMICS AND EVOLUTION.

    Science.gov (United States)

    Tamba, B I; Azoicăi, Doina; Druguş, Daniela

    2016-01-01

    Health economics refers to the analysis of medical institutions considering their economic and social efficacy, but also the regularity and the relationships that govern the phenomena and the processes from the field of health with the final purpose of achieving better results with the minimum of resources; it represents the study of health price in its complexity. The economics of the population's health needs and in particular the health needs in case of the poor groups of the population, consider health to be the main component of global human vulnerability. Health economics tries to change the simple interpretation of health price and disease cost into a wider consideration of a system administration similar to educational and social economics and the study of health in the context of the multiple specializations of the macro economy of the national group, as it is an instrument in the country's great economics symphony.

  5. Social and economic development of Russia: Finding new dynamics

    Directory of Open Access Journals (Sweden)

    Dmitry Medvedev

    2016-12-01

    Full Text Available This paper addresses Russian economic development and economic policy in 2015–2016. The analysis focuses on external and domestic challenges as well as the anti-crisis policy of the Russian government. Special attention is paid to key elements of the new model of economic growth in Russia. The paper discusses economic policy priorities for sustainable growth that include budget efficiency, structural reforms and import substitution, the encouragement of entrepreneurship, the efficiency of public administration, and the modernization of the welfare state.

  6. Models of economic geography : dynamics, estimation and policy evaluation

    NARCIS (Netherlands)

    Knaap, Thijs

    2004-01-01

    In this thesis we look at economic geography models from a number of angles. We started by placing the theory in a context of preceding theories, both earlier work on spatial economics and other children of the monopolistic competition ‘revolution.’ Next, we looked at the theoretical properties of

  7. A dynamic optimization on economic energy efficiency in development: A numerical case of China

    International Nuclear Information System (INIS)

    Wang, Dong

    2014-01-01

    This paper is based on dynamic optimization methodology to investigate the economic energy efficiency issues in developing countries. The paper introduces some definitions about energy efficiency both in economics and physics, and establishes a quantitative way for measuring the economic energy efficiency. The linkage between economic energy efficiency, energy consumption and other macroeconomic variables is demonstrated primarily. Using the methodology of dynamic optimization, a maximum problem of economic energy efficiency over time, which is subjected to the extended Solow growth model and instantaneous investment rate, is modelled. In this model, the energy consumption is set as a control variable and the capital is regarded as a state variable. The analytic solutions can be derived and the diagrammatic analysis provides saddle-point equilibrium. A numerical simulation based on China is also presented; meanwhile, the optimal paths of investment and energy consumption can be drawn. The dynamic optimization encourages governments in developing countries to pursue higher economic energy efficiency by controlling the energy consumption and regulating the investment state as it can conserve energy without influencing the achievement of steady state in terms of Solow model. If that, a sustainable development will be achieved. - Highlights: • A new definition on economic energy efficiency is proposed mathematically. • A dynamic optimization modelling links economic energy efficiency with other macroeconomic variables in long run. • Economic energy efficiency is determined by capital stock level and energy consumption. • Energy saving is a key solution for improving economic energy efficiency

  8. Economic Development, Infant Mortality, and Their Dynamics in Latin America

    OpenAIRE

    Tadashi Yamada

    1983-01-01

    The main issue of this paper is to study infant mortality in Latin America in recent decades. In so doing, two questions must be answered: First, how large is the economic loss in terms of net national product due to child mortality under the age of 15 and what are the major causes of death? Second, has the decline of infant mortality been principally a product of economic development in Latin American countries?Surprisingly enough, there is significant variation of economic losses across Lat...

  9. An efficient technique to solve combined economic and emission ...

    Indian Academy of Sciences (India)

    2016-08-26

    Aug 26, 2016 ... Economic load dispatch is one of the vital purposes in electrical power system operation, management and planning. Economic dispatch problem is one of the most important problems in electric power system operation. In large scale system, the problem is more complex and difficult to find out optimal ...

  10. An efficient technique to solve combined economic and emission ...

    Indian Academy of Sciences (India)

    Economic load dispatch is one of the vital purposes in electrical power system operation, management and planning. Economic dispatch problem is one of the most important problems in electric power system operation. In large scale system, the problem is more complex and difficult to find out optimal solution because it is ...

  11. An efficient technique to solve combined economic and emission ...

    Indian Academy of Sciences (India)

    Abstract. Economic load dispatch is one of the vital purposes in electrical power system operation, management and planning. Economic dispatch problem is one of the most important problems in electric power system operation. In large scale system, the problem is more complex and difficult to find out optimal solution.

  12. Dynamics of Governance, Investment and economic Growth in Nigeria

    African Journals Online (AJOL)

    , governance and investment/capital formation is closely intertwined. The importance of the soundness and effectiveness of governance in attaining increased investment and sustained economic growth cannot be overemphasized.

  13. Population Dynamics in India and Implications for Economic Growth

    OpenAIRE

    David E. Bloom

    2011-01-01

    Demographic change in India is opening up new economic opportunities. As in many countries, declining infant and child mortality helped to spark lower fertility, effectively resulting in a temporary baby boom. As this cohort moves into working ages, India finds itself with a potentially higher share of workers as compared with dependents. If working-age people can be productively employed, India's economic growth stands to accelerate. Theoretical and empirical literature on the effect of demo...

  14. The dynamics of oil consumption and economic growth in Malaysia

    International Nuclear Information System (INIS)

    Park, Sun-Young; Yoo, Seung-Hoon

    2014-01-01

    This study attemps to investiagte the causal relationship between oil consumption and economic growth in Malaysia where oil consumption and real gross domestic product have been rapidly increased in recent years. To this end, the study employs annual data covering the period 1965–2011. Tests for unit roots, co-integration, and Granger-causality based on the error-correction models are presented. The overall results support the existence of bi-directional causality between oil consumption and economic growth in Malaysia. This means that an increase in oil consumption directly affect economic growth. Thus, in order not to make an adverse effect on economic growth, Malaysia should endeavor to overcome the constraints on oil consumption. Moreover, it appears that economic growth induces oil consumption. - Highlights: • We examine the causality between oil consumption and economic growth in Malaysia. • We employed the annual data covering the period 1965–2011. • We estimated error-correction models to test for the direction of causality. • We found that there is bi-directional causality between the two

  15. Optimization Scheduling Model for Wind-thermal Power System Considering the Dynamic penalty factor

    Science.gov (United States)

    PENG, Siyu; LUO, Jianchun; WANG, Yunyu; YANG, Jun; RAN, Hong; PENG, Xiaodong; HUANG, Ming; LIU, Wanyu

    2018-03-01

    In this paper, a new dynamic economic dispatch model for power system is presented.Objective function of the proposed model presents a major novelty in the dynamic economic dispatch including wind farm: introduced the “Dynamic penalty factor”, This factor could be computed by using fuzzy logic considering both the variable nature of active wind power and power demand, and it could change the wind curtailment cost according to the different state of the power system. Case studies were carried out on the IEEE30 system. Results show that the proposed optimization model could mitigate the wind curtailment and the total cost effectively, demonstrate the validity and effectiveness of the proposed model.

  16. Dynamic optimization the calculus of variations and optimal control in economics and management

    CERN Document Server

    Kamien, Morton I

    2012-01-01

    Since its initial publication, this text has defined courses in dynamic optimization taught to economics and management science students. The two-part treatment covers the calculus of variations and optimal control. 1998 edition.

  17. The Biodiversity Offsetting Dilemma: Between Economic Rationales and Ecological Dynamics

    Directory of Open Access Journals (Sweden)

    Coralie Calvet

    2015-06-01

    Full Text Available Although many countries have included biodiversity offsetting (BO requirements in their environmental regulations over the past four decades, this mechanism has recently been the object of renewed political interest. Incorporated into the mitigation hierarchy in three steps aimed at avoiding, reducing and offsetting residual impacts on biodiversity arising from development projects, BO is promoted as the way to achieve the political goal of No Net Loss of biodiversity (NNL. The recent success of BO is mainly based on its ability to provide economic incentives for biodiversity conservation. However, the diversity of BO mechanisms (direct offsets, banking mechanism and offsetting funds and the various institutional frameworks within which they are applied generate substantial confusion about their economic and ecological implications. In this article, we first analyze the rationale for the BO approach from the welfare and ecological economics. We show that both these frameworks support the use of BO to address environmental externalities, but that they differ in how they consider the substitutability issue and levels of sustainability with regard to natural and manufactured capital, and in how they address ecological concerns. We then examine the economic and ecological performance criteria of BO from conceptual and empirical perspectives. We highlight that the three BO mechanisms involve different economic and ecological logics and inherent benefits, but also potential risks in meeting biodiversity conservation targets. We lastly investigate the ecological constraints with respect to the BO practice, and economic and organizational limitations of the BO system that may impede achievement of NNL goals. We then reveal the existence of a tension between the economic and ecological rationales in conducting BO that requires making choices about the NNL policy objectives. Finally, this article questions the place of BO in conservation policies and

  18. Optimal dispatch strategy for the agile virtual power plant

    DEFF Research Database (Denmark)

    Petersen, Mette Højgaard; Bendtsen, Jan Dimon; Stoustrup, Jakob

    2012-01-01

    strategy exists, which is optimal regardless of future load/imbalances. The optimal dispatch is obtained at each sample by solving a quadratic program. Finally a simulation example illustrates the optimal dispatch strategy and compares the performance with a (non-optimal) MPC-strategy....

  19. The Dynamic Relationship between Crime and Economic Growth in Nigeria

    Directory of Open Access Journals (Sweden)

    Adekoya Adenuga Fabian

    2017-03-01

    Full Text Available Crime is a major impediment to economic growth and development in Nigeria despite measures taken to reduce it. There is, however, currently no major statistical analysis of how crime affects economic growth in that country. This study examines the link between crime and growth based on the theory of rational choice and empirical data. Exogenous and endogenous growth models are employed, and include deterrence variables. The period examined is 1970–2013 and estimation is done using the autoregressive distributed lag model. The results of our study show that crime affects economic growth at a 1% and 10% level of significance. In other words, crime imposes the costs of prosecution and punishment on the citizens and country, which influences the growth of the economy. Given our results, we suggest that police and the system of justice should be strengthened. Indeed, this may be necessary if the development target stated in Nigeria vision 20: 2020 is to be reached.

  20. The “Dynamic South,” Economic Development and Inclusive Growth ...

    International Development Research Centre (IDRC) Digital Library (Canada)

    25 sept. 2013 ... The impact of the 2008 economic crisis on labour markets and the role of social protection in these four emerging economies are among the subjects tackled in The "Dynamic South," Economic Development and Inclusive Growth: The Challenges Ahead. Edited by Alexandre de Freitas Barbosa and Maria ...

  1. Dynamics of the Socio-economic Discourse of the San People at ...

    African Journals Online (AJOL)

    This study reviews the dynamics of the socio-economic discourse of the San people at Platfontein, Northern Cape Province, South Africa. In order to examine the development of the socio-economic discourse since they settled in South Africa, the analysis was mainly based on the comprehensive status assessment of the ...

  2. An Agent-Based Dynamic Model of Politics, Fertility and Economic Development

    OpenAIRE

    Zining Yang

    2016-01-01

    In the political economy of development, government policy choices at a single point in time can dramatically affect a country's development path by impacting fertility, economic and political decisions across generations. Combining system dynamics and agent-based modeling approaches in a complex adaptive system, a simulation framework of the Politics of Fertility and Economic Development (POFED) is formalized to understand the relationship between politics, economic, and demography change at...

  3. Climate change feedback on economic growth: Explorations with a dynamic general equilibrium model

    OpenAIRE

    Eboli, Fabio; Parrado, Ramiro; Roson, Roberto

    2009-01-01

    Human-generated greenhouse gases depend on the level of economic activity. Therefore, most climate change studies are based on models and scenarios of economic growth. Economic growth itself, however, is likely to be affected by climate change impacts. These impacts affect the economy in multiple and complex ways: changes in productivity, resource endowments, production and consumption patterns. We use a new dynamic, multi-regional Computable General Equilibrium (CGE) model of the world econo...

  4. Government-opposition dynamics during the economic crisis in Greece

    NARCIS (Netherlands)

    Gemenis, Konstantinos; Nezi, Roula

    2012-01-01

    The paper examines the turbulent period of 2010-2012 when Greece became the first EU member-state to accept the IMF/EU bailout package. Unarguably, accepting the bailout package did not have only economic but also electoral consequences as the established party system has been steadily

  5. An Optimization Approach to the Dynamic Allocation of Economic Capital

    NARCIS (Netherlands)

    Laeven, R.J.A.; Goovaerts, M.J.

    2004-01-01

    We propose an optimization approach to allocating economic capital, distinguishing between an allocation or raising principle and a measure for the risk residual. The approach is applied both at the aggregate (conglomerate) level and at the individual (subsidiary) level and yields an integrated

  6. Eco-innovation Dynamics and Green Economic Change: the role of sectoral-specific patterns

    DEFF Research Database (Denmark)

    Andersen, Maj Munch; Faria, Lourenco

    2015-01-01

    This paper investigates the features of Green Economic Change process at the meso-level, the greening of industries. We posit that, as for “traditional” innovations, it is possible to identify sectoral eco-innovation patterns and that these represent key but neglected factors in the dynamics...... of green economic evolution. . The paper represents early speculative conceptual work. We have posited that, as for “general” innovations, it is possible to identify sectoral eco-innovation patterns and that these represent key but neglected factors in the dynamics of green economic chance. The paper...

  7. Recognition of out-of-hospital cardiac arrest by medical dispatchers in emergency medical dispatch centres in two countries

    DEFF Research Database (Denmark)

    Møller, Thea Palsgaard; Andréll, Cecilia; Viereck, Søren

    2016-01-01

    INTRODUCTION: Survival after out-of-hospital cardiac arrest (OHCA) remains low. Early recognition by emergency medical dispatchers is essential for an effective chain of actions, leading to early cardiopulmonary resuscitation, use of an automated external defibrillator and rapid dispatching...... of the emergency medical services. AIM: To analyse and compare the accuracy of OHCA recognition by medical dispatchers in two countries. METHOD: An observational register-based study collecting data from national cardiac arrest registers in Denmark and Sweden during a six-month period in 2013. Data were analysed...... in two steps; registry data were merged with electronically registered emergency call data from the emergency medical dispatch centres in the two regions. Cases with missing or non-OHCA dispatch codes were analysed further by auditing emergency call recordings using a uniform data collection template...

  8. Multilayer PV-storage Microgrids Algorithm for the Dispatch of Distributed Network

    Directory of Open Access Journals (Sweden)

    Yang Ping

    2016-01-01

    Full Text Available In recent years, due to the support of our country, PV-storage microgrid develops rapidly. However, the flexible network operation modes of PV-storage microgrid change flexibly and the operating characteristics with a large amout of sources is highly complicated. Based on the existing microgrid coordinate control methods, this paper proposes multilayer PV-storage microgrid algorithm for fitting dispatch of distributed network, which achieves maximum output of renewable energy when meeting the scheduling requirements of network, by building PV-storage microgrid type dynamic simulation system in a variety of conditions in PSCAD. Simulation results show that the heuristic algorithm proposed can achieve microgrid stable operation and satisfy the demands of the dispatch in distributed network.

  9. System dynamics modelling and simulating the effects of intellectual capital on economic growth

    Directory of Open Access Journals (Sweden)

    Ivona Milić Beran

    2015-10-01

    Full Text Available System dynamics modelling is one of the best scientific methods for modelling complex, nonlinear natural, economic and technical system dynamics as it enables both monitoring and assessment of the effects of intellectual capital on economic growth. Intellectual capital is defined as “the ability to transform knowledge and intangible assets into resources to create wealth for a company and a country.” Transformation of knowledge is crucial. Knowledge increases a country’s wealth only if its importance is recognized and applied differently from existing work practices. The aim of this paper is to show the efficiency of modelling system dynamics and simulating the effects of intellectual capital on economic growth. A computer simulation provided a mathematical model, providing practical insight into the dynamic behavior of the observed system, i.e. the analysis of economic growth and observation of mutual correlation between individual parameters. The results of the simulation are presented in graphical form. The dynamic model of the effects of intellectual capital on Croatia’s economic growth has been verified by comparing simulation results with existing data on economic growth.

  10. Applying a System Dynamics Approach for Modeling Groundwater Dynamics to Depletion under Different Economical and Climate Change Scenarios

    Directory of Open Access Journals (Sweden)

    Hamid Balali

    2015-09-01

    Full Text Available In the recent decades, due to many different factors, including climate change effects towards be warming and lower precipitation, as well as some structural policies such as more intensive harvesting of groundwater and low price of irrigation water, the level of groundwater has decreased in most plains of Iran. The objective of this study is to model groundwater dynamics to depletion under different economic policies and climate change by using a system dynamics approach. For this purpose a dynamic hydro-economic model which simultaneously simulates the farmer’s economic behavior, groundwater aquifer dynamics, studied area climatology factors and government economical policies related to groundwater, is developed using STELLA 10.0.6. The vulnerability of groundwater balance is forecasted under three scenarios of climate including the Dry, Nor and Wet and also, different scenarios of irrigation water and energy pricing policies. Results show that implementation of some economic policies on irrigation water and energy pricing can significantly affect on groundwater exploitation and its volume balance. By increasing of irrigation water price along with energy price, exploitation of groundwater will improve, in so far as in scenarios S15 and S16, studied area’s aquifer groundwater balance is positive at the end of planning horizon, even in Dry condition of precipitation. Also, results indicate that climate change can affect groundwater recharge. It can generally be expected that increases in precipitation would produce greater aquifer recharge rates.

  11. Population Dynamics and Long-Run Economic Growth

    OpenAIRE

    Casey, Gregory; Galor, Oded

    2014-01-01

    This paper applies insights from theoretical and empirical research in economic growth to analyze the impacts of policies affecting fertility, migration and human capital accumulation on growth and poverty alleviation. It underlines the tradeoff between having more children and investing more resources in the human capital of each child as a critical force in devising policies that will alleviate hardship and generate long-term prosperity. In developing countries, policies increasing the retu...

  12. Economic Man in the Dynamics of Time and Expanse Perception

    Directory of Open Access Journals (Sweden)

    Konstantin V. Kondratiev

    2017-11-01

    Full Text Available The article considers the issue of time perception by an economic person as an independent direction in the field of its study. The urgency of addressing this topic is conditioned, on the one hand, by the lack of its systemic coverage in literature about an economic man, and on the other hand, by the fact that the perception of time by an economic person not only develops the principles of his activity, but also influences the nature of their changes. Our study is built in accordance with the systemic, comparative-historical and dialectical method, the principle of historical and logical element unity. It is substantiated that an economic man could not appear in antiquity due to the lack of favorable conditions for his appearance, which will take shape only during the late Middle Ages and will be associated with the development of human existence secular vector. The contours of a bourgeois existence in the modern conditions of a postmodern situation are outlined. The mechanism of the bourgeois activity subordination is revealed to both linear and scattered-situational ways of time perception. The role of bourgeois activity is highlighted separately (through the transformation of the principle of uncertainty into the norm of life in the change of the linear time model by its scattered-situational interpretation. The study concludes that A The dialectical nature of the influence on each other concerning the way of time and bourgeois activity perception. B The scattered-situational model of time does not mean an end, but a new stage in the history of bourgeois, whose characteristics are the following ones: the combination of features characteristic of both of modernity epoch and the epoch preceding modernity; the transformation of the market from the method of a person's personality oppression into the instrument of his self-creation.

  13. An adaptive load dispatching and forecasting strategy for a virtual power plant including renewable energy conversion units

    International Nuclear Information System (INIS)

    Tascikaraoglu, A.; Erdinc, O.; Uzunoglu, M.; Karakas, A.

    2014-01-01

    Highlights: • Feasibility of virtual power plant concept for electricity market participation. • An economic operation based adaptive load dispatching strategy. • A new meteorological data forecasting algorithm. • Long term scheduling of virtual power plant components. - Abstract: The increasing awareness on the risky state of conventional energy sources in terms of future energy supply security and health of environment has promoted the research activities on alternative energy systems. However, due to the fact that the power production of main alternative sources such as wind and solar is directly related with meteorological conditions, these sources should be combined with dispatchable energy sources in a hybrid combination in order to ensure security of demand supply. In this study, the evaluation of such a hybrid system consisting of wind, solar, hydrogen and thermal power systems in the concept of virtual power plant strategy is realized. An economic operation-based load dispatching strategy that can interactively adapt to the real measured wind and solar power production values is proposed. The adaptation of the load dispatching algorithm is provided by the update mechanism employed in the meteorological condition forecasting algorithms provided by the combination of Empirical Mode Decomposition, Cascade-Forward Neural Network and Linear Model through a fusion strategy. Thus, the effects of the stochastic nature of solar and wind energy systems are better overcome in order to participate in the electricity market with higher benefits

  14. DYNAMICS ECONOMIC DISPARITIES IN NORTH-WEST REGION OF ROMANIA

    Directory of Open Access Journals (Sweden)

    Florea Adrian

    2011-07-01

    Full Text Available Even though over the years has enjoyed wide media coverage, with highlighted aspects, discrepancies and inequalities of economic potential between different regions of the world, or even parts of the same countries always remained topical. Difficulties arising from these differences were always felt, extremely painful by humans. Analyzing distinctly, participation of each county to the GDP of the Northwest Region and the composition of all indicators, we can identify significant discrepancies between counties, regions and municipalities. This is one of the reasons that led us trying to identify the causes that generated the current situation. From the perspective of the contribution of each county in the Northwest Region to Region's domestic product composition, the first place is taken by Cluj county 32.3%, followed by Bihor with 24.3%, Maramures, with 14.9% Satu-Mare, 12.1%, Bistrita-Nasaud, 9.1% and 7.2% Salaj. Consulting of the Regional Operational Programme 2007-2013 indicates that the poorest areas in the Northwest Region are in Maramures and Bistrita-Nasaud. An important part of the active population of North-West Region was employed in public enterprises and an increase of unemployment in the counties of Salaj, Satu Mare and Maramures became predictable, imminent amid restructuring of public enterprises with losses. Studies of employed population by sectors of the economy, shows a high rate of population employed in services in the counties of Cluj and Bihor and high employment in agriculture on other four counties. In a modern market economy, services are most concentrated labors, and how the workforce is distributed in the Northwest region also shows an imbalance. How Northwest Region is participating in international economic cycle has major effects on the population's living standards. Relevant for the inter-district disparities analysis is the human and agents behavior analysis and the savings and loan relationships. How people

  15. Economic diplomacy. The political dynamics of oil leverage

    Energy Technology Data Exchange (ETDEWEB)

    Daoudi, M.S.; Dajani, M.S.

    1985-01-01

    This study probes the 1973-1974 Arab oil embargo, detailing its history, the motivations that caused it and its ripple effect on world politics and the international economic order. The authors examine the interruption of oil supplies to Western Europe during the 1956 Suez Canal crisis, the growing momentum of Arab oil leverage beginning with the First Arab Petroleum Congress in 1959, the decline of the oil companies' domination of the petroleum industry, and the Arab political environment between the 1967 Arab defeat and the 1973 Arab oil embargo. The book concludes with a discussion of the lessons to be learned from the recent embargoes.

  16. Dynamical systems an introduction with applications in economics and biology

    CERN Document Server

    Tu, Pierre N V

    1994-01-01

    The favourable reception of the first edition and the encouragement received from many readers have prompted the author to bring out this new edition. This provides the opportunity for correcting a number of errors, typographical and others, contained in the first edition and making further improvements. This second edition has a new chapter on simplifying Dynamical Systems covering Poincare map, Floquet theory, Centre Manifold Theorems, normal forms of dynamical systems, elimination of passive coordinates and Liapunov-Schmidt reduction theory. It would provide a gradual transition to the study of Bifurcation, Chaos and Catastrophe in Chapter 10. Apart from this, most others - in fact all except the first three and last chapters - have been revised and enlarged to bring in some new materials, elaborate some others, especially those sections which many readers felt were rather too concise in the first edition, by providing more explana­ tion, examples and applications. Chapter 11 provides some good examples o...

  17. The value of dispatchability of CSP plants in the electricity systems of Morocco and Algeria

    International Nuclear Information System (INIS)

    Brand, Bernhard; Boudghene Stambouli, Amine; Zejli, Driss

    2012-01-01

    This paper examines the effects of an increased integration of concentrated solar power (CSP) into the conventional electricity systems of Morocco and Algeria. A cost-minimizing linear optimization tool was used to calculate the best CSP plant configuration for Morocco's coal-dominated power system as well as for Algeria, where flexible gas-fired power plants prevail. The results demonstrate that in both North African countries, storage-based CSP plants offer significant economic advantages over non-storage, low-dispatchable CSP configurations. However, in a generalized renewable integration scenario, where CSP has to compete with other renewable generation technologies, like wind or photovoltaic (PV) power, it was found that the cost advantages of dispatchability only justify CSP investments when a relatively high renewable penetration is targeted in the electricity mix. - Highlights: ► Market model to optimize CSP plant configuration in North African power systems. ► Value of storage-based CSP plants compared to non-dispatchable configurations: 28–55 €/MWh. ► Assessment of Morocco's and Algeria's renewable electricity targets until 2030. ► CSP becomes more competitive with intermittent technologies when high RES-E quota are targeted.

  18. Policies to Keep and Expand the Option of Concentrating Solar Power for Dispatchable Renewable Electricity

    Energy Technology Data Exchange (ETDEWEB)

    Mehos, Mark S [National Renewable Energy Laboratory (NREL), Golden, CO (United States); Lilliestam, Johan [Federal Swiss Institute for Technology (ETH); Barradi, Touria [MENARES; Caldes, Natalia [CIEMAT; Gomez, Marta [Dow Chemicals; Hanger, Susanne [Federal Swiss Institute for Technology (ETH); Kern, Jurgen [German Aerospace Center (DLR); Komendantova, Nadejda [Federal Swiss Institute for Technology (ETH); Hong, Wai Mun [Universidad Autonoma de Madrid; Wang, Zhifeng [Chinese Academy of Science; Patt, Anthony [Federal Swiss Institute for Technology (ETH)

    2018-02-16

    Concentrating solar power (CSP) is one of the few renewable electricity technologies that can offer dispatchable electricity at large scale. Thus, it may play an important role in the future, especially to balance fluctuating sources in increasingly renewables-based power systems. Today, its costs are higher than those of PV and wind power and, as most countries do not support CSP, deployment is slow. Unless the expansion gains pace and costs decrease, the industry may stagnate or collapse, and an important technology for climate change mitigation has been lost. Keeping CSP as a maturing technology for dispatchable renewable power thus requires measures to improve its short-term economic attractiveness and to continue reducing costs in the longer term. We suggest a set of three policy instruments - feed-in tariffs or auctions reflecting the value of dispatchable CSP, and not merely its cost; risk coverage support for innovative designs; and demonstration projects - to be deployed, in regions where CSP has a potentially large role to play. This could provide the CSP industry with a balance of attractive profits and competitive pressure, the incentive to expand CSP while also reducing its costs, making it ready for broad-scale deployment when it is needed.

  19. Robust optimization based energy dispatch in smart grids considering demand uncertainty

    Science.gov (United States)

    Nassourou, M.; Puig, V.; Blesa, J.

    2017-01-01

    In this study we discuss the application of robust optimization to the problem of economic energy dispatch in smart grids. Robust optimization based MPC strategies for tackling uncertain load demands are developed. Unexpected additive disturbances are modelled by defining an affine dependence between the control inputs and the uncertain load demands. The developed strategies were applied to a hybrid power system connected to an electrical power grid. Furthermore, to demonstrate the superiority of the standard Economic MPC over the MPC tracking, a comparison (e.g average daily cost) between the standard MPC tracking, the standard Economic MPC, and the integration of both in one-layer and two-layer approaches was carried out. The goal of this research is to design a controller based on Economic MPC strategies, that tackles uncertainties, in order to minimise economic costs and guarantee service reliability of the system.

  20. Economic load dispatch of wind-solar-thermal system using ...

    African Journals Online (AJOL)

    BSA is a novel population based stochastic search optimization technique, having simple structure and only one control parameter as population size. BSA has two new types of operator's as crossover and mutation for exploration and exploitation of search space of problem desired to be optimized and also satisfies all ...

  1. Simulated annealing approach for solving economic load dispatch ...

    African Journals Online (AJOL)

    user

    Abstract. This paper presents Simulated Annealing (SA) algorithm for optimization inspired by the process of annealing in ... Various classical optimization techniques were used to solve the ELD problem, for example: lambda iteration approach, ...... Research of fuzzy self-adaptive immune algorithm and its application.

  2. Economic load dispatch of wind-solar-thermal system using ...

    African Journals Online (AJOL)

    (SA) (Vishwakarma et al., 2013) , differential evolution (DE) (Noman et al., 2008), particle swarm optimization (PSO). (Selvakumar et al., 2007; Chaturvedi et al., 2008; Park et al., 2010) etc. Recently novel NI techniques as well as improved version has been also proposed for solution of complex constrained ELD problem as ...

  3. Solving unit commitment and economic load dispatch problems ...

    African Journals Online (AJOL)

    Metaheuristic methods are perfect for nonconvex issue as they do not experience the ill effects of confinement of continuity, convexity and differentiability. Actually numerous metaheuristic methods are used to solve ELD problem such as Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Simulated Annealing (SA), ...

  4. Political Sustainability of Economic reforms : Dynamics and Analysis of Regional Economic Factors

    NARCIS (Netherlands)

    Fidrmuc, J.

    1996-01-01

    This paper analyzes the political economy of the reform process theoretically and empirically.Building on the framework developed by Rodrik [1995], a two-sector model of a transition economy is constructed.This model is then used to study the dynamics of political support for the reforms.The key

  5. Dynamic inter-relationship between trade, economic growth and tourism in Malaysia

    OpenAIRE

    Sarmidi, Tamat; Salleh, Norlida H

    2010-01-01

    This study aims to test a hypothesis that postulate a positive inter-relationship between international flows of tourist, trade and economic growth. Although tourism is one of the major components in the trade of services, and it has been certified by large number of literatures on the strong correlation between tourism industry and economic development, yet not much is known on the dynamic inter-relationship between these three variables. Closing-up this gaping hole, this study employs the c...

  6. SMART operational field test evaluation : dispatchers survey report : final report

    Science.gov (United States)

    1997-06-01

    The Suburban Mobility Authority for Regional Transportation (SMART) has installed an automaticscheduling and dispatch system (ASD) in Southeast Michigan in accordance with their plans toimplement ITS as a site for an operational field test. The purpo...

  7. Impact of data link technology on railroad dispatching operations

    Science.gov (United States)

    2004-10-01

    This study examined data link communication as an alternative channel to voice radio for railroad dispatchers. The goal was to compare how data link affected performance compared to voice radio only communications on measures related to safety, produ...

  8. The effect of language barriers on dispatching EMS response.

    Science.gov (United States)

    Meischke, Hendrika W; Calhoun, Rebecca E; Yip, Mei-Po; Tu, Shin-Ping; Painter, Ian S

    2013-01-01

    The objective of this study was to investigate the effect of language barriers during medical 9-1-1 calls, on the time to dispatch and level of medical aid (Basic or Advanced Life Support). All 9-1-1 medical calls to two large call centers during one week for each of the months of August, October, December 2010 and February 2011, were reviewed for a notation of language barrier (LB). Non-language barrier calls were identified from the same time period such that there were an equal proportion of LB and non-LB calls by dispatch code and dispatcher. A total of 272 language barrier calls were identified. The computer-assisted dispatch (CAD) reports for the LB and non-LB calls were abstracted by research staff using a standard form, including: Start time of call, time to dispatch of BLS, time to dispatch of ALS, dispatch code, interpretation service use, on-scene upgrade to ALS, and on-scene downgrade to BLS. 9-1-1 recordings were abstracted for LB calls only to obtain information about use of interpreter services. Difference between LB and English speakers in time to assignment of BLS and ALS was examined using linear mixed effects models with log time as the outcome; language barrier, call center and dispatch code as fixed effects and dispatcher as a random effect. The effect of language barrier on time to BLS assignment was, on average, 33% longer (p language barrier calls. Data from the 9-1-1 recordings showed an average of 49 seconds between connecting to the service operator and connecting to the language interpreter. Language barrier calls were more likely to be up- and down-graded, only statistically significantly so for on-scene downgrades. Language barriers increase time to dispatch and the accuracy of the level of aid dispatched during medical emergency calls. Decreasing the time to connecting to an actual interpreter when using an interpretation service could minimize existing delays.

  9. A Mathematical Model of Economic Population Dynamics in a Country That Has Optimal Zakat Management

    Science.gov (United States)

    Subhan, M.

    2018-04-01

    Zakat is the main tools against two issues in Islamic economy: economic justice and helping the poor. However, no government of Islamic countries can solve the economic disparity today. A mathematical model could give some understanding about this phenomenon. The goal of this research is to obtain a mathematical model that can describe the dynamic of economic group population. The research is theoretical based on relevance references. From the analytical and numerical simulation, we conclude that well-manage zakat and full comitment of the wealthy can achieve wealth equilibrium that represents minimum poverty.

  10. Eco-innovation Dynamics - Creative Destruction ad Creative accumulation in green Economic Evolution

    DEFF Research Database (Denmark)

    Andersen, Maj Munch

    2010-01-01

    evolutionary economic theorizing on the dynamics of the “greening” of the economy, a theme which has been little analyzed so far. The paper suggests that the greening of the economic process should be seen as one of the most innovative changes in recent economic evolution entailing a major structural change...... economics. The paper concludes that we may see the emerging ‘ green economy’ as a specific historic era reflecting important changes in competitive conditions characterizing the modern knowledge economy. The paper contributes mainly to a micro-theoretical discussion forwarding a strong paradigmatic...... to a fundamental ‘green trajectory’ at the very general R&D level. The impact and pervasiveness of eco-innovation is at this very basic level influencing on the entire economy. The techno-economic paradigm change should be seen as a function of partly changes in the underlying trajectory and partly changes...

  11. Modelling Dynamics of Main Indicators of Economic Activity of Households of Ukraine

    Directory of Open Access Journals (Sweden)

    Zhuk Mykola O.

    2014-01-01

    Full Text Available The goal of the article is the study of the structure of the system of economic activity of households in Ukraine and dynamics of interconnections between the main indicators of its functioning. In order to study dynamics of main indicators of the system of economic activity of households, the article uses tools of econometric vector-autoregression modelling (VAR models. Based on the existing statistical data and a developed VAR model, the article studies individual and aggregate influence of lag values of indicators upon their current values, system reaction on main indicators impulses, analyses dynamics of change of explanation of dispersion of some indicators with others, and conducts two types of forecasts that reflect a general tendency of development of economic activity of households in Ukraine. High accuracy of forecasts obtained with the help of the proposed econometric model testifies to a possibility of its practical application for assessment of the state of main indicators of economic activity of households of Ukraine. The article applies for the first time the tools of VAR modelling for the study of economic activity of households in Ukraine, which expands possibilities of use of mathematical and statistical methods and models in this field of economy.

  12. Modelling the dynamics and economics of health in individual dairy herds

    DEFF Research Database (Denmark)

    Enevoldsen, Carsten; Sørensen, J.T.

    1994-01-01

    -life problems for the dairy farmer and the practicing veterinarian. The veterinarian was able to supply detailed information concerning managerial routines applied on the farm. Epidemiologic analyses of the collected data produced input for herd-specific modelling of herd dynamic and economic effects...

  13. Modelling the impact of mining on socio-economic infrastructure development: a system dynamics approach

    Directory of Open Access Journals (Sweden)

    Maluleke, George

    2016-12-01

    Full Text Available The contribution of mining activities to social infrastructure and human development is a complex socio-economic development issue in South Africa. Complexity theory has introduced a new approach to solving problems in social systems, recognising them as complex systems. The socio-economic development system in South Africa falls into this category of complex systems. Analysing such a system requires that a number of feedback loops and details about the issues be analysed simultaneously. This level of complexity is above a human’s ability to comprehend without the aid of tools such as systems thinking and system dynamics. The causality between investment in infrastructure capacity and socio-economic development is dynamic. The relationship is influenced by exogenous feedback that, if not managed, is likely to reverse itself. This paper presents the results of a system dynamics modelling of the relationship, based on the principle of relative attractiveness developed in previous system dynamics research. A Monte Carlo analysis is used to determine the sensitivity of the system to changes in feedback. The paper concludes that the limits to growth in a socio-economic environment are determined by more factors than the availability of capital, and also include land capacity constraints and skills shortage.

  14. Economic Impacts of Changes in Fish Population Dynamics: The Role of Fishermen’s Harvesting Strategies

    NARCIS (Netherlands)

    Link, P.M.; Schneider, U.A.; Tol, R.S.J.

    2011-01-01

    Using a bioeconomic model of the cod (Gadus morhua) and capelin (Mallotus villosus) fisheries of the Barents Sea, this study assesses the role of the fishermen's behavior in reducing or intensifying the effects on the stocks caused by altered population dynamics. The analysis focuses on the economic

  15. Energy consumption, carbon emissions and economic growth nexus in Bangladesh: Cointegration and dynamic causality analysis

    International Nuclear Information System (INIS)

    Jahangir Alam, Mohammad; Ara Begum, Ismat; Buysse, Jeroen; Van Huylenbroeck, Guido

    2012-01-01

    The paper investigates the possible existence of dynamic causality between energy consumption, electricity consumption, carbon emissions and economic growth in Bangladesh. First, we have tested cointegration relationships using the Johansen bi-variate cointegration model. This is complemented with an analysis of an auto-regressive distributed lag model to examine the results' robustness. Then, the Granger short-run, the long-run and strong causality are tested with a vector error correction modelling framework. The results indicate that uni-directional causality exists from energy consumption to economic growth both in the short and the long-run while a bi-directional long-run causality exists between electricity consumption and economic growth but no causal relationship exists in short-run. The strong causality results indicate bi-directional causality for both the cases. A uni-directional causality runs from energy consumption to CO 2 emission for the short-run but feedback causality exists in the long-run. CO 2 Granger causes economic growth both in the short and in the long-run. An important policy implication is that energy (electricity as well) can be considered as an important factor for the economic growth in Bangladesh. Moreover, as higher energy consumption also means higher pollution in the long-run, policy makers should stimulate alternative energy sources for meeting up the increasing energy demand. - Highlights: ► Dynamic causality among energy and electricity consumption, CO 2 and economic growth. ► Uni-directional causality exists from energy consumption to economic growth. ► Bi-directional causality exists between electricity consumption and economic growth. ► Feedback causality exists between CO 2 emission to energy consumption. ► CO 2 Granger causes economic growth both in the short and in the long-run.

  16. Interpreting the dynamic nexus between energy consumption and economic growth: Empirical evidence from Russia

    International Nuclear Information System (INIS)

    Zhang Yuejun

    2011-01-01

    Research on the nexus between energy consumption and economic growth is a fundamental topic for energy policy making and low-carbon economic development. Russia proves the third largest energy consumption country in the world in recent years, while little research has shed light upon its energy consumption issue till now, especially its energy-growth nexus. Therefore, this paper empirically investigates the dynamic nexus of the two variables in Russia based on the state space model. The results indicate that, first of all, Russia's energy consumption is cointegrated with its economic growth in a time-varying way though they do not have static or average cointegration relationship. Hence it is unsuitable to merely portrait the nexus in an average manner. Second, ever since the year of 2000, Russia's energy efficiency has achieved much more promotion compared with that in previous decades, mainly due to the industrial structure adjustment and technology progress. Third, among BRIC countries, the consistency of Russia's energy consumption and economic growth appears the worst, which suggests the complexity of energy-growth nexus in Russia. Finally, there exists bi-directional causality between Russia's energy consumption and economic growth, though their quantitative proportional relation does not have solid foundation according to the cointegration theory. - Research highlights: →This study investigates the dynamic nexus of energy consumption and economic growth in Russia. → Russia's energy consumption is cointegrated with its economic growth in a time-varying way though they do not have static or average cointegration relationship. → Ever since 2000, Russia's energy efficiency has achieved much more promotion compared with that in previous decades. → Among BRIC countries, the consistency of Russia's energy consumption and economic growth appears the worst. → There exists bi-directional causality between Russia's energy consumption and economic growth.

  17. Technological Exports and the Dynamics of Ukraine’s Economic Growth

    Directory of Open Access Journals (Sweden)

    Natalia Cherkass

    2006-03-01

    Full Text Available This article examines the promotion of technological exports in the context of making products competitive on the world market at the expense of quantified but not qualified factors. The author describes the destructive consequences of primary export growth. Relying on a designed structural model, she analyzes factors pertaining to technological exports and industrial production, and also evaluates the effectiveness of promoting exports for economic growth. She demonstrates the negative effect of the devaluation of the hryvnia on industrial production growth and the currency’s neutrality as a factor in the promotion of technological exports. The article establishes that technological exports determine to a considerable extent the dynamics of Ukraine’s economic growth, while the exports of raw materials worsen these indicators. The author shows that the export of metal products stands in the way of increasing technological export, and offers her recommendations to improve the dynamics of economic growth.

  18. The Effect of Foreign Direct Investment in Economic Growth from the Perspective of Nonlinear Dynamics

    Directory of Open Access Journals (Sweden)

    Ch. K. Volos

    2015-09-01

    Full Text Available In today’s globalized economy one of the most crucial factors for the economic growth of a country, especially of a developing country, is the foreign direct investment, not only because of the transfer of capital but also of technology. In this work, the effect of foreign direct investments in a county’s economic growth by using tools of nonlinear dynamics is studied. As a model of the economic growth of a country, a well-known nonlinear discrete-time dynamical system, the Logistic map, is used. The system under study consists of two countries with a strong economic relationship. The source country of foreign direct investments is an industrialized, economically powerful and technologically advanced country that makes significant investments in the host country, which is a developing country and strong dependent from the source country. Simulation results of system’s behavior and especially the bifurcation diagrams reveal the strong connection between the countries of the proposed system and the effect of foreign direct investments in the economic growth of the host country.

  19. Introduction to the use of FRAM on the effectiveness assessment of a radiopharmaceutical dispatches process

    International Nuclear Information System (INIS)

    Pereira, Ana G.A.A.

    2013-01-01

    This article aims to make an introduction to the use of Functional Resonance Analysis Method (FRAM) on the effectiveness assessment of a specific radiopharmaceutical dispatching process. The main purpose was to provide a didactic view of the method application to further in-depth analysis. The investigation also provided a relevant body of knowledge of radiopharmaceuticals dispatches processes. This work uses the term 'effectiveness assessment' instead of 'risk assessment' due to the broader meaning the former provide. The radiopharmaceutical dispatching process is the final task of a dynamic system designed to attend several medical facilities. It is comprised by functions involving mostly human activities, such as checking and packaging the product and measuring the radiopharmaceutical nuclear activity. Although the dispatch process has well-known steps for its completion, the human factor is the fundamental mechanism of work and control, being susceptible of irregular and instable performance. As a socio-technical system, the risk assessment provided by FRAM may be of importance for safety and quality improvements, even more if considered the nuclear nature of the product, which makes risk assessment critical and mandatory. A system is safe if it is resistant and resilient to perturbations. Identification and assessment of possible risks is, therefore, an essential prerequisite for system safety. Although this seems obvious, most risk assessments are conducted under relative ignorance of the full behavior of the system. Such condition has lead to an approach to assess the risks of intractable systems (i.e., systems that are incompletely described or under specified), namely Resilience Engineering. Into this area, the Functional Resonance Analysis Method has been developed in order to provide concepts, terminology and a set of methods capable of dealing with such systems. The study was conducted following the Functional Resonance Analysis Method. At first, the

  20. An improved control method of battery energy storage system for hourly dispatch of photovoltaic power sources

    International Nuclear Information System (INIS)

    Daud, Muhamad Zalani; Mohamed, Azah; Hannan, M.A.

    2013-01-01

    Highlights: • Control of BES for smoothing and hourly dispatch of a PV farm output is developed. • Optimal control strategy for SOC and size of BES are evaluated using GA. • Effectiveness of the control system has been investigated for the case of Malaysia. • The proposed optimal SOC feedback controller has been found effective. • Payback calculations of BES investment is given to highlight the economic benefits. - Abstract: The effects of intermittent cloud and changes in temperature cause a randomly fluctuated output of a photovoltaic (PV) system. To mitigate the PV system impacts particularly on a weak electricity network, battery energy storage (BES) system is an effective means to smooth out the power fluctuations. Consequently, the net power injected to the electricity grid by PV and BES (PV/BES) systems can be dispatched smoothly such as on an hourly basis. This paper presents an improved control strategy for a grid-connected hybrid PV/BES systems for mitigating PV farm output power fluctuations. A feedback controller for BES state of charge is proposed, where the control parameters are optimized using genetic algorithm (GA). GA-based multi objective optimization utilizes the daily average PV farm output power profile which was obtained from simulation using the historical PV system input data of Malaysia. In this way, the optimal size for the BES is also determined to hourly dispatch a 1.2 MW PV farm. A case study for Malaysia is carried out to evaluate the effectiveness of the proposed control scheme using PSCAD/EMTDC software package. Furthermore, the validation of results of the proposed controller and BES size on the actual PV system output data are also given. Finally, a simple payback calculation is presented to study the economical aspects of the BES investment on the proposed mitigation strategy under Malaysian Feed-in Tariff program

  1. Economic Dynamics

    NARCIS (Netherlands)

    Hommes, C.H.; Scott, A.

    2004-01-01

    The Encyclopedia of Nonlinear Science provides complete coverage at the introductory level of the field of nonlinear science, from intuitive descriptions to mathematical concepts over a wide range of subject matters. Comprised of 439 essays arranged alphabetically in one large volume, this

  2. J.A. Schumpeter and T.B. Veblen on economic evolution: the dichotomy between statics and dynamics.

    Science.gov (United States)

    Schütz, Marlies; Rainer, Andreas

    2016-09-02

    At present, the discussion on the dichotomy between statics and dynamics is resolved by concentrating on its mathematical meaning. Yet, a simple formalisation masks the underlying methodological discussion. Overcoming this limitation, the paper discusses Schumpeter's and Veblen's viewpoint on dynamic economic systems as systems generating change from within. It contributes to an understanding on their ideas of how economics could become an evolutionary science and on their contributions to elaborate an evolutionary economics. It confronts Schumpeter's with Veblen's perspective on evolutionary economics and provides insight into their evolutionary economic theorising by discussing their ideas on the evolution of capitalism.

  3. Methodologies of Designing Questionnaires Concerning the Dynamics and Structure of Specialists in an Economic Sector in an Economic Sector

    Directory of Open Access Journals (Sweden)

    Vasilica Ciuca

    2009-01-01

    Full Text Available On the labour demand side, in order to identify the match between skills and labour market demand, it is required a thorough analysis of structure and dynamic of specialists in an economic sector. The data necessary for this kind of analysis could not be found in the current statistical databases. Accordingly, it is necessary to carry out surveys for exploring the demand for skills. This study presents the main elements to be taken into account in designing of questionnaires necessary for analysing the demand of specialists in an economic sector, in particular for the domain of information and communication technologies (ICT. The surveys will focus on two main issues: past and future evolution of number of workers and problems in matching demand with qualifications supply. Thus, the analysis should concentrate on structure and evolution of number of workers at entreprise-level; practices and problems met in recruitment process, namely qualifications deficits and gaps any of these dimensions being a proxy of qualifications need. The survey target-group will be limited to ICT practitioner workers, both in firms with main or secondary NACE code and in firms/institutions with IT department.

  4. Risk-premia, Carry-trade Dynamics, and Economic Value of Currency Speculation

    DEFF Research Database (Denmark)

    Wagner, Christian

    2012-01-01

    In this paper, we derive the dynamics and assess the economic value of currency speculation by formalizing the concept of a trader inaction range. We show that exchange rate returns comprise a time-varying risk-premium and that uncovered interest parity (UIP) holds in a speculative sense. The often......-cited ‘forward bias puzzle’ originates from the omission of the risk-premium in standard UIP tests. Consistent with its popularity among market professionals, the carry-trade strategy can be rationalized as it systematically collects risk-premia, however, the economic value generated by bilateral carry...

  5. MODELLING OF TOURISM SERVICE DYNAMICS UNDER THE INFLUENCE OF ECONOMIC PATTERN OF SOCIETY

    Directory of Open Access Journals (Sweden)

    Lesya Buyak

    2016-11-01

    Full Text Available Tourism as a phenomenon of social life is a derivative of social development. Its appearance is attributed to the industrial stage of human development, which was inherent in the accelerated development of the productive forces, deepening division of labour, development of urbanization processes. Accelerated innovation changes related to scientific and technological progress contributed to the overall socio-economic development of certain countries, improve the living standards of their populations, changed the nature of work, method and way of life, especially evident in the XX century. Urbanization and changes in the settlement system, post-industrial phase of economic development, deepening comprehension of environmental issues and global dimension of humanity, humanization of all spheres of public life. The increase in tourist flows in all regions complicates the management of enterprises, schemes of partnership in the process in tourism, which, among other things, is accompanied by rising levels of consumer education, and therefore their quality requirements for end tourism product, the rapid increase in supply, there is a need to study the characteristics of consumer behaviour, search for existing reserves to build capacity of individual enterprises, isolation and effective use of effective methods and tools of influence on consumer choice of consumers. Development and implementation of an effective mechanism of formation of market supply needs an assessment of consumer behaviour on quantitative and qualitative indicators. The rapid development of tourism, of course, helps determine the types and methods of calculating these indicators. These problems and targeted research are considered in this article. The subject of research is the concept and tools of analysis, mathematical modelling of the economic structure of society in dynamic tourist services. Research methodology is economic and mathematical models, algorithms and processes

  6. Heuristic Optimization for the Discrete Virtual Power Plant Dispatch Problem

    DEFF Research Database (Denmark)

    Petersen, Mette Kirschmeyer; Hansen, Lars Henrik; Bendtsen, Jan Dimon

    2014-01-01

    We consider a Virtual Power Plant, which is given the task of dispatching a fluctuating power supply to a portfolio of flexible consumers. The flexible consumers are modeled as discrete batch processes, and the associated optimization problem is denoted the Discrete Virtual Power Plant Dispatch...... Problem. First NP-completeness of the Discrete Virtual Power Plant Dispatch Problem is proved formally. We then proceed to develop tailored versions of the meta-heuristic algorithms Hill Climber and Greedy Randomized Adaptive Search Procedure (GRASP). The algorithms are tuned and tested on portfolios...... of varying sizes. We find that all the tailored algorithms perform satisfactorily in the sense that they are able to find sub-optimal, but usable, solutions to very large problems (on the order of 10 5 units) at computation times on the scale of just 10 seconds, which is far beyond the capabilities...

  7. Adam Smith's invisible hand is unstable: physics and dynamics reasoning applied to economic theorizing

    Science.gov (United States)

    McCauley, Joseph L.

    2002-11-01

    Neo-classical economic theory is based on the postulated, nonempiric notion of utility. Neo-classical economists assume that prices, dynamics, and market equilibria are supposed to be derived from utility. The results are supposed to represent mathematically the stabilizing action of Adam Smith's invisible hand. In deterministic excess demand dynamics, however, a utility function generally does not exist mathematically due to nonintegrability. Price as a function of demand does not exist and all equilibria are unstable. Qualitatively, and empirically, the neo-classical prediction of price as a function of demand describes neither consumer nor trader demand. We also discuss five inconsistent definitions of equilibrium used in economics and finance, only one of which is correct, and then explain the fallacy in the economists’ notion of ‘temporary price equilibria’.

  8. Social class variation in risk: a comparative analysis of the dynamics of economic vulnerability.

    Science.gov (United States)

    Whelan, Christopher T; Maître, Bertrand

    2008-12-01

    A joint concern with multidimensionality and dynamics is a defining feature of the pervasive use of the terminology of social exclusion in the European Union. The notion of social exclusion focuses attention on economic vulnerability in the sense of exposure to risk and uncertainty. Sociological concern with these issues has been associated with the thesis that risk and uncertainty have become more pervasive and extend substantially beyond the working class. This paper combines features of recent approaches to statistical modelling of poverty dynamics and multidimensional deprivation in order to develop our understanding of the dynamics of economic vulnerability. An analysis involving nine countries and covering the first five waves of the European Community Household Panel shows that, across nations and time, it is possible to identify an economically vulnerable class. This class is characterized by heightened risk of falling below a critical resource level, exposure to material deprivation and experience of subjective economic stress. Cross-national differentials in persistence of vulnerability are wider than in the case of income poverty and less affected by measurement error. Economic vulnerability profiles vary across welfare regimes in a manner broadly consistent with our expectations. Variation in the impact of social class within and across countries provides no support for the argument that its role in structuring such risk has become much less important. Our findings suggest that it is possible to accept the importance of the emergence of new forms of social risk and acknowledge the significance of efforts to develop welfare states policies involving a shift of opportunities and decision making on to individuals without accepting the 'death of social class' thesis.

  9. A Dantzig-Wolfe decomposition algorithm for linear economic model predictive control of dynamically decoupled subsystems

    DEFF Research Database (Denmark)

    Sokoler, Leo Emil; Standardi, Laura; Edlund, Kristian

    2014-01-01

    This paper presents a warm-started Dantzig–Wolfe decomposition algorithm tailored to economic model predictive control of dynamically decoupled subsystems. We formulate the constrained optimal control problem solved at each sampling instant as a linear program with state space constraints, input ....... In the presence of process and measurement noise, such a regularization term is critical for achieving a well-behaved closed-loop performance....

  10. Optimal Real-time Dispatch for Integrated Energy Systems

    DEFF Research Database (Denmark)

    Anvari-Moghaddam, Amjad; Guerrero, Josep M.; Rahimi-Kian, Ashkan

    2016-01-01

    into a cohesive, networked package that fully utilizes smart energy-efficient end-use devices, advanced building control/automation systems, and integrated communications architectures, it is possible to efficiently manage energy and comfort at the end-use location. In this paper, an ontology-driven multi......-agent control system with intelligent optimizers is proposed for optimal real-time dispatch of an integrated building and microgrid system considering coordinated demand response (DR) and DERs management. The optimal dispatch problem is formulated as a mixed integer nonlinear programing problem (MINLP...

  11. Strategies for dispatching AGVs at automated seaport container terminals

    DEFF Research Database (Denmark)

    Grunow, Martin; Günther, H.O.; Lehmann, M.

    2006-01-01

    Control of logistics operations at container terminals is an extremely complex task, especially if automated guided vehicles (AGVs) are employed. In AGV dispatching, the stochastic nature of the handling systems must be taken into account. For instance, handling times of quay and stacking cranes......-line heuristic. The performance of the dispatching strategies is evaluated using a scalable simulation model. The design of the experimental study reflects conditions which are typical of a real automated terminal environment. Major experimental factors are the size of the terminal and the degree of stochastic...

  12. Strategies for dispatching AGV's at automated seaport container terminals

    DEFF Research Database (Denmark)

    Grunow, Martin; Günther, H.O.; Lehmann, M.

    2007-01-01

    Control of logistics operations at container terminals is an extremely complex task, especially if automated guided vehicles (AGVs) are employed. In AGV dispatching, the stochastic nature of the handling systems must be taken into account. For instance, handling times of quay and stacking cranes......-line heuristic. The performance of the dispatching strategies is evaluated using a scalable simulation model. The design of the experimental study reflects conditions which are typical of a real automated terminal environment. Major experimental factors are the size of the terminal and the degree of stochastic...

  13. Implementing a nationwide criteria-based emergency medical dispatch system

    DEFF Research Database (Denmark)

    Andersen, Mikkel; Johnsen, Søren Paaske; Sørensen, Jan Nørtved

    2013-01-01

    A criteria-based nationwide Emergency Medical Dispatch (EMD) system was recently implemented in Denmark. We described the system and studied its ability to triage patients according to the severity of their condition by analysing hospital admission and case-fatality risks.......A criteria-based nationwide Emergency Medical Dispatch (EMD) system was recently implemented in Denmark. We described the system and studied its ability to triage patients according to the severity of their condition by analysing hospital admission and case-fatality risks....

  14. Extended inclusive fitness theory: synergy and assortment drives the evolutionary dynamics in biology and economics.

    Science.gov (United States)

    Jaffe, Klaus

    2016-01-01

    W.D. Hamilton's Inclusive Fitness Theory explains the conditions that favor the emergence and maintenance of social cooperation. Today we know that these include direct and indirect benefits an agent obtains by its actions, and through interactions with kin and with genetically unrelated individuals. That is, in addition to kin-selection, assortation or homophily, and social synergies drive the evolution of cooperation. An Extended Inclusive Fitness Theory (EIFT) synthesizes the natural selection forces acting on biological evolution and on human economic interactions by assuming that natural selection driven by inclusive fitness produces agents with utility functions that exploit assortation and synergistic opportunities. This formulation allows to estimate sustainable cost/benefit threshold ratios of cooperation among organisms and/or economic agents, using existent analytical tools, illuminating our understanding of the dynamic nature of society, the evolution of cooperation among kin and non-kin, inter-specific cooperation, co-evolution, symbioses, division of labor and social synergies. EIFT helps to promote an interdisciplinary cross fertilization of the understanding of synergy by, for example, allowing to describe the role for division of labor in the emergence of social synergies, providing an integrated framework for the study of both, biological evolution of social behavior and economic market dynamics. Another example is a bio-economic understanding of the motivations of terrorists, which identifies different forms of terrorism.

  15. Transformation of the Terminological Apparatus of Economic Development of Innovation Activity under Conditions of Dynamic Changes in the External Environment

    Directory of Open Access Journals (Sweden)

    Sharko Margarita V.

    2017-12-01

    Full Text Available The aim of the article is to analyze the content interpretation of categorical concepts of economic development of production functioning under conditions of dynamic changes in the exploitation of the external environment. The article presents the author’s interpretation of the concepts of economic development and economic growth under conditions of dynamic changes in the external environment. The urgency of unification and systematization of the main interpretations of economic growth as a means of choosing and using certain management solutions under specific production conditions is substantiated. Based on the construction of the Ishikawa diagram, the reasons and difficulties of the economic growth of enterprises are graded. The conditions and factors of the conceptual apparatus of innovation activity under uncertainty are structured. It is shown that the complex application of iterative methods and methods of factor analysis provides a holistic perception of the dominant tendencies of economic development under conditions of dynamic changes in the external environment.

  16. Evaluation, implementation, and enhancement of the Dispatch Stack instruction issuing mechanism

    Energy Technology Data Exchange (ETDEWEB)

    Acosta, R.D.

    1985-01-01

    Processors with multiple functional units, such as Cray-1, Cyber 205, and FPS 164, are often used in performing large scientific computations. Much effort has been put into enhancing the throughputs of such processors. One critical consideration in their design is the identification and implementation of a suitable instruction-issuing scheme. Existing approaches do not issue enough instructions per machine cycle to fully utilize the functional units and realize the high performance levels attainable with these powerful execution resources. The Dispatch Stack is an instruction issuing approach designed to overcome this limitation. It achieves this by using data dependencies to dynamically schedule execution streams, allowing (1) one or more instructions to be issued per cycle and (2) instructions to be issued non-sequentially. In this thesis, the Dispatch Stack is formally described and placed in the context of the partial ordering of serial execution streams. It is contrasted to previously employed dynamic scheduling approaches, such as Tomasulo's Reservation stations and Common Data Bus for the IBM 360/91. Its effectiveness is evaluated by comparing it to other instruction issuing mechanisms via simulation techniques.

  17. Embodied economics: how bodily information shapes the social coordination dynamics of decision-making

    Science.gov (United States)

    Oullier, Olivier; Basso, Frédéric

    2010-01-01

    To date, experiments in economics are restricted to situations in which individuals are not influenced by the physical presence of other people. In such contexts, interactions remain at an abstract level, agents guessing what another person is thinking or is about to decide based on money exchange. Physical presence and bodily signals are therefore left out of the picture. However, in real life, social interactions (involving economic decisions or not) are not solely determined by a person's inference about someone else's state-of-mind. In this essay, we argue for embodied economics: an approach to neuroeconomics that takes into account how information provided by the entire body and its coordination dynamics influences the way we make economic decisions. Considering the role of embodiment in economics—movements, posture, sensitivity to mimicry and every kind of information the body conveys—makes sense. This is what we claim in this essay which, to some extent, constitutes a plea to consider bodily interactions between agents in social (neuro)economics. PMID:20026467

  18. A hybrid method of incorporating extended priority list into equal incremental principle for energy-saving generation dispatch of thermal power systems

    International Nuclear Information System (INIS)

    Cheng, Chuntian; Li, Shushan; Li, Gang

    2014-01-01

    The energy-saving generation dispatch (ESGD) policy released by Chinese Government in 2007 is a new code for optimally dispatching electric power generation portfolio in the country with the dual objectives of improving energy efficiency and reducing environmental pollution. The ESGD is substantially different from the competitive market in the developed economies, the traditional economic dispatching or the rational dispatching principle implemented in China prior to the new policy. This paper develops a hybrid method that integrates the extended priority list (EPL), the equal incremental principle (EIP) and a heuristic method to optimize daily generation schedules under ESGD. The EPL is presented to search desirable units set that satisfies the complicated duration period requirements based on thermal unit generation priority list. The EIP is developed to allocate load among the committed units within the combined set. A heuristic method is proposed to deal with inequality constraints, which usually result in difficulty for power allocation, and used to improve these results. The algorithm has been embedded into a newly developed decision support system that is currently being used by operators of the Guizhou Province Power Grid to make day-ahead quarter-hourly generation schedules. - Highlights: • Electric power industry is one of key and important fields for energy conservation and emission reduction in China. • The energy-saving generation dispatch policy was released by Chinese government in 2007. • A Hybrid algorithm for energy-saving generation dispatch scheduling of thermal power system is presented. • The algorithm has been embedded into a newly developed decision support system

  19. 7 CFR 351.6 - Packages in closed mail dispatches.

    Science.gov (United States)

    2010-01-01

    ....6 Agriculture Regulations of the Department of Agriculture (Continued) ANIMAL AND PLANT HEALTH INSPECTION SERVICE, DEPARTMENT OF AGRICULTURE IMPORTATION OF PLANTS OR PLANT PRODUCTS BY MAIL § 351.6... packages containing plants or plant products received in closed mail dispatches made up for transmission...

  20. Robot dispatching Scenario for Accident Condition Monitoring of NPP

    International Nuclear Information System (INIS)

    Kim, Jongseog

    2013-01-01

    In March of 2011, unanticipated big size of tsunami attacks Fukushima NPP, this accident results in explosion of containment building. Tokyo electric power of Japan couldn't dispatch a robot for monitoring of containment inside. USA Packbot robot used for desert war in Iraq was supplied to Fukushima NPP for monitoring of high radiation area. Packbot also couldn't reach deep inside of Fukushima NPP due to short length of power cable. Japanese robot 'Queens' also failed to complete a mission due to communication problem between robot and operator. I think major reason of these robot failures is absence of robot dispatching scenario. If there was a scenario and a rehearsal for monitoring during or after accident, these unanticipated obstacles could be overcome. Robot dispatching scenario studied for accident of nuclear power plant was described herein. Study on scenario of robot dispatching is performed. Flying robot is regarded as good choice for accident monitoring. Walking robot with arm equipped is good for emergency valve close. Short time work and shift work by several robots can be a solution for high radiation area. Thin and soft cable with rolling reel can be a good solution for long time work and good communication

  1. Robot dispatching Scenario for Accident Condition Monitoring of NPP

    Energy Technology Data Exchange (ETDEWEB)

    Kim, Jongseog [Central Research Institute of Korea Hydro and Nuclear Power Co., Daejeon (Korea, Republic of)

    2013-05-15

    In March of 2011, unanticipated big size of tsunami attacks Fukushima NPP, this accident results in explosion of containment building. Tokyo electric power of Japan couldn't dispatch a robot for monitoring of containment inside. USA Packbot robot used for desert war in Iraq was supplied to Fukushima NPP for monitoring of high radiation area. Packbot also couldn't reach deep inside of Fukushima NPP due to short length of power cable. Japanese robot 'Queens' also failed to complete a mission due to communication problem between robot and operator. I think major reason of these robot failures is absence of robot dispatching scenario. If there was a scenario and a rehearsal for monitoring during or after accident, these unanticipated obstacles could be overcome. Robot dispatching scenario studied for accident of nuclear power plant was described herein. Study on scenario of robot dispatching is performed. Flying robot is regarded as good choice for accident monitoring. Walking robot with arm equipped is good for emergency valve close. Short time work and shift work by several robots can be a solution for high radiation area. Thin and soft cable with rolling reel can be a good solution for long time work and good communication.

  2. Model documentation: Electricity Market Module, Electricity Fuel Dispatch Submodule

    Energy Technology Data Exchange (ETDEWEB)

    1994-04-08

    This report documents the objectives, analytical approach and development of the National Energy Modeling System Electricity Fuel Dispatch Submodule (EFD), a submodule of the Electricity Market Module (EMM). The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, model source code, and forecast results generated through the synthesis and scenario development based on these components.

  3. Wind Farm Dispatch Control for Demand Tracking and Minimized Fatigue

    DEFF Research Database (Denmark)

    Juelsgaard, Morten; Schiøler, Henrik; Leth, John-Josef

    2012-01-01

    This work presents a strategy for dispatching production references to the individual turbines in a wind farm, such that an overall production demand for the farm is obeyed, while the fatigue experienced by the turbines is minimized. Using a turbine fatigue model for simulating the aging across t...

  4. Convex Relaxation of Power Dispatch for Voltage Stability Improvement

    DEFF Research Database (Denmark)

    Pedersen, Andreas Søndergaard; Blanke, Mogens; Jóhannsson, Hjörtur

    2015-01-01

    dispatch is obtainable with enhancedmargins for voltage stability using a semidefinite relaxation ofthe optimal power flow problem, and that this problem canbe formulated as semidefinite program with a quasi-convexobjective. Numerical tests are performed on the IEEE-30 busand BPA systems. The feasibility...

  5. Time and space efficient multi-method dispatching

    DEFF Research Database (Denmark)

    Alstrup, Stephen; Brodal, Gerth Stølting; Gørtz, Inge Li

    2002-01-01

    The dispatching problem for object oriented languages is the problem of determining the most specialized method to invoke for calls at run-time. This can be a critical component of execution performance. A number of recent results, including [Muthukrishnan and Müller SODA’96, Ferragina and Muthuk...

  6. Viewpoint A Viewpoint on COP 15: Dispatches from Copenhagen ...

    African Journals Online (AJOL)

    Editor's Note. These dispatches from Copenhagen were received from Million Belay, director of an environmental non-governmental organisation (NGO) in Ethiopia called MELCA. Million is a well-known environmental activist and educator in Africa, with long-standing contributions to conservation in Africa. He is currently ...

  7. Virtual power plant mid-term dispatch optimization

    International Nuclear Information System (INIS)

    Pandžić, Hrvoje; Kuzle, Igor; Capuder, Tomislav

    2013-01-01

    Highlights: ► Mid-term virtual power plant dispatching. ► Linear modeling. ► Mixed-integer linear programming applied to mid-term dispatch scheduling. ► Operation profit maximization combining bilateral contracts and the day-ahead market. -- Abstract: Wind power plants incur practically zero marginal costs during their operation. However, variable and uncertain nature of wind results in significant problems when trying to satisfy the contracted quantities of delivered electricity. For this reason, wind power plants and other non-dispatchable power sources are combined with dispatchable power sources forming a virtual power plant. This paper considers a weekly self-scheduling of a virtual power plant composed of intermittent renewable sources, storage system and a conventional power plant. On the one hand, the virtual power plant needs to fulfill its long-term bilateral contracts, while, on the other hand, it acts in the market trying to maximize its overall profit. The optimal dispatch problem is formulated as a mixed-integer linear programming model which maximizes the weekly virtual power plant profit subject to the long-term bilateral contracts and technical constraints. The self-scheduling procedure is based on stochastic programming. The uncertainty of the wind power and solar power generation is settled by using pumped hydro storage in order to provide flexible operation, as well as by having a conventional power plant as a backup. The efficiency of the proposed model is rendered through a realistic case study and analysis of the results is provided. Additionally, the impact of different storage capacities and turbine/pump capacities of pumped storage are analyzed.

  8. Dynamic Environmental/Economic Scheduling for Microgrid Using Improved MOEA/D-M2M

    Directory of Open Access Journals (Sweden)

    Xin Li

    2016-01-01

    Full Text Available The environmental/economic dynamic scheduling for microgrids (MGs is a complex multiobjective optimization problem, which usually has dynamic system parameters and constraints. In this paper, a biobjective optimization model of MG scheduling is established. And various types of microsources (like the conventional sources, various types of renewable sources, etc., electricity markets, and dynamic constraints are considered. A recently proposed MOEA/D-M2M framework is improved (I-MOEA/D-M2M to solve the real-world MG scheduling problems. In order to deal with the constraints, the processes of solutions sorting and selecting in the original MOEA/D-M2M are revised. In addition, a self-adaptive decomposition strategy and a modified allocation method of individuals are introduced to enhance the capability of dealing with uncertainties, as well as reduce unnecessary computational work in practice and meet the time requirements for the dynamic optimization tasks. Thereafter, the proposed I-MOEA/D-M2M is applied to the independent MG scheduling problems, taking into account the load demand variation and the electricity price changes. The simulation results by MATLAB show that the proposed method can achieve better distributed fronts in much less running time than the typical multiobjective evolutionary algorithms (MOEAs like the improved strength Pareto evolutionary algorithm (SPEA2 and the nondominated sorting genetic algorithm II (NSGAII. Finally, I-MOEA/D-M2M is used to solve a 24-hour MG dynamic operation scheduling problem and obtains satisfactory results.

  9. The Dynamics of the Economic-Financial Performance of the Corporate System of National Economy

    Directory of Open Access Journals (Sweden)

    Riabokin Taras V.

    2017-02-01

    Full Text Available The article is aimed at analyzing the dynamics of the economic-financial performance of the national corporate system, identifying trends in its development. An allocation of the corporate system as a structured object and its research will contribute to understanding of the dynamic properties of the corporate system itself, its actors, and the economy as a whole. An analysis of the dynamics of the economic-financial performance of the corporate system of national economy has been carried out. The national accounts of Ukraine for 2008-2015, in particular, in the sectors of both non-financial and financial corporations as the major subsystems of the corporate system, have been analyzed. Trends as to releasing goods and services, intermediate consumption, gross value added, and net value added, incomes, savings, net lending (+, and net borrowing (-, have been highlighted. Future researches should address a deeper analysis of the performance indicators of individual corporations, the corporate structures, constituting a part of the core corporate system, including the financial core, as well as efficiency of the State administration of national economy

  10. Endogenous Population Dynamics and Economic Growth with Free Trade between Countries

    Directory of Open Access Journals (Sweden)

    Wei-Bin Zhang

    2016-05-01

    Full Text Available This paper builds a model to deal with dynamic interdependence between different countries' birth rates, mortality rates, populations, wealth accumulation, and time distributions between working, leisure and children caring. The model shows the role of human capital, technological and preference changes on national differences in birth rates, mortality rates, time distributions, population change, and wealth accumulation. The economic mechanisms of wealth accumulation, production and trade are based the Solow growth model and the Oniki-Uzawa trade model. We use the utility function proposed by Zhang to describe the behavior of households. We model national and gender differences in human capital, propensity to have children, propensity to use leisure time, and children caring efficiency. We describe the dynamics of global economic growth, trade patterns, national differences in wealth, income, birth rates, mortality rates, and populations with differential equations. We simulate the model to show the motion of the system and identify the existence of equilibrium point. We also examine the effects of changes in the propensity to have children, the propensity to save, woman's propensity to use leisure, woman's human capital, and woman's emotional involvement in children caring on the dynamics of the global and national economies.

  11. Optimal generation and reserve dispatch in a multi-area competitive market using a hybrid direct search method

    International Nuclear Information System (INIS)

    Chun Lung Chen

    2005-01-01

    With restructuring of the power industry, competitive bidding for energy and ancillary services are increasingly recognized as an important part of electricity markets. It is desirable to optimize not only the generator's bid prices for energy and for providing minimized ancillary services but also the transmission congestion costs. In this paper, a hybrid approach of combining sequential dispatch with a direct search method is developed to deal with the multi-product and multi-area electricity market dispatch problem. The hybrid direct search method (HDSM) incorporates sequential dispatch into the direct search method to facilitate economic sharing of generation and reserve across areas and to minimize the total market cost in a multi-area competitive electricity market. The effects of tie line congestion and area spinning reserve requirement are also consistently reflected in the marginal price in each area. Numerical experiments are included to understand the various constraints in the market cost analysis and to provide valuable information for market participants in a pool oriented electricity market. (author)

  12. Optimal generation and reserve dispatch in a multi-area competitive market using a hybrid direct search method

    International Nuclear Information System (INIS)

    Chen, C.-L.

    2005-01-01

    With restructuring of the power industry, competitive bidding for energy and ancillary services are increasingly recognized as an important part of electricity markets. It is desirable to optimize not only the generator's bid prices for energy and for providing minimized ancillary services but also the transmission congestion costs. In this paper, a hybrid approach of combining sequential dispatch with a direct search method is developed to deal with the multi-product and multi-area electricity market dispatch problem. The hybrid direct search method (HDSM) incorporates sequential dispatch into the direct search method to facilitate economic sharing of generation and reserve across areas and to minimize the total market cost in a multi-area competitive electricity market. The effects of tie line congestion and area spinning reserve requirement are also consistently reflected in the marginal price in each area. Numerical experiments are included to understand the various constraints in the market cost analysis and to provide valuable information for market participants in a pool oriented electricity market

  13. Dynamic linkages between road transport energy consumption, economic growth, and environmental quality: evidence from Pakistan.

    Science.gov (United States)

    Danish; Baloch, Muhammad Awais

    2018-03-01

    The focus of the present research work is to investigate the dynamic relationship between economic growth, road transport energy consumption, and environmental quality. To this end, we rely on time series data for the period 1971 to 2014 in the context of Pakistan. To use sulfur dioxide (SO 2 ) emission from transport sector as a new proxy for measuring environmental quality, the present work employs time series technique ARDL which allows energy consumption from the transport sector, urbanization, and road infrastructure to be knotted by symmetric relationships with SO 2 emissions and economic growth. From the statistical results, we confirm that road infrastructure boosts economic growth. Simultaneously, road infrastructure and urbanization hampers environmental quality and causes to accelerate emission of SO 2 in the atmosphere. Furthermore, economic growth has a diminishing negative impact on total SO 2 emission. Moreover, we did not find any proof of the expected role of transport energy consumption in SO 2 emission. The acquired results directed that care should be taken in the expansion of road infrastructure and green city policies and planning are required in the country.

  14. Static and dynamic metrics of economic resilience for interdependent infrastructure and industry sectors

    International Nuclear Information System (INIS)

    Pant, Raghav; Barker, Kash; Zobel, Christopher W.

    2014-01-01

    Infrastructures are needed for maintaining functionality and stability of society, while being put under substantial stresses from natural or man-made shocks. Since avoiding shock is impossible, increased focus is given to infrastructure resilience, which denotes the ability to recover and operate under new stable regimes. This paper addresses the problem of estimating, quantifying and planning for economic resilience of interdependent infrastructures, where interconnectedness adds to problem complexity. The risk-based economic input–output model enterprise, a useful tool for measuring the cascading effects of interdependent failures, is employed to introduce a framework for economic resilience estimation. We propose static and dynamic measures for resilience that confirm to well-known resilience concepts of robustness, rapidity, redundancy, and resourcefulness. The quantitative metrics proposed here (static resilience metric, time averaged level of operability, maximum loss of functionality, time to recovery) guide a preparedness decision making framework to promote interdependent economic resilience estimation. Using the metrics we introduce new multi-dimensional resilience functions that allow multiple resource allocation scenarios. Through an example problem we demonstrate the usefulness of these functions in guiding resource planning for building resilience

  15. Cognitive radio policy and regulation techno-economic studies to facilitate dynamic spectrum access

    CERN Document Server

    Holland, Oliver

    2014-01-01

    This book offers a timely reflection on how the proliferation of advanced wireless communications technologies, particularly cognitive radio (CR) can be enabled by thoroughly-considered policy and appropriate regulation. It looks at the prospects of CR from the divergent standpoints of technological development and economic market reality. The book provides a broad survey of various techno-economic and policy aspects of CR development, and provides the reader with an understanding of the complexities involved as well as a toolbox of possible solutions to enable the evolutionary leap towards successful implementation of disruptive CR technology or indeed any other novel wireless technologies. Cognitive Radio Policy and Regulation showcases the original ideas and concepts introduced into the field of CR and dynamic spectrum access policy over nearly four years of work within COST Action IC0905 TERRA, a think-tank with participants from more than 20 countries. The book’s subject matter includes: • deploymen...

  16. Assessing economic impacts of China's water pollution mitigation measures through a dynamic computable general equilibrium analysis

    International Nuclear Information System (INIS)

    Qin Changbo; Jia Yangwen; Wang Hao; Bressers, Hans T A; Su, Z

    2011-01-01

    In this letter, we apply an extended environmental dynamic computable general equilibrium model to assess the economic consequences of implementing a total emission control policy. On the basis of emission levels in 2007, we simulate different emission reduction scenarios, ranging from 20 to 50% emission reduction, up to the year 2020. The results indicate that a modest total emission reduction target in 2020 can be achieved at low macroeconomic cost. As the stringency of policy targets increases, the macroeconomic cost will increase at a rate faster than linear. Implementation of a tradable emission permit system can counterbalance the economic costs affecting the gross domestic product and welfare. We also find that a stringent environmental policy can lead to an important shift in production, consumption and trade patterns from dirty sectors to relatively clean sectors.

  17. Insurance penetration and economic growth in Africa: Dynamic effects analysis using Bayesian TVP-VAR approach

    Directory of Open Access Journals (Sweden)

    D.O. Olayungbo

    2016-12-01

    Full Text Available This paper examines the dynamic interactions between insurance and economic growth in eight African countries for the period of 1970–2013. Insurance demand is measured by insurance penetration which accounts for income differences across the sample countries. A Bayesian Time Varying Parameter Vector Auto regression (TVP-VAR model with stochastic volatility is used to analyze the short run and the long run among the variables of interest. Using insurance penetration as a measure of insurance to economic growth, we find positive relationship for Egypt, while short-run negative and long-run positive effects are found for Kenya, Mauritius, and South Africa. On the contrary, negative effects are found for Algeria, Nigeria, Tunisia, and Zimbabwe. Implementation of sound financial reforms and wide insurance coverage are proposed recommendations for insurance development in the selected African countries.

  18. The Dynamic Causal Relationship between Electricity Consumption and Economic Growth in Ghana: A Trivariate Causality Model

    Directory of Open Access Journals (Sweden)

    Bernard N. Iyke

    2014-06-01

    Full Text Available This paper examines the dynamic causal relationship between electricity consumption and economic growth in Ghana within a trivariate ARDL framework, for the period 1971–2012.The paper obviates the variable omission bias, and the use of cross-sectional techniques that characterise most existing studies. The results show that there is a distinct causal flow from economic growth to electricity consumption: both in the short run and in the long run. This finding supports the growth-led electricity consumption hypothesis, as documented in the literature. The paper urges policymakers in Ghana to resort to alternative sources of electric power generation, in order to reduce any future pressures on the current sources of electricity production. Appropriate monetary policies must also be put in place, in order to accommodate potential inflation hikes stemming from excessive demands for electricity in the near future.

  19. (ajst) on optimum dispatch of electric power

    African Journals Online (AJOL)

    The industrial growth of any nation depends greatly on the reliability of a large interconnected electric power system. Electric power system is a significant form of modern energy source, because of its application in nearly all spheres of human endeavour aimed at socio- economic development. In an interconnected power.

  20. Optimal Real-time Dispatch for Integrated Energy Systems

    Energy Technology Data Exchange (ETDEWEB)

    Firestone, Ryan Michael [Univ. of California, Berkeley, CA (United States)

    2007-05-31

    This report describes the development and application of a dispatch optimization algorithm for integrated energy systems (IES) comprised of on-site cogeneration of heat and electricity, energy storage devices, and demand response opportunities. This work is intended to aid commercial and industrial sites in making use of modern computing power and optimization algorithms to make informed, near-optimal decisions under significant uncertainty and complex objective functions. The optimization algorithm uses a finite set of randomly generated future scenarios to approximate the true, stochastic future; constraints are included that prevent solutions to this approximate problem from deviating from solutions to the actual problem. The algorithm is then expressed as a mixed integer linear program, to which a powerful commercial solver is applied. A case study of United States Postal Service Processing and Distribution Centers (P&DC) in four cities and under three different electricity tariff structures is conducted to (1) determine the added value of optimal control to a cogeneration system over current, heuristic control strategies; (2) determine the value of limited electric load curtailment opportunities, with and without cogeneration; and (3) determine the trade-off between least-cost and least-carbon operations of a cogeneration system. Key results for the P&DC sites studied include (1) in locations where the average electricity and natural gas prices suggest a marginally profitable cogeneration system, optimal control can add up to 67% to the value of the cogeneration system; optimal control adds less value in locations where cogeneration is more clearly profitable; (2) optimal control under real-time pricing is (a) more complicated than under typical time-of-use tariffs and (b) at times necessary to make cogeneration economic at all; (3) limited electric load curtailment opportunities can be more valuable as a compliment to the cogeneration system than alone; and

  1. Entropy Maximization as a Basis for Information Recovery in Dynamic Economic Behavioral Systems

    Directory of Open Access Journals (Sweden)

    George Judge

    2015-02-01

    Full Text Available As a basis for information recovery in open dynamic microeconomic systems, we emphasize the connection between adaptive intelligent behavior, causal entropy maximization and self-organized equilibrium seeking behavior. This entropy-based causal adaptive behavior framework permits the use of information-theoretic methods as a solution basis for the resulting pure and stochastic inverse economic-econometric problems. We cast the information recovery problem in the form of a binary network and suggest information-theoretic methods to recover estimates of the unknown binary behavioral parameters without explicitly sampling the configuration-arrangement of the sample space.

  2. Modelling the dynamics and economics of health in individual dairy herds

    DEFF Research Database (Denmark)

    Enevoldsen, Carsten; Sørensen, J.T.

    1994-01-01

    Collaboration with practicing veterinarians was established in a research project and has resulted in several epidemiologic tools to assist them in their work. Simultaneously, the research group obtained continuous access to valid and precise data and obtained first-hand knowledge about real......-life problems for the dairy farmer and the practicing veterinarian. The veterinarian was able to supply detailed information concerning managerial routines applied on the farm. Epidemiologic analyses of the collected data produced input for herd-specific modelling of herd dynamic and economic effects...

  3. Quadratic partial eigenvalue assignment in large-scale stochastic dynamic systems for resilient and economic design

    International Nuclear Information System (INIS)

    Das, Sonjoy; Goswami, Kundan; Datta, Biswa N.

    2014-01-01

    Failure of structural systems under dynamic loading can be prevented via active vibration control which shifts the damped natural frequencies of the systems away from the dominant range of loading spectrum. The damped natural frequencies and the dynamic load typically show significant variations in practice. A computationally efficient methodology based on quadratic partial eigenvalue assignment technique and optimization under uncertainty has been formulated in the present work that will rigorously account for these variations and result in an economic and resilient design of structures. A novel scheme based on hierarchical clustering and importance sampling is also developed in this work for accurate and efficient estimation of probability of failure to guarantee the desired resilience level of the designed system. Numerical examples are presented to illustrate the proposed methodology

  4. Water security, risk, and economic growth: Insights from a dynamical systems model

    Science.gov (United States)

    Dadson, Simon; Hall, Jim W.; Garrick, Dustin; Sadoff, Claudia; Grey, David; Whittington, Dale

    2017-08-01

    Investments in the physical infrastructure, human capital, and institutions needed for water resources management have been noteworthy in the development of most civilizations. These investments affect the economy in two distinct ways: (i) by improving the factor productivity of water in multiple economic sectors, especially those that are water intensive such as agriculture and energy and (ii) by reducing acute and chronic harmful effects of water-related hazards like floods, droughts, and water-related diseases. The need for capital investment to mitigate risks and promote economic growth is widely acknowledged, but prior conceptual work on the relationship between water-related investments and economic growth has focused on the productive and harmful roles of water in the economy independently. Here the two influences are combined using a simple, dynamical systems model of water-related investment, risk, and growth. In cases where initial water security is low, initial investment in water-related assets enables growth. Without such investment, losses due to water-related hazards exert a drag on economic growth and may create a poverty trap. The presence and location of the poverty trap is context-specific and depends on the exposure of productive water-related assets to water-related risk. Exogenous changes in water-related risk can potentially push an economy away from a growth path toward a poverty trap. Our investigation shows that an inverted-U-shaped investment relation between the level of investment in water security and the current level of water security leads to faster rates of growth than the alternatives that we consider here, and that this relation is responsible for the "S"-curve that is posited in the literature. These results illustrate the importance of accounting for environmental and health risks in economic models and offer insights for the design of robust policies for investment in water-related productive assets to manage risk, in the face

  5. [Various methods of dynamic functional analysis in human sciences and economics].

    Science.gov (United States)

    Schiltz, J

    2006-01-01

    Including the temporal and developmental dimension into the measurement of human conduct is a fundamental concern for those who do research in natural surroundings. Observing an individual day after day may possibly give a more complete vision of how behavior works than measuring a group of individuals at a single time and analyzing the differences found among them. Unfortunately most of the tools allowing analyzing individual time series call for large numbers of repeated observations. Thus, practicable longitudinal research designs often do not involve either enough repeated measurements for traditional time series analyses nor either replicate enough individuals for traditional, large-sample analyses. Dynamic factor analysis is a rationale and procedure for both pooling relatively short time series information across limited numbers of participants and analyzing the pooled information for its dynamic, process-relevant elements. It is a merging of two important analytical tools - multivariate time series and the common factor model, from which it distinguishes itself mainly by the fact that in dynamic factor analysis, the values of the common factors can influence the values of the observed variables both concurrently and in delayed fashion. Dynamic factor analysis is actually a method which allows detecting structures in the time series as well as the relations between the series and the explanatory variables. We illustrate the different models used in psychology and social sciences, as well as in econometry and economics.

  6. THE WAYS AND METHODS OF MAINTENANCE OF ECONOMIC STABILITY OF BUILDING ENTERPRISE BY CAUSE OF DYNAMIC MODEL

    Directory of Open Access Journals (Sweden)

    A.M. Platonov

    2008-12-01

    Full Text Available It is considered in work what exactly is main base for construction of dynamic model of stability of the building enterprise. There are submitted normative requirements which provide economic stability and also normative parities of dynamics of the parameters that correspond to these requirements. The technique of providing of economic stability is submitted on examples of two building enterprises of Ekaterinburg in view of results of their work in years of 2005-2006. There are determined the ways of providing of economic stability on the results of the carried out calculation. There are also revealed reserves of the enterprises for growth of efficiency of their activity.

  7. Application of System Dynamics to Evaluate the Social and Economic Benefits of Infrastructure Projects

    Directory of Open Access Journals (Sweden)

    Tiep Nguyen

    2017-03-01

    Full Text Available Cost-Benefit Analysis (CBA is often employed to inform decision makers about the desirability of transport infrastructure investment options. One of the main limitations of traditional CBA approaches is that they do not provide a dynamic view that explicitly illustrates the cost and benefit relationships between component entities over time. This paper addresses this issue by describing a System Dynamics (SD approach that can perform transport infrastructure CBA through the application of systems thinking to develop a causal-loop model that can subsequently be operationalised into an executable stock-and-flow model. Execution of this model readily enables sensitivity analysis of infrastructure investment options and visualisation of the cost-benefit behaviour of each variant over time. The utility of the approach is illustrated through a case study, the Co Chien Bridge project in Vietnam, using a model that incorporates conventional economic metrics and factors that measure indirect project benefits, such as impact on gross domestic product, unemployment rate, and total taxes gained from affected economic sectors.

  8. Large-scale multi-zone optimal power dispatch using hybrid hierarchical evolution technique

    Directory of Open Access Journals (Sweden)

    Manjaree Pandit

    2014-03-01

    Full Text Available A new hybrid technique based on hierarchical evolution is proposed for large, non-convex, multi-zone economic dispatch (MZED problems considering all practical constraints. Evolutionary/swarm intelligence-based optimisation techniques are reported to be effective only for small/medium-sized power systems. The proposed hybrid hierarchical evolution (HHE algorithm is specifically developed for solving large systems. The HHE integrates the exploration and exploitation capabilities of particle swarm optimisation and differential evolution in a novel manner such that the search efficiency is improved substantially. Most hybrid techniques export or exchange features or operations from one algorithm to the other, but in HHE their entire individual features are retained. The effectiveness of the proposed algorithm has been verified on six-test systems having different sizes and complexity levels. Non-convex MZED solution for such large and complex systems has not yet been reported.

  9. Distributed Optimal Dispatch of Distributed Energy Resources Over Lossy Communication Networks

    Energy Technology Data Exchange (ETDEWEB)

    Wu, Junfeng; Yang, Tao; Wu, Di; Kalsi, Karanjit; Johansson, Karl Henrik

    2017-11-01

    In this paper, we consider the economic dispatch problem (EDP), where a cost function that is assumed to be strictly convex is assigned to each of distributed energy resources (DERs), over packet dropping networks. The goal of a standard EDP is to minimize the total generation cost while meeting total demand and satisfying individual generator output limit. We propose a distributed algorithm for solving the EDP over networks. The proposed algorithm is resilient against packet drops over communication links. Under the assumption that the underlying communication network is strongly connected with a positive probability and the packet drops are independent and identically distributed (i.i.d.), we show that the proposed algorithm is able to solve the EDP. Numerical simulation results are used to validate and illustrate the main results of the paper.

  10. Integrating System Dynamic and Fuzzy Logic for Economic Assessment of BOT Projects

    Directory of Open Access Journals (Sweden)

    Farnad Nasirzadeh

    2016-03-01

    Full Text Available The selection of the most appropriate project for the investment is one of the most important decisions that should be made by the private investors. This problem is of vital importance in BOT projects, where the total investment as well as the investor's profit should be recovered by the project's income. There are several approaches proposed by the researchers to determine the best economical project in comparison to other projects. The previous researches, however, faced with some major defects. As an example, the effects of various factors affecting the project evaluation process as well as the existing risks and uncertainties are not taken into account. In this research, economic assessment of BOT projects is performed by integrating system dynamic simulation approach and fuzzy logic. For this purpose, first the project's NPV is modeled considering all the influencing factors qualitatively. The relationships that exist between different factors are then determined and the quantitative model is built. Using the developed model, the value of NPV is simulated considering the effects of all the influencing factors and the existing uncertainties. Finally, the value of project's NPV is determined as a triangular fuzzy number. Finally, the best alternative project is selected by comparing the simulated values of NPV. To evaluate the capabilities and performance of the proposed model, the project economical evaluation is performed for two highway projects and the best project is selected.

  11. Entrepreneurship and its Economical Value in a very Dynamic Business Environment

    Directory of Open Access Journals (Sweden)

    Ana-Maria Grigore

    2015-02-01

    Full Text Available The aim of this article is to enrich the vision regarding the connection between entrepreneurship and economic growth, focusing upon an economy in transition to a market economy. The authors of the present paper have developed an empirical model – based on a constant preoccupation to observe the impact of the entrepreneurial phenomenon on the free, emerging market in Romania – model which uses a number of variables which are believed to influence the critical mass of viable business existing in a dynamic environment. The proposed model identifies the factors that need to be activated in the current context to transfer the theoretical importance of SME’s in the truly complex world of an economy that desires to be prosperous. Then, the model was exposed to the test of the objective statistical and mathematical testing, starting from the results obtained from a survey of 536 entrepreneurs. The methodological approach makes use both of regression models, which use the relevant aspects from the survey, turned into quantitative or qualitative variables, and of the analysis of variance, with the aim of explaining the way in which the considered variables have managed to determine the economic growth, as well as of determining their importance and their influence. Finally, several conclusions have been outlined, regarding the economic policy measures that are needed and feasible in order to make the business environment in Romania more predictable and more friendly and, thus, to encourage entrepreneurship.

  12. The economic-engineering of smart-meter-enabled dynamic water pricing

    Science.gov (United States)

    Rougé, Charles; Harou, Julien

    2016-04-01

    The introduction of smart metering is set to revolutionize in many ways how water utilities conduct their business and interact with customers. Among those is the possibility of changing water prices during the day or seasonally. This work presents the engineering and economic implications of dynamic pricing implemented at two distinct timescales, 1) a seasonal scarcity tariff aimed at reducing consumption during drier period or droughts, and 2) time-of-day tariffs aimed at reducing peak-hour water use. Sophisticated dynamic pricing schemes are hard to understand for many users, and this reduces their social acceptability because it gives the impression that they help the water utility charge more for water. Therefore, we focus on simple pricing mechanisms, and estimating their short- and long-term benefits for communication with regulators and consumers. Seasonal scarcity tariffs are designed by adjusting prices such that the increased expenditure is commensurate with economic gains in other uses such as the environment and recreation. These tariffs could promote efficient use of limited supplies during relatively dry periods. In the long term, consistently reducing water consumption when it is scarce delays the need to invest in new sources of supply meant only for dry periods (e.g. desalination) which can bring down supply costs in the long-term. Reducing peak-hour use through time-of-day tariffs in the short run decreases peak-hour energy consumption and delays maintenance by reducing the likelihood of pipe burst. In the long run it delays capacity expansion of the distribution network. We develop and demonstrate a simple economic model of water supply to a generic city to demonstrate these concepts. This simple model is applied to London's water supply to better understand the scale of potential price changes and savings given London's environmental flow demands.

  13. Can public health registry data improve Emergency Medical Dispatch?

    DEFF Research Database (Denmark)

    Andersen, M S; Christensen, E F; Jepsen, S B

    2016-01-01

    BACKGROUND: Emergency Medical Dispatchers make decisions based on limited information. We aimed to investigate if adding demographic and hospitalization history information to the dispatch process improved precision. METHODS: This 30-day follow-up study evaluated time-critical emergencies...... in contact with the emergency phone number 112 in Denmark during 18 months. 'Time-critical' was defined as suspected First Hour Quintet (FHQ) (cardiac arrest, chest pain, stroke, difficulty breathing, trauma). The association of age, sex, and hospitalization history with adverse outcomes was examined using......-59 was associated with increased adjusted odds ratio (OR) of death on day 1 of 3.59 [2.88-4.47]. Male sex was associated with an increased adjusted OR of death on day 1 of 1.37 [1.28-1.47]. Previous hospitalization with nutritional deficiencies (adjusted OR 2.07 [1.47-2.92]) and severe chronic liver disease...

  14. The Oak Ridge Competitive Electricity Dispatch (ORCED) Model Version 9

    Energy Technology Data Exchange (ETDEWEB)

    Hadley, Stanton W. [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Baek, Young Sun [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

    2016-11-01

    The Oak Ridge Competitive Electricity Dispatch (ORCED) model dispatches power plants in a region to meet the electricity demands for any single given year up to 2030. It uses publicly available sources of data describing electric power units such as the National Energy Modeling System and hourly demands from utility submittals to the Federal Energy Regulatory Commission that are projected to a future year. The model simulates a single region of the country for a given year, matching generation to demands and predefined net exports from the region, assuming no transmission constraints within the region. ORCED can calculate a number of key financial and operating parameters for generating units and regional market outputs including average and marginal prices, air emissions, and generation adequacy. By running the model with and without changes such as generation plants, fuel prices, emission costs, plug-in hybrid electric vehicles, distributed generation, or demand response, the marginal impact of these changes can be found.

  15. Wolf Search Algorithm for Solving Optimal Reactive Power Dispatch Problem

    Directory of Open Access Journals (Sweden)

    Kanagasabai Lenin

    2015-03-01

    Full Text Available This paper presents a new bio-inspired heuristic optimization algorithm called the Wolf Search Algorithm (WSA for solving the multi-objective reactive power dispatch problem. Wolf Search algorithm is a new bio – inspired heuristic algorithm which based on wolf preying behaviour. The way wolves search for food and survive by avoiding their enemies has been imitated to formulate the algorithm for solving the reactive power dispatches. And the speciality  of wolf is  possessing  both individual local searching ability and autonomous flocking movement and this special property has been utilized to formulate the search algorithm .The proposed (WSA algorithm has been tested on standard IEEE 30 bus test system and simulation results shows clearly about the good performance of the proposed algorithm .

  16. Modeling the economic costs of disasters and recovery: analysis using a dynamic computable general equilibrium model

    Science.gov (United States)

    Xie, W.; Li, N.; Wu, J.-D.; Hao, X.-L.

    2014-04-01

    Disaster damages have negative effects on the economy, whereas reconstruction investment has positive effects. The aim of this study is to model economic causes of disasters and recovery involving the positive effects of reconstruction activities. Computable general equilibrium (CGE) model is a promising approach because it can incorporate these two kinds of shocks into a unified framework and furthermore avoid the double-counting problem. In order to factor both shocks into the CGE model, direct loss is set as the amount of capital stock reduced on the supply side of the economy; a portion of investments restores the capital stock in an existing period; an investment-driven dynamic model is formulated according to available reconstruction data, and the rest of a given country's saving is set as an endogenous variable to balance the fixed investment. The 2008 Wenchuan Earthquake is selected as a case study to illustrate the model, and three scenarios are constructed: S0 (no disaster occurs), S1 (disaster occurs with reconstruction investment) and S2 (disaster occurs without reconstruction investment). S0 is taken as business as usual, and the differences between S1 and S0 and that between S2 and S0 can be interpreted as economic losses including reconstruction and excluding reconstruction, respectively. The study showed that output from S1 is found to be closer to real data than that from S2. Economic loss under S2 is roughly 1.5 times that under S1. The gap in the economic aggregate between S1 and S0 is reduced to 3% at the end of government-led reconstruction activity, a level that should take another four years to achieve under S2.

  17. The Tet Offensive and the Battle of Khe Sahn as a Watershed of the Vietnam War: Michael Herr's Dispatches

    Directory of Open Access Journals (Sweden)

    Luiz Carlos Moreira da Rocha

    2013-08-01

    Full Text Available ABSTRACT: The literature of war, independently of genre, tends to record the causes of the conflict, which are generally political and economic. But, it also tends to appoint a kind of aesthetics of reception, in other words, how the conflict is felt and registered by the experiences of the individual, whether soldier, writer, journalist or common reader. In Dispatches, the fantasies of the grunts, the allusions to the theory of dominoes, the necessity to win the hearts and minds of the Vietnamese people, and the role of the press are condensed in this remarkable non-fictional narrative.

  18. A thermal storage capacity market for non dispatchable renewable energies

    Science.gov (United States)

    Bennouna, El Ghali; Mouaky, Ammar; Arrad, Mouad; Ghennioui, Abdellatif; Mimet, Abdelaziz

    2017-06-01

    Due to the increasingly high capacity of wind power and solar PV in Germany and some other European countries and the high share of variable renewable energy resources in comparison to fossil and nuclear capacity, a power reserve market structured by auction systems was created to facilitate the exchange of balance power capacities between systems and even grid operators. Morocco has a large potential for both wind and solar energy and is engaged in a program to deploy 2000MW of wind capacity by 2020 and 3000 MW of solar capacity by 2030. Although the competitiveness of wind energy is very strong, it appears clearly that the wind program could be even more ambitious than what it is, especially when compared to the large exploitable potential. On the other hand, heavy investments on concentrated solar power plants equipped with thermal energy storage have triggered a few years ago including the launching of the first part of the Nour Ouarzazate complex, the goal being to reach stable, dispatchable and affordable electricity especially during evening peak hours. This paper aims to demonstrate the potential of shared thermal storage capacity between dispatchable and non dispatchable renewable energies and particularly CSP and wind power. Thus highlighting the importance of a storage capacity market in parallel to the power reserve market and the and how it could enhance the development of both wind and CSP market penetration.

  19. Urbanization, economic development and health: evidence from China's labor-force dynamic survey.

    Science.gov (United States)

    Chen, Hongsheng; Liu, Ye; Li, Zhigang; Xue, Desheng

    2017-11-29

    The frequent outbreak of environmental threats in China has resulted in increased criticism regarding the health effects of China's urbanization. Urbanization is a double-edged sword with regard to health in China. Although great efforts have been made to investigate the mechanisms through which urbanization influences health, the effect of both economic development and urbanization on health in China is still unclear, and how urbanization-health (or development-health) relationships vary among different income groups remain poorly understood. To bridge these gaps, the present study investigates the impact of both urbanization and economic development on individuals' self-rated health and its underlying mechanisms in China. We use data from the national scale of the 2014 China Labor-force Dynamics Survey to analyze the impact of China's urbanization and economic development on health. A total of 14,791 individuals were sampled from 401 neighborhoods within 124 prefecture-level cities. Multilevel ordered logistic models were applied. Model results showed an inverted U-shaped relationship between individuals' self-rated health and urbanization rates (with a turning point of urbanization rate at 42.0%) and a positive linear relationship between their self-rated health and economic development. Model results also suggested that the urbanization-health relationship was inverted U-shaped for high- and middle-income people (with a turning point of urbanization rate at 0.0% and 49.2%, respectively), and the development-health relationship was inverted U-shaped for high- and low-income people (with turning points of GDP per capita at 93,462 yuan and 71,333 yuan, respectively) and linear for middle-income people. The impact of urbanization and economic development on health in China is complicated. Careful assessments are needed to understand the health impact of China's rapid urbanization. Social and environmental problems arising from rapid urbanization and economic growth

  20. Porn star/stripper/escort: economic and sexual dynamics in a sex work career.

    Science.gov (United States)

    Escoffier, Jeffrey

    2007-01-01

    This article explores the career dynamics of performers in the gay male pornography industry, by focusing on a common career path- from porn star to stripper to escort. Between 1995 and 2005, most men performing in gay porn films, unlike contract actresses in the straight porn industry, have been unable to earn enough income to work exclusively as performers in front of the camera. The industry's constant search for new faces and fresh performers creates what sociologist Paul Cressey has called "the retrogressive dynamic": The longer a person works in a sexual occupation, the less one is paid, and the lower the status of the work venue. In the porn industry, one aspect of this process is referred to as "overexposure," during which the performer experiences a diminishing "fantasy potential" as fans lose erotic interest in the porn star who has appeared too frequently in too many movies. Performers attempt to confront the retrogressive dynamic by limiting the number of adult films in which they appear in a year, diversifying their sexual repertoire, or shifting into other roles within the industry (behind the camera, marketing, production, etc.). One common option is to pursue work in economically complementary forms of sex work such as stripping and escorting.

  1. Ways to Create the Radio-Optical Airspace and Surface Control System for Dispatch Services of Regional Airports

    Directory of Open Access Journals (Sweden)

    V. N. Skosyrev

    2015-01-01

    Full Text Available Various countries today are actively seeking concept of the future complex equipment to provide information support for the control and dispatch services of regional airports and small aircraft aerodromes. This is due to the general trend towards the air traffic intensification, especially that of small aircrafts, as well for economic reasons to reduce the cost of info-dispatching system of regional airports compared with the large airports. Radars for different-purpose are the most universal and all-weather information sensors for aerodrome control services.For regional airports where air traffic is low, the use of information and dispatching systems based on radars, air-field surveillance radars, and approach radars is unreasonably expensive. For the last few years, optoelectronic information systems for info-dispatching systems of regional airports have been developing. When using the optoelectronic information systems at the regional aerodromes in our country there are problems of ensuring the full operation of the airport systems in adverse weather conditions (snow, rain, fog and a lack of the independent control of the aircraft flight in the airport control zone.Development of new technologies in radar enabled us to design a highly informative radarand-optical complex to accept the challenges of the all-weather information sensor in control and dispatching system of regional airports. This complex, for the first time in the aerodrome radars, uses two branches of the ultra-wideband signal technology together, namely: very short pulse radar (VSPR technology and that of the wideband inter-pulse signals and integration with optoelectronic systems. Integration of passive optical-electronic and radar channels allowed us to raise the accuracy of determining the angular coordinates at small ranges, where they are most important.However, since so far there were no complexes, such as “D-RLS”, the existing regulatory documents do not reflect

  2. A Hybrid Multilevel Storage Architecture for Electric Power Dispatching Big Data

    Science.gov (United States)

    Yan, Hu; Huang, Bibin; Hong, Bowen; Hu, Jing

    2017-10-01

    Electric power dispatching is the center of the whole power system. In the long run time, the power dispatching center has accumulated a large amount of data. These data are now stored in different power professional systems and form lots of information isolated islands. Integrating these data and do comprehensive analysis can greatly improve the intelligent level of power dispatching. In this paper, a hybrid multilevel storage architecture for electrical power dispatching big data is proposed. It introduces relational database and NoSQL database to establish a power grid panoramic data center, effectively meet power dispatching big data storage needs, including the unified storage of structured and unstructured data fast access of massive real-time data, data version management and so on. It can be solid foundation for follow-up depth analysis of power dispatching big data.

  3. Secure Route Structures for Parallel Mobile Agents Based Systems Using Fast Binary Dispatch

    Directory of Open Access Journals (Sweden)

    Yan Wang

    2005-01-01

    Full Text Available In a distributed environment, where a large number of computers are connected together to enable the large-scale sharing of data and computing resources, agents, especially mobile agents, are the tools for autonomously completing tasks on behalf of their owners. For applications of large-scale mobile agents, security and efficiency are of great concern. In this paper, we present a fast binary dispatch model and corresponding secure route structures for mobile agents dispatched in parallel to protect the dispatch routes of agents while ensuring the dispatch efficiency. The fast binary dispatch model is simple but efficient with a dispatch complexity of O(log2n. The secure route structures adopt the combination of public-key encryption and digital signature schemes and expose minimal route information to hosts. The nested structure can help detect attacks as early as possible. We evaluated the various models both analytically and empirically.

  4. [Dynamic changes of the relationships between economic growth and environmental pressure in Gansu Province: a structural decomposition analysis].

    Science.gov (United States)

    Zhang, Zi-Long; Chen, Xing-Peng; Yang, Jing; Xue, Bing; Li, Yong-Jin

    2010-02-01

    Based on the ideology of macro environmental economics, a function of environmental pressure represented by pollutant emission was built, and the relative importance of the driving factors in the dynamic changes of the relationships between economic growth and environmental pressure in Gansu Province in 1990 - 2005 was analyzed by using structural decomposition analysis (SDA) model combining with 'refined Laspeyres' method. In the study period, the environmental pressure in the Province was mainly caused by the emission of waste gases and solids in the process of economic growth, and showed a rapid increasing trend at the late stage of the period. Population factor had less impact on the increase of this environmental pressure, while economic growth factor had obvious impact on it. Technological progress did mitigate, but could not offset the impact of economic growth factor, and the impacts of economic growth and technological factors on the environmental pressure differed with the kinds of pollutants.

  5. The contemporary dynamics of Sino-Indian relations: Examining maritime security, economics, energy and elite dialogue

    Science.gov (United States)

    Athwal, Amardeep

    This dissertation examines the modern-day dynamics of the Sino-Indian relationship---with a particular focus on issues relating to maritime security, economics, energy and elite bilateral dialogue. In exploring the contemporary nature of the Sino-Indian relationship, the dissertation also seeks to assess the accuracy of predominant neorealist accounts of the Sino-Indian relationship. Since the 1962 Sino-Indian War, most analysts have continued to emphasize the conflictual and competitive elements within the Sino-Indian relationship. The dissertation first explores the crucial post-independence history of Sino-Indian relations to provide the appropriate contextual background (chapter one). Thereafter, the dissertation explores the geopolitical significance of the Indian Ocean in light of soaring (global) energy demands. This then leads into an analysis of China and India's naval modernization and China's strategic partnership with Pakistan and Myanmar (chapter two). While acknowledging the credibility of neorealist insights in the realm of maritime security by detailing China and India's naval buildup and naval strategy, overall, it is found that the security dilemma argument is overstated. There is both a lack of threat perception and the existence of alternate explanations for both Chinese and Indian activities in Southern Asia. The dissertation then moves on to explore the positive elements within the Sino-Indian relationship---growing economic interdependence, energy convergence and elite consensus. In the economic realm (chapter three) it is found that Sino-Indian bilateral trade is increasingly being framed institutionally and rapidly expanding every year. The areas where the Sino-Indian economic relationship could be fruitfully expanded are traced and the great potential of bilateral trade is discussed. Thereafter, the dissertation highlights how China and India are beginning to coordinate energy policy (chapter four) as well as the growing political will

  6. THE IMPACT OF THE ECONOMIC CRISIS ON THE DYNAMIC OF INTERNATIONAL FDI

    Directory of Open Access Journals (Sweden)

    Lenuţa Carp

    2012-03-01

    Full Text Available FDI flows are internationally recognized for the benefits they generate (technological transfer, know – how, industrial reorganization, raising the number of working places. Foreign capitals increased significantly under the impact of globalization and accelerated the interdependencies between economies up to 2007, but, in the current crisis, the dynamic of FDI flows was affected in a negative manner, both in developed economies and in the developing ones. The aim of this paper is to reveal and analyze the evolution of FDI flows in the period 2007 – 2010, emphasizing the strong impact that economic crisis exerts. The results of the analysis presents the descending trend up to 2009, since 2010 being noticed a slight recovery which continued in the first trimester of 2011 and according to the forecasts will continue in the future.

  7. Intelligent Anti Misoperation System for Power Grid Dispatching of Regions and Counties

    Science.gov (United States)

    Ji, Yuan; Zhang, Yunju; Zhou, Siming; Wang, Xiangdong; Ma, Jianwei

    2018-01-01

    With the power system of large capacity, large units, high voltage development trend, dispatching operations becoming more frequent, complex, and probability of mistakes are increasing. For the existing grid dispatching integrated system loss of anti-error function, single dispatching function, low efficiency, according to the existing conditions of Anshun Power Supply Bureau, the Intelligent anti misoperation system for power grid dispatching of regions and counties is designed, introduced the technologies such as the intelligent anti misoperation analysis, automatic process control, and interactive constraint, the system has the advantages of scientific, reasonable and efficient, and providing the technical support for anti misoperation of regions and counties.

  8. Dynamic relationships between oil revenue, government spending and economic growth in Oman

    Directory of Open Access Journals (Sweden)

    Ahmad Hassan Ahmad

    2015-07-01

    Full Text Available This paper investigates the short-run and long-run relationships between three main macroeconomic variables in Oman using the Johansen multivariate co-integration techniques as well as the stationary VAR for the period between 1971 and 2013. The results indicate that there is a long-run relationship between these three macroeconomic variables; the real GDP, the real government expenditure and the real oil revenues. The estimated coefficients for the real oil revenues and the real government expenditure are correctly signed and statistically significant at 5% level. Both variables depict positive relationship with GDP which are 0.672 and 0.872 respectively. The impulse response functions and the variance decomposition from the stationary VAR show that these variables are very important to the short-run dynamics of the Omani economy. Overall, government expenditure appears to be the main source for economic growth in long-run, and in short run variations in government expenditure are generally derived by oil revenue shocks. Therefore, the volatility in oil revenue requires public expenditure management reforms and the need to diversify income sources in order to enhance economic stability and growth.

  9. Water security, risk and economic growth: lessons from a dynamical systems model

    Science.gov (United States)

    Dadson, Simon; Hall, Jim; Garrick, Dustin; Sadoff, Claudia; Grey, David; Whittington, Dale

    2016-04-01

    Investments in the physical infrastructure, human capital, and institutions needed for water resources management have been a noteworthy feature in the development of most civilisations. These investments affect the economy in two distinct ways: (i) by improving the factor productivity of water in multiple sectors of the economy, especially those that are water intensive such as agriculture and energy; and (ii) by reducing the acute and chronic harmful effects of water-related hazards like floods, droughts, and water-related diseases. The need for capital investment to mitigate these risks in order to promote economic growth is widely acknowledged, but prior work to conceptualise the relationship between water-related risks and economic growth has focused on the productive and harmful roles of water in the economy independently. Here the two influences are combined using a simple, dynamical model of water-related investment, risk, and growth at the national level. The model suggests the existence of a context-specific threshold above which growth proceeds along an 'S'-curve. In many cases there is a requirement for initial investment in water-related assets to enable growth. Below the threshold it is possible for a poverty trap to arise. The presence and location of the poverty trap is context-specific and depends on the relative exposure of productive water-related assets to risk, compared with risks faced by assets in the wider economy. Exogenous changes in the level of water-related risk (through, for example, climate and land cover change) can potentially push an economy away from a growth path towards a poverty trap. These results illustrate the value of accounting for environmental risk in models of economic growth and may offer guidance in the design of robust policies for investment in water-related productive assets to manage risk, particularly in the face of global and regional environmental change.

  10. Equivalences in Biological and Economical Systems: Peloton Dynamics and the Rebound Effect.

    Directory of Open Access Journals (Sweden)

    Hugh Trenchard

    Full Text Available An interdisciplinary bridge is proposed between principles of collective behavior in biological systems, particularly bicycle pelotons, and the economic phenomenon called the rebound effect. Two main equivalencies are proposed between aspects of peloton dynamics and aspects of energy service efficiencies and the rebound effect. Firstly, a threshold whereby weaker cyclists, up to maximal capacities, sustain speeds of pacesetters by drafting; equivalent to a threshold whereby consumers will not exceed maximum allocated budgets for energy services, costs for which are externally determined. Secondly, a threshold of peloton dynamics whereby, below this threshold, weaker cyclists share costly non-drafting positions, whereas above this threshold cyclists cannot share these positions but can sustain pacesetter speeds. This is in turn equivalent to the threshold in the context of energy service efficiency, whereby consumers will increase spending to the limit indicated by the rebound magnitude but not to their maximum allocated budgets. These thresholds are a consequence of the model equations, and the latter threshold is explained by consumer apprehension that existing energy efficiencies could disappear or be negative, when consumers would be over budget. This partly explains long term rebound increase, whereby consumers increase consumption as confidence rises that cost savings due to energy service efficiency is stable.

  11. Equivalences in Biological and Economical Systems: Peloton Dynamics and the Rebound Effect.

    Science.gov (United States)

    Trenchard, Hugh; Perc, Matjaz

    2016-01-01

    An interdisciplinary bridge is proposed between principles of collective behavior in biological systems, particularly bicycle pelotons, and the economic phenomenon called the rebound effect. Two main equivalencies are proposed between aspects of peloton dynamics and aspects of energy service efficiencies and the rebound effect. Firstly, a threshold whereby weaker cyclists, up to maximal capacities, sustain speeds of pacesetters by drafting; equivalent to a threshold whereby consumers will not exceed maximum allocated budgets for energy services, costs for which are externally determined. Secondly, a threshold of peloton dynamics whereby, below this threshold, weaker cyclists share costly non-drafting positions, whereas above this threshold cyclists cannot share these positions but can sustain pacesetter speeds. This is in turn equivalent to the threshold in the context of energy service efficiency, whereby consumers will increase spending to the limit indicated by the rebound magnitude but not to their maximum allocated budgets. These thresholds are a consequence of the model equations, and the latter threshold is explained by consumer apprehension that existing energy efficiencies could disappear or be negative, when consumers would be over budget. This partly explains long term rebound increase, whereby consumers increase consumption as confidence rises that cost savings due to energy service efficiency is stable.

  12. Transforming Healthcare Delivery: Integrating Dynamic Simulation Modelling and Big Data in Health Economics and Outcomes Research.

    Science.gov (United States)

    Marshall, Deborah A; Burgos-Liz, Lina; Pasupathy, Kalyan S; Padula, William V; IJzerman, Maarten J; Wong, Peter K; Higashi, Mitchell K; Engbers, Jordan; Wiebe, Samuel; Crown, William; Osgood, Nathaniel D

    2016-02-01

    In the era of the Information Age and personalized medicine, healthcare delivery systems need to be efficient and patient-centred. The health system must be responsive to individual patient choices and preferences about their care, while considering the system consequences. While dynamic simulation modelling (DSM) and big data share characteristics, they present distinct and complementary value in healthcare. Big data and DSM are synergistic-big data offer support to enhance the application of dynamic models, but DSM also can greatly enhance the value conferred by big data. Big data can inform patient-centred care with its high velocity, volume, and variety (the three Vs) over traditional data analytics; however, big data are not sufficient to extract meaningful insights to inform approaches to improve healthcare delivery. DSM can serve as a natural bridge between the wealth of evidence offered by big data and informed decision making as a means of faster, deeper, more consistent learning from that evidence. We discuss the synergies between big data and DSM, practical considerations and challenges, and how integrating big data and DSM can be useful to decision makers to address complex, systemic health economics and outcomes questions and to transform healthcare delivery.

  13. Dynamic Simulation and Exergo-Economic Optimization of a Hybrid Solar–Geothermal Cogeneration Plant

    Directory of Open Access Journals (Sweden)

    Francesco Calise

    2015-04-01

    Full Text Available This paper presents a dynamic simulation model and a parametric analysis of a solar-geothermal hybrid cogeneration plant based on an Organic Rankine Cycle (ORC powered by a medium-enthalpy geothermal resource and a Parabolic Trough Collector solar field. The fluid temperature supplying heat to the ORC varies continuously as a function of the solar irradiation, affecting both the electrical and thermal energies produced by the system. Thus, a dynamic simulation was performed. The ORC model, developed in Engineering Equation Solver, is based on zero-dimensional energy and mass balances and includes specific algorithms to evaluate the off-design system performance. The overall simulation model of the solar-geothermal cogenerative plant was implemented in the TRNSYS environment. Here, the ORC model is imported, whereas the models of the other components of the system are developed on the basis of literature data. Results are analyzed on different time bases presenting energetic, economic and exergetic performance data. Finally, a rigorous optimization has been performed to determine the set of system design/control parameters minimizing simple payback period and exergy destruction rate. The system is profitable when a significant amount of the heat produced is consumed. The highest irreversibilities are due to the solar field and to the heat exchangers.

  14. Polygeneration system based on PEMFC, CPVT and electrolyzer: Dynamic simulation and energetic and economic analysis

    International Nuclear Information System (INIS)

    Calise, Francesco; Figaj, Rafal Damian; Massarotti, Nicola; Mauro, Alessandro; Vanoli, Laura

    2017-01-01

    Highlights: • A novel polygeneration system is presented. • System includes CPVT collectors, PEM fuel cell, absorption chiller and electrolyzer. • The system provides heating/cooling, domestic hot water, electricity, hydrogen and oxygen. • The system simple payback period is 12.5 years, 5.8 years in case of incentive. • The optimal fuel cell nominal power results 100 kW. - Abstract: This paper presents a dynamic simulation model and an energetic and economic analysis of novel polygeneration system. The system integrates: cogenerative Proton Exchange Membrane Fuel Cell (PEMFC), Concentrated PhotoVoltaic-Thermal (CPVT) collectors, alkaline electrolyzer and single-stage LiBr/H 2 O absorption chiller. The plant is designed to supply electrical energy, space heating or cooling and domestic hot water for a small university building. The system produces hydrogen and oxygen, the first one is stored and then it is supplied to the fuel cell, while the second one is sold. The electrolyzer system is powered only by the CPVT collectors, only a small amount of the solar electrical energy is available to the user. Such electric energy along with the one produced by the PEM fuel cell are used by the user and/or supplied to the grid. The system is designed and dynamically simulated using TRNSYS software package. This study is based on a model previously developed by the authors. In particular, the system was modified in order to implement the new components (CPVT, alkaline electrolyzer, hydrogen and oxygen system) in this work. Special attention is paid to the control strategy of the proposed system in order to achieve the optimal system configuration. Daily, weekly and yearly results carried out with the dynamic simulation are presented. Finally, a sensitivity analysis was performed in order to determine the system performance as a function of the main design parameters. The energetic and economic analysis shows that the system can ensure significant energy savings and

  15. The main trends of dynamics of incomes of Russians in times of economic crisis

    Directory of Open Access Journals (Sweden)

    O. L. Petryakova

    2016-01-01

    Full Text Available A research objective which result was this article is the analysis of dynamics of the income of families during the last economic crisis in Russia and influence of change of the standard of living on performance by a family of the main functions, first of all reproductive, zhizneokhranitelny and educational. Now quite steady growth of birth rate, improvement of the indicators characterizing family trouble (refusals of the born children, deprivation of the parental rights, deviant behavior of children and teenagers and health of children and teenagers is observed, however, as a result of decrease in the standard of living, increase in employment of parents, violation of this favorable tendency is possible. The research is based on the analysis of statistical and sociological information, including results of polls of the population, in him the research of ranks of dynamics, graphic and tabular methods is applied. In article sources of the income of the population, first of all – the salary and social payments exerting the greatest impact on the level of the income in general are considered. On the basis of the carried-out analysis the main tendencies characterizing extent of fall of the income of families with children proceeding from this research are formulated, it is possible to speak about increase of needs of families in measures of economic support. However, at the same time becomes the negative moment on the one hand, extremely low knowledge of families of already available measures of such help, and with another – their low assessment and unwillingness to participate in these or those programs offered by the state. In turn it is the factor worsening financial position of families too. High prosperity, material security still (as well as the 90th years, as well as at the beginning of this century are on an equal basis with a family and children the leading value of Russians. It is connected, first of all

  16. The economic and environmental value of genetic improvements in fattening pigs: An integrated dynamic model approach.

    Science.gov (United States)

    Niemi, J K; Sevón-Aimonen, M-L; Stygar, A H; Partanen, K

    2015-08-01

    The selection of animals for improved performance affects the profitability of pig fattening and has environmental consequences. The goal of this paper was to examine how changes in genetic and market parameters impact the biophysical (feeding patterns, timing of slaughter, nitrogen excretion) and economic (return per pig space unit) results describing pig fattening in a Finnish farm. The analysis can be viewed as focusing on terminal line breeding goals. An integrated model using recursive stochastic dynamic programming and a biological pig growth model was used to estimate biophysical results and economic values. Combining these models allowed us to provide more accurate estimates for the value of genetic improvement and, thus, provide better feedback to animal breeding programs than the traditional approach, which is based on fixed management patterns. Besides the benchmark scenario, the results were simulated for 5 other scenarios. In each scenario, genotype was improved regarding daily growth potential, carcass lean meat content, or the parameters of the Gompertz growth curve (maturing rate [], adult weight of protein [α], and adult weight of lipid mass []). The change in each parameter was equal to approximately 1 SD genetic improvement (ceteris paribus). Increasing , , daily growth potential, or carcass lean meat content increased the return on pig space unit by €12.60, €7.60, €4.10, or €2.90 per year, respectively, whereas an increase in decreased the return by €3.10. The genetic improvement in and resulted in the highest decrease in nitrogen excretion calculated in total or per kilogram of carcass gain but only under the optimal feeding pattern. Simulated changes in the Gompertz growth function parameters imply greater changes in ADG and lean meat content than changes in scenarios focusing on improving ADG and lean meat content directly. The economic value of genetic improvements as well as the quantity of nitrogen excreted during the fattening

  17. Space-time wind speed forecasting for improved power system dispatch

    KAUST Repository

    Zhu, Xinxin

    2014-02-27

    To support large-scale integration of wind power into electric energy systems, state-of-the-art wind speed forecasting methods should be able to provide accurate and adequate information to enable efficient, reliable, and cost-effective scheduling of wind power. Here, we incorporate space-time wind forecasts into electric power system scheduling. First, we propose a modified regime-switching, space-time wind speed forecasting model that allows the forecast regimes to vary with the dominant wind direction and with the seasons, hence avoiding a subjective choice of regimes. Then, results from the wind forecasts are incorporated into a power system economic dispatch model, the cost of which is used as a loss measure of the quality of the forecast models. This, in turn, leads to cost-effective scheduling of system-wide wind generation. Potential economic benefits arise from the system-wide generation of cost savings and from the ancillary service cost savings. We illustrate the economic benefits using a test system in the northwest region of the United States. Compared with persistence and autoregressive models, our model suggests that cost savings from integration of wind power could be on the scale of tens of millions of dollars annually in regions with high wind penetration, such as Texas and the Pacific northwest. © 2014 Sociedad de Estadística e Investigación Operativa.

  18. Dispatchable hydrogen production at the forecourt for electricity grid balancing

    Science.gov (United States)

    Rahil, Abdulla; Gammon, Rupert; Brown, Neil

    2017-02-01

    The rapid growth of renewable energy (RE) generation and its integration into electricity grids has been motivated by environmental issues and the depletion of fossil fuels. For the same reasons, an alternative to hydrocarbon fuels is needed for vehicles; hence the anticipated uptake of electric and fuel cell vehicles. High penetrations of RE generators with variable and intermittent output threaten to destabilise electricity networks by reducing the ability to balance electricity supply and demand. This can be greatly mitigated by the use of energy storage and demand-side response (DSR) techniques. Hydrogen production by electrolysis is a promising option for providing DSR as well as an emission-free vehicle fuel. Tariff structures can be used to incentivise the operating of electrolysers as controllable (dispatchable) loads. This paper compares the cost of hydrogen production by electrolysis at garage forecourts under both dispatchable and continuous operation, while ensuring no interruption of fuel supply to fuel cell vehicles. An optimisation algorithm is applied to investigate a hydrogen refueling station in both dispatchable and continuous operation. Three scenarios are tested to see whether a reduced off-peak electricity price could lower the cost of electrolytic hydrogen. These scenarios are: 1) "Standard Continuous", where the electrolyser is operated continuously on a standard all-day tariff of 12p/kWh; 2) "Off-peak Only", where it runs only during off-peak periods in a 2-tier tariff system at the lower price of 5p/kWh; and 3) "2-Tier Continuous", operating continuously and paying a low tariff at off- peak times and a high tariff at other times. This study uses the Libyan coastal city of Derna as a case study. The cheapest electricity cost per kg of hydrogen produced was £2.8, which occurred in Scenario 2. The next cheapest, at £5.8 - £6.3, was in Scenario 3, and the most expensive was £6.8/kg in Scenario 1.

  19. Social mechanisms of development and dynamics of economism and commercialization of Ukrainian higher education

    Directory of Open Access Journals (Sweden)

    M. V. Strigul

    2017-04-01

    Full Text Available The majority of respondents in fact doesn’t understand the concept of «economism», doesn’t consider the need for University to take part in the entrepreneurial activity and doesn’t recognize the need for the existence of the elements of the business structures in the higher education institutions. The University lost its primary purpose and becomes a huge supermarket, which offers various types of knowledge. Rational action is the desire to buy the most qualitative product – a diploma from a prestigious University, which can be successfully converted to the official and economic status. All this leads to the emergence of the Ukrainian form of commercialization, which differs from the Western one. Its significant difference lies in the bias, focus on profit, consumerism as a type of a consumer behavior. It has been mentioned in the article that in the educational system the principles of consumerism moved to the introduction of fees for various additional services (training, courses, testing classes, tests, etc.. The study of economism and the commercialization in the Ukrainian educational system is characterized by a peculiar relevance as it raises the issue of the dynamics and development of the modernization and transformation of the modern higher education. Commercialization is caused by a number of obstacles. The prioritative and harmonious development of the education system can be done only by the expense of state budget financing. In such circumstances, the University becomes a business entity for the provision of educational services. The attention in the article has been drawn to the nature and characteristics of the commercialization and economism. It has been noted that the state education policy as an integral part of social policy is one of the tools of state influence on the formation of social structures and is aimed at solving problems of societal level. This makes sociological examination of transformation processes in

  20. Dynamic analysis of once-through and closed fuel cycle economics using Monte Carlo simulation

    Energy Technology Data Exchange (ETDEWEB)

    Choi, Sungyeol, E-mail: csy@kaeri.re.kr; Lee, Hyo Jik, E-mail: hyojik@kaeri.re.kr; Ko, Won Il, E-mail: nwiko@kaeri.re.kr

    2014-10-01

    Highlights: • Dynamic behavior of system costs, both reactor and fuel cycle costs, is analyzed. • Relative economics of once-through and closed fuel cycles is explored. • Probabilistic approaches are adopted for levelized electricity generation costs. • Main cost drivers for cost gaps between once-through and closed cycles are identified. - Abstract: Although no consensus about the best approach to manage spent fuels has been achieved, economics is one of the major criteria for assessing and selecting acceptable management options. This study compares the reactor and fuel cycle costs of the closed system associated with sodium-cooled fast reactors and pyroprocessing versus the once-through system. We specifically investigated the fuel cycle transition cases of the Republic of Korea from 2013 to 2100. The results revealed that the closed system (34.00 mills/kWh as a mean value) could be more expensive than the once-through system (32.75 mills/kWh). In contrast, the once-through fuel cycle costs (8.31 mills/kWh), excluding reactor costs, were projected to be greater than the closed fuel cycle costs (7.77 mills/kWh) because of the increased costs of interim storage estimated by the Korean government and the limited contribution of backend fuel cycle components to the discounted costs. The capital cost of sodium-cooled fast reactor is the largest component contributing to the cost gap between the two systems. Among fuel cycle components, pyroprocessing has the largest uncertainty contribution to the cost gap. We also calculated the breakeven unit costs of SFR capital cost and PWR spent fuel pyroprocessing cost.

  1. Long-term and Short-term dynamics of the Economic System according to Method of System Potential.

    OpenAIRE

    Grigorii Pushnoi

    2005-01-01

    The new method of system dynamics, Method of System Potential (MSP), is applied for examination of long-term and short-term dynamics of Economic System. According to MSP two ways of long-term development of a system exist: (1) cyclical and (2) noncyclical dynamics of efficiency index of a system is possible. The cyclical type of development is based on periodical renewal of a system while the noncyclical way means that the system stagnate. Innovative processes are intensively stimulated in fi...

  2. Long-term and Short-term Dynamics of the Economic System According to Method of Systems Potential (english version).

    OpenAIRE

    Grigorii Pushnoi

    2005-01-01

    The new method of system dynamics, Method of System Potential (MSP), is applied for examination of long-term and short-term dynamics of the Economic System. According to MSP two ways of long-term development of a system exist: (1) cyclical and (2) noncyclical dynamics of efficiency index of a system is possible. The cyclical type of development is based on periodical renewal of a system while the noncyclical way means that the system stagnate. Innovative processes are intensively stimulated i...

  3. Performance evaluation of family-based dispatching in small manufacturing cells

    NARCIS (Netherlands)

    Bokhorst, J. A. C.; Nomden, G.; Slomp, J.

    2008-01-01

    In many practical instances, the choice of whether to apply family-based dispatching or not can be decided per machine. The present paper explores the impact of the location of family-based dispatching, load variations between machines and routing of jobs on the flow time effect of family-based

  4. A Reactive Power Dispatch Strategy with Loss Minimization for a DFIG Based Wind Farm

    DEFF Research Database (Denmark)

    Zhang, Baohua; Hou, Peng; Hu, Weihao

    2016-01-01

    An optimal reactive power dispatch strategy is proposed to minimize the total electrical losses of a Wind Farm (WF), including not only losses in the transmission cables and Wind Turbine (WT) transformers, but also losses inside wind energy generation systems. The reactive power dispatch inside a...

  5. A train dispatching model based on fuzzy passenger demand forecasting during holidays

    Directory of Open Access Journals (Sweden)

    Fei Dou Dou

    2013-03-01

    Full Text Available Abstract: Purpose: The train dispatching is a crucial issue in the train operation adjustment when passenger flow outbursts. During holidays, the train dispatching is to meet passenger demand to the greatest extent, and ensure safety, speediness and punctuality of the train operation. In this paper, a fuzzy passenger demand forecasting model is put up, then a train dispatching optimization model is established based on passenger demand so as to evacuate stranded passengers effectively during holidays. Design/methodology/approach: First, the complex features and regularity of passenger flow during holidays are analyzed, and then a fuzzy passenger demand forecasting model is put forward based on the fuzzy set theory and time series theory. Next, the bi-objective of the train dispatching optimization model is to minimize the total operation cost of the train dispatching and unserved passenger volume during holidays. Finally, the validity of this model is illustrated with a case concerned with the Beijing-Shanghai high-speed railway in China. Findings: The case study shows that the fuzzy passenger demand forecasting model can predict outcomes more precisely than ARIMA model. Thus train dispatching optimization plan proves that a small number of trains are able to serve unserved passengers reasonably and effectively. Originality/value: On the basis of the passenger demand predictive values, the train dispatching optimization model is established, which enables train dispatching to meet passenger demand in condition that passenger flow outbursts, so as to maximize passenger demand by offering the optimal operation plan.

  6. Validity of helicopter emergency medical services dispatch criteria for traumatic injuries: A systematic review

    NARCIS (Netherlands)

    A.N. Ringburg (Akkie); G. de Ronde (Gijs); S. Thomas (Siep); E.M.M. van Lieshout (Esther); P. Patka (Peter); I.B. Schipper (Inger)

    2009-01-01

    textabstractObjective. This review provides an overview of the validity of Helicopter Emergency Medical Services (HEMS) dispatch criteria for severely injured patients. Methods. A systematic literature search was performed. English written and peer-reviewed publications on HEMS dispatch criteria

  7. The delivery dispatching problem with time windows for urban consolidation centers

    NARCIS (Netherlands)

    van Heeswijk, W.J.A.; Mes, Martijn R.K.; Schutten, Johannes M.J.

    2017-01-01

    This paper addresses the dispatching problem faced by an urban consolidation center. The center receives orders according to a stochastic arrival process and dispatches them in batches for the last-mile distribution. The operator of the center aims to find the cost-minimizing consolidation policy,

  8. The delivery dispatching problem with time windows for urban consolidation centers

    NARCIS (Netherlands)

    van Heeswijk, W.J.A.; Mes, Martijn R.K.; Schutten, Johannes M.J.

    2015-01-01

    This paper addresses the dispatch decision problem faced by an urban consolidation center. The center receives orders according to a stochastic arrival process, and dispatches them for the last-mile distribution in batches. The operator of the center aims to fi nd the cost-minimizing consolidation

  9. A Method for Robust Strategic Railway Dispatch Applied to a Single Track Line

    DEFF Research Database (Denmark)

    Harrod, Steven

    2013-01-01

    A method is presented for global optimization of a dispatch plan assuming perfect information over a given time horizon. An example problem is solved for the North American case of a single dominant high-speed train sharing a network with a majority flow of slower trains. Initial dispatch priority...

  10. The dynamics of household dissolution and change in socio-economic position: A survival model in a rural South Africa.

    Science.gov (United States)

    Sartorius, Kurt; Sartorius, Benn Kd; Collinson, Mark A; Tollman, Stephen M

    2014-11-02

    This paper investigates household dissolution and changes in asset wealth (socio-economic position) in a rural South African community containing settled refugees. Survival analysis applied to a longitudinal dataset indicated that the covariates increasing the risk of forced household dissolution were a reduction in socio-economic position (asset wealth), adult deaths and the permanent outmigration of more than 40% of the household. Conversely, the risk of dissolution was reduced by bigger households, state grants and older household heads. Significant spatial clusters of former refugee villages also showed a higher risk of dissolution after 20 years of permanent residence. A discussion of the dynamics of dissolution showed how an outflow/inflow of household assets (socio-economic position) was precipitated by each of the selected covariates. The paper shows how an understanding of the dynamics of forced household dissolution, combined with the use of geo-spatial mapping, can inform inter-disciplinary policy in a rural community.

  11. Causal Dynamic Relationships between Political–Economic Factors and Export Performance in the Renewable Energy Technologies Market

    Directory of Open Access Journals (Sweden)

    Bongsuk Sung

    2018-04-01

    Full Text Available This study explores how political–economic forces could affect export performance in the renewable energy technologies market. We conduct panel framework analyses to verify the characteristics of panel data for 19 countries before establishing the panel estimator meant to test the effects of political–economic forces on export specialization. We consider the results of the panel framework analyses and develop an empirical model to test casual dynamic relationships between political–economic forces and export performance. The results from the least squares dummy variable-corrected estimation indicate that the major factors promoting the export specialization of renewable energy technologies are, in order of decreasing importance, public pressure, market size, and government demand-pull policy. However, the traditional energy industry has no significant effect on export performance. Finally, this study finds that dynamic effects exist in all estimations.

  12. Bayesian estimation and entropy for economic dynamic stochastic models: An exploration of overconsumption

    International Nuclear Information System (INIS)

    Argentiero, Amedeo; Bovi, Maurizio; Cerqueti, Roy

    2016-01-01

    This paper examines psycho-induced overconsumption in a dynamic stochastic context. As emphasized by well-established psychological results, these psycho-distortions derive from a decision making based on simple rules-of-thumb, not on analytically sounded optimizations. To our end, we therefore compare two New Keynesian models. The first is populated by optimizing Muth-rational agents and acts as the normative benchmark. The other is a “psycho-perturbed” version of the benchmark that allows for the potential presence of overoptimism and, hence, of overconsumption. The parameters of these models are estimated through a Bayesian-type procedure, and performances are evaluated by employing an entropy measure. Such methodologies are particularly appropriate here since they take in full consideration the complexity generated by the randomness of the considered systems. In particular, they let to derive a not negligible information on the size and on the cyclical properties of the biases. In line with cognitive psychology suggestions our evidence shows that the overoptimism/overconsumption is: widespread—it is detected in nation-wide data; persistent—it emerges in full-sample estimations; it moves according to the expected cyclical behavior—larger in booms, and it disappears in crises. Moreover, by taking into account the effect of these psycho-biases, the model fits actual data better than the benchmark. All considered, then, enhancing the existing literature our findings: i) sustain the importance of inserting psychological distortions in macroeconomic models and ii) underline that system dynamics and psycho biases have statistically significant and economically important connections.

  13. Active and Reactive Power Optimal Dispatch Associated with Load and DG Uncertainties in Active Distribution Network

    Science.gov (United States)

    Gao, F.; Song, X. H.; Zhang, Y.; Li, J. F.; Zhao, S. S.; Ma, W. Q.; Jia, Z. Y.

    2017-05-01

    In order to reduce the adverse effects of uncertainty on optimal dispatch in active distribution network, an optimal dispatch model based on chance-constrained programming is proposed in this paper. In this model, the active and reactive power of DG can be dispatched at the aim of reducing the operating cost. The effect of operation strategy on the cost can be reflected in the objective which contains the cost of network loss, DG curtailment, DG reactive power ancillary service, and power quality compensation. At the same time, the probabilistic constraints can reflect the operation risk degree. Then the optimal dispatch model is simplified as a series of single stage model which can avoid large variable dimension and improve the convergence speed. And the single stage model is solved using a combination of particle swarm optimization (PSO) and point estimate method (PEM). Finally, the proposed optimal dispatch model and method is verified by the IEEE33 test system.

  14. Influence of dispatching rules on average production lead time for multi-stage production systems.

    Science.gov (United States)

    Hübl, Alexander; Jodlbauer, Herbert; Altendorfer, Klaus

    2013-08-01

    In this paper the influence of different dispatching rules on the average production lead time is investigated. Two theorems based on covariance between processing time and production lead time are formulated and proved theoretically. Theorem 1 links the average production lead time to the "processing time weighted production lead time" for the multi-stage production systems analytically. The influence of different dispatching rules on average lead time, which is well known from simulation and empirical studies, can be proved theoretically in Theorem 2 for a single stage production system. A simulation study is conducted to gain more insight into the influence of dispatching rules on average production lead time in a multi-stage production system. We find that the "processing time weighted average production lead time" for a multi-stage production system is not invariant of the applied dispatching rule and can be used as a dispatching rule independent indicator for single-stage production systems.

  15. Optimal Dispatching of Active Distribution Networks Based on Load Equilibrium

    Directory of Open Access Journals (Sweden)

    Xiao Han

    2017-12-01

    Full Text Available This paper focuses on the optimal intraday scheduling of a distribution system that includes renewable energy (RE generation, energy storage systems (ESSs, and thermostatically controlled loads (TCLs. This system also provides time-of-use pricing to customers. Unlike previous studies, this study attempts to examine how to optimize the allocation of electric energy and to improve the equilibrium of the load curve. Accordingly, we propose a concept of load equilibrium entropy to quantify the overall equilibrium of the load curve and reflect the allocation optimization of electric energy. Based on this entropy, we built a novel multi-objective optimal dispatching model to minimize the operational cost and maximize the load curve equilibrium. To aggregate TCLs into the optimization objective, we introduced the concept of a virtual power plant (VPP and proposed a calculation method for VPP operating characteristics based on the equivalent thermal parameter model and the state-queue control method. The Particle Swarm Optimization algorithm was employed to solve the optimization problems. The simulation results illustrated that the proposed dispatching model can achieve cost reductions of system operations, peak load curtailment, and efficiency improvements, and also verified that the load equilibrium entropy can be used as a novel index of load characteristics.

  16. DYNAMIC MODEL FOR THE ECONOMIC EVALUATION OF THE TRACEABILITY OF MEXICAN BEEF MARKET

    Directory of Open Access Journals (Sweden)

    Lucila Herrera Ayala

    2013-12-01

    Full Text Available In order to point out the importance of the implementation of a traceability system in economic terms in the beef meat production activity, for the 2011-2016 period, a dynamic model was created in order to estimate the real value of the cattle inventory and to make projections of the gains and losses obtained in the implementation or not of this system with two possible plausible scenarios that affect the exports and imports. The results indicate that if the exports were increased by 53%, just like it happened in Uruguay with the implementation of this system, gains would increase 8.21% in the yearly average. In the absence of this system and considering the 80% decrease of the exports in the United States, in the presence of the Bovine Spongiform Encephalopathy (BSE losses would increase 9.97% in a yearly average. In both scenarios a change ± of 20% in the imports was considered. Due to the results obtained and in the face of foreseeable conduct of trade, the cost of opportunity of a traceability system results positive.

  17. Solar plus: Optimization of distributed solar PV through battery storage and dispatchable load in residential buildings

    Energy Technology Data Exchange (ETDEWEB)

    O' Shaughnessy, Eric; Cutler, Dylan; Ardani, Kristen; Margolis, Robert

    2018-03-01

    As utility electricity rates evolve, pairing solar photovoltaic (PV) systems with battery storage has potential to ensure the value proposition of residential solar by mitigating economic uncertainty. In addition to batteries, load control technologies can reshape customer load profiles to optimize PV system use. The combination of PV, energy storage, and load control provides an integrated approach to PV deployment, which we call 'solar plus'. The U.S. National Renewable Energy Laboratory's Renewable Energy Optimization (REopt) model is utilized to evaluate cost-optimal technology selection, sizing, and dispatch in residential buildings under a variety of rate structures and locations. The REopt model is extended to include a controllable or 'smart' domestic hot water heater model and smart air conditioner model. We find that the solar plus approach improves end user economics across a variety of rate structures - especially those that are challenging for PV - including lower grid export rates, non-coincident time-of-use structures, and demand charges.

  18. The Dynamics of Socio-Economic Development of Ukraine and its Regions in the Real Sector of Economy

    Directory of Open Access Journals (Sweden)

    Yaroshenko Igor V.

    2017-10-01

    Full Text Available One of the priority directions for structural reforms in Ukraine on the road to European Integration is the reform of decentralization of power and modernization of the system of public administration on the national and local levels, allowing for a more efficient provision of the socio-economic development of both the individual territories and the country as a whole. However, the actual indicators of the socio-economic development of the regions of Ukraine indicate a further increase in the inequality of their development. These tendencies have been particularly accentuated by the socio-political and socio-economic crises that took place in the country during 2014-2015. The publication carries out an analysis of the socio-economic development of the regions of Ukraine during the period of 2014-2017, and assesses the dynamics of socio-economic development of the regions in the real sector of economy. Proposals have been presented to address problematic issues of socio-economic development in the regions of Ukraine in the context of crisis occurrences in the social-political and socio-economic spheres.

  19. Green dynamics as the motor for sustainable welfare. An essay on economic control with regard to the process of sustainability

    International Nuclear Information System (INIS)

    De Vries, J.; Warmenhoven, H.

    2011-03-01

    The core question in this essay is how, in these times of economic turbulence in which ecological awareness is crumbling, we can change the course of our ecological development into a sustainable direction. Chapter 2 - in the light of the economic theory - characterizes sustainability issues as a new type of scarcity. In chapter 3, the analysis broadens towards the new generation of environmental problems that dominate the 21st century. Chapter 4 explores points of action for 'green dynamics': a strategic perspective in which countries and businesses with sustainable ambitions expand their action opportunities to bring the targeted scenario closer. The focus in the final chapter is on the Netherlands in 2011. [nl

  20. Machine concept optimization for pumped-storage plants through combined dispatch simulation for wholesale and reserve markets

    International Nuclear Information System (INIS)

    Engels, Klaus; Harasta, Michaela; Braitsch, Werner; Moser, Albert; Schaefer, Andreas

    2012-01-01

    In Germany's energy markets of today, pumped-storage power plants offer excellent business opportunities due to their outstanding flexibility. However, the energy-economic simulation of pumped-storage plants, which is necessary to base the investment decision on a sound business case, is a highly complex matter since the plant's capacity must be optimized in a given plant portfolio and between two relevant markets: the scheduled wholesale and the reserve market. This mathematical optimization problem becomes even more complex when the question is raised as to which type of machine should be used for a pumped-storage new build option. For the first time, it has been proven possible to simulate the optimum dispatch of different pumped-storage machine concepts within two relevant markets - the scheduled wholesale and the reserve market - thereby greatly supporting the investment decision process. The methodology and findings of a cooperation study between E.ON and RWTH Aachen University in respect of the German pumped-storage extension project 'Waldeck 2+' are described, showing the latest development in dispatch simulation for generation portfolios. (authors)

  1. Dispatchable Hydrogen Production at the Forecourt for Electricity Demand Shaping

    Directory of Open Access Journals (Sweden)

    Abdulla Rahil

    2017-10-01

    Full Text Available Environmental issues and concerns about depletion of fossil fuels have driven rapid growth in the generation of renewable energy (RE and its use in electricity grids. Similarly, the need for an alternative to hydrocarbon fuels means that the number of fuel cell vehicles is also expected to increase. The ability of electricity networks to balance supply and demand is greatly affected by the variable, intermittent output of RE generators; however, this could be relieved using energy storage and demand-side response (DSR techniques. One option would be production of hydrogen by electrolysis powered from wind and solar sources. The use of tariff structures would provide an incentive to operate electrolysers as dispatchable loads. The aim of this paper is to compare the cost of hydrogen production by electrolysis at garage forecourts in Libya, for both dispatchable and continuous operation, without interruption of fuel supply to vehicles. The coastal city of Derna was chosen as a case study, with the renewable energy being produced via a wind turbine farm. Wind speed was analysed in order to determine a suitable turbine, then the capacity was calculated to estimate how many turbines would be needed to meet demand. Finally, the excess power was calculated, based on the discrepancy between supply and demand. The study looked at a hydrogen refueling station in both dispatchable and continuous operation, using an optimisation algorithm. The following three scenarios were considered to determine whether the cost of electrolytic hydrogen could be reduced by a lower off-peak electricity price. These scenarios are: Standard Continuous, in which the electrolyser operates continuously on a standard tariff of 12 p/kWh; Off-peak Only, in which the electrolyser operates only during off-peak periods at the lower price of 5 p/kWh; and 2-Tier Continuous, in which the electrolyser operates continuously on a low tariff at off-peak times and a high tariff at other

  2. The State and Factors of the Economic Dynamics of Mechanical Engineering Enterprises in Ukraine

    Directory of Open Access Journals (Sweden)

    Stadnyk Valentyna V.

    2017-06-01

    Full Text Available The economic dynamics of mechanical engineering enterprises in Ukraine is considered. Steady negative trends in the volumes of production and sales of mechanical engineering products are revealed. The analysis of the export capabilities of the mechanical engineering industry in the context of the main commodity groups showed an increase in the exports of products of the third technological mode, which indicates a decrease in its science intensity. The study of the impact on the state of the industry of general macroeconomic trends, which are reflected in the changes in the Global Competitiveness Index of Ukraine in 2014-2016, demonstrated some improvements in the indicators characterizing the conditions of business management and the results of their innovation activities. With the purpose of assessing the conformity of the directions in innovation activities of enterprises in the industrial sector of Ukraine to the objectives of increasing their innovative potential, there conducted an analysis of the structure of innovation costs, which showed a significant predominance of costs on acquiring equipment, while the implementation of new technologies is carried out mainly on the basis of resource saving and not flexibility; the introduction of product innovations in the market, especially of fundamentally new ones, decreases. The examination of organizational forms of innovation management in mechanical engineering enterprises indicated the lack of complementarity of innovation management and quality management systems, as well as a low level of staff involvement in these improvement processes. The necessity of eliminating these deficiencies in management for increasing the innovative potential of enterprises and achieving cognitive self-sufficiency is underlined. It is noted that the principles underlying modern quality management systems can be used to solve these problems.

  3. Dynamics of wages in the region and the problem of measurement of wages in the context of economic instability

    Directory of Open Access Journals (Sweden)

    S. S. Gordeev

    2010-12-01

    Full Text Available The paper deals with the analysis of current state and basic tendencies in the dynamics of wages. The authors consider the basic contradictions in the context of establishment of the market institution of wages in the subjects of the Russian Federation. The dynamics of wages is appraised on the basis of the tax accounting of the regions. This approach, according to the authors, allows reflecting the current processes in the sphere of remuneration of labor in the context of economic instability more objectively.

  4. Preventable deaths following emergency medical dispatch - an audit study

    DEFF Research Database (Denmark)

    Andersen, Mikkel S; Johnsen, Søren; Hansen, Andreas

    2014-01-01

    an ambulance with lights and sirens by the Emergency Medical Communication Centre (EMCC).MethodsAn audit was performed by an external panel of experienced prehospital consultant anaesthesiologists. The panel focused exclusively on the role of the EMCC, assessing whether same-day deaths among 112 callers could...... have been prevented if the EMCC had assessed the situations as highly urgent. The panels¿ assessments were based on review of patient charts and voice-log recordings of 112 calls. All patient related material was reviewed by the audit panel and all cases where then scored as preventable, potentially......¿100 years) and 45.4% were female. The audit panel found no definitively preventable deaths; however, 18 (11.8%) of the analysed same-day deaths (0.02% of all non-high-acuity callers) were found to be potentially preventable. In 13 of these 18 cases, the dispatch protocol was either not used or not used...

  5. Dispatch and prehospital transport for acute septic patients

    DEFF Research Database (Denmark)

    Pedersen, Peter Bank; Henriksen, Daniel Pilsgaard; Mikkelsen, Søren

    2017-01-01

    with a suboptimal mode of transport. Patients with severe sepsis or septic shock suffer from highly time dependent conditions but they present with a wide range of symptoms, which might be difficult to identify in the dispatch system. The aim of the study is to investigate the modes of prehospital transport among...... acute admitted patients with sepsis, severe sepsis and septic shock. METHODS: We included all adult patients (≥15 years) presenting to an acute medical unit at Odense University Hospital with a first-time admission of community-acquired sepsis between September 2010-August 2011. Cases and prehospital...... (36.3%) had sepsis, 1,071 (62.5%) severe sepsis, and 21 (1.2%) septic shock. In the group of sepsis patients, 390 (62.8%) arrived without public prehospital transport, 197 (31.7%) were transported by ambulance, and 34 (5.5%) were assisted by MECU. In the group of severe sepsis patients, the same...

  6. Decision support system for outage management and automated crew dispatch

    Energy Technology Data Exchange (ETDEWEB)

    Kang, Ning; Mousavi, Mirrasoul

    2018-01-23

    A decision support system is provided for utility operations to assist with crew dispatch and restoration activities following the occurrence of a disturbance in a multiphase power distribution network, by providing a real-time visualization of possible location(s). The system covers faults that occur on fuse-protected laterals. The system uses real-time data from intelligent electronics devices coupled with other data sources such as static feeder maps to provide a complete picture of the disturbance event, guiding the utility crew to the most probable location(s). This information is provided in real-time, reducing restoration time and avoiding more costly and laborious fault location finding practices.

  7. Dispatchable Renewable Energy Model for Microgrid Power System

    Energy Technology Data Exchange (ETDEWEB)

    Chiou, Fred; Gentle, Jake P.; McJunkin, Timothy R.

    2017-04-01

    Over the years, many research projects have been performed and focused on finding out the effective ways to balance the power demands and supply on the utility grid. The causes of the imbalance could be the increasing demands from the end users, the loss of power generation (generators down), faults on the transmission lines, power tripped due to overload, and weather conditions, etc. An efficient Load Frequency Control (LFC) can assure the desired electricity quality provided to the residential, commercial and industrial end users. A simulation model is built in this project to investigate the contribution of the modeling of dispatchable energy such as solar energy, wind power, hydro power and energy storage to the balance of the microgrid power system. An analysis of simplified feedback control system with proportional, integral, and derivative (PID) controller was performed. The purpose of this research is to investigate a simulation model that achieves certain degree of the resilient control for the microgrid.

  8. Consumption Behavior Analytics-Aided Energy Forecasting and Dispatch

    Energy Technology Data Exchange (ETDEWEB)

    Zhang, Yingchen [National Renewable Energy Laboratory (NREL), Golden, CO (United States); Yang, Rui [National Renewable Energy Laboratory (NREL), Golden, CO (United States); Jiang, Huaiguang [National Renewable Energy Laboratory (NREL), Golden, CO (United States); Zhang, Kaiqing [University of Illinois Urbana-Champaign; Zhang, Jun Jason [University of Denver

    2017-08-17

    For decades, electricity customers have been treated as mere recipients of electricity in vertically integrated power systems. However, as customers have widely adopted distributed energy resources and other forms of customer participation in active dispatch (such as demand response) have taken shape, the value of mining knowledge from customer behavior patterns and using it for power system operation is increasing. Further, the variability of renewable energy resources has been considered a liability to the grid. However, electricity consumption has shown the same level of variability and uncertainty, and this is sometimes overlooked. This article investigates data analytics and forecasting methods to identify correlations between electricity consumption behavior and distributed photovoltaic (PV) output. The forecasting results feed into a predictive energy management system that optimizes energy consumption in the near future to balance customer demand and power system needs.

  9. Myocardial infarction: sex differences in symptoms reported to emergency dispatch.

    Science.gov (United States)

    Coventry, Linda L; Bremner, Alexandra P; Jacobs, Ian G; Finn, Judith

    2013-01-01

    Emergency management of myocardial infarction (MI) is time-critical, because improved patient outcomes are associated with reduced time from symptom onset to definitive care. Previous studies have identified that women are less likely to present with chest pain. We sought to measure the effect of sex on symptoms reported to the ambulance dispatch and ambulance times for MI patients. The Western Australia Emergency Department Information System (EDIS) was used to identify patients with emergency department (ED) diagnoses of MI (ST-segment elevation MI and non-ST-segment elevation MI) who arrived by ambulance between January 1, 2008, and October 31, 2009. Their emergency telephone calls to the ambulance service were transcribed to identify presenting symptoms. Ambulance data were used to examine ambulance times. Sex differences were analyzed using descriptive and age-adjusted regression analysis. Of 3,329 MI patients who presented to Perth EDs, 2,100 (63.1%) arrived by ambulance. After predefined exclusions, 1,681 emergency calls were analyzed. The women (n = 621; 36.9%) were older than the men (p differ between the male and female patients with chest pain. The women with chest pain were less likely than the men with chest pain to be allocated a "priority 1" (lights and sirens) ambulance response (men 98.3% vs. women 95.5%; OR = 0.39; 95% CI 0.18, 0.87). Ambulance dispatch officers (and paramedics) need to be aware of potential sex differences in MI presentation in order to ensure appropriate ambulance response.

  10. Operational Strategies for Predictive Dispatch of Control Reserves in View of Stochastic Generation

    DEFF Research Database (Denmark)

    Delikaraoglou, Stefanos; Heussen, Kai; Pinson, Pierre

    2014-01-01

    In view of the predictability and stochasticity of wind power generation, transmission system operators (TSOs) can benefit from predictive dispatch of slow and manual control reserves in order to maintain reactive reserve levels for unpredictable events. While scenario-based approaches...... for stochastic optimization are well suited for this problem, it appears that TSOs are hesitant in adopting this method into their practice of predictive dispatch. Differences in the formulation of constraints and cost functions, the timing and reserve product constraints influence the dispatch result...

  11. Clean Energy Generation and Dispatch in Reformed Wholesale Electricity Markets: Experience in the United States

    Energy Technology Data Exchange (ETDEWEB)

    Zhou, Shengru [National Renewable Energy Laboratory (NREL), Golden, CO (United States); Hurlbut, David J [National Renewable Energy Laboratory (NREL), Golden, CO (United States); Li, Ma [State Grid Energy Research Institute; Fan, Zhang [State Grid Energy Research Institute; Menghua, Fan [State Grid Energy Research Institute; Jing, Li [State Grid Energy Research Institute; Haoyuan, Qu [State Grid Energy Research Institute

    2017-04-01

    In recent years, the US electricity market has undergone several stages of reform, and gradually formed the market where the wholesale electricity price is determined by the supply and demand. The US electricity market also changes along with the rapid development of clean energy, forming a number of the market mechanisms that is specifically developed for clean energy power generation characteristics. On the basis of discussing the pricing mechanism of US electricity market, this paper analyzes the experience and practice of encouraging renewable energy development policy and clean energy dispatch from the angle of market mechanism and dispatching decision, and puts forward the reference for clean energy dispatching in China.

  12. Long and Short Run Dynamics of Agricultural and Petroleum Sectors in the Economic Growth of Nigeria

    Directory of Open Access Journals (Sweden)

    Okunola Akinbode Michael

    2017-06-01

    Full Text Available This study examined the economic relationship among agriculture and petroleum sectors and growth of Nigeria’s economy as well as the effects of these two key sectors on the economic growth. The Bound (ARDL test which was used to examine the long-run relationship among the variables revealed that there is a long-run relationship among agricultural and petroleum sectors and economic growth. In the short run, both sectors have positive significant relationship with the economic growth. While for every 1% change in agricultural productivity there is about 60.89% change on economic growth, petroleum sector had about 37.07% change effect. Thus, agriculture contributes more than the petroleum sector in the short run. In the long-run, both sectors also have positive relationship with economic growth. Agriculture in the long-run also contribute more than the petroleum sector. While a 1% change in agricultural productivity effects a 53.49% increase in economic growth, petroleum sector increases GDP by 43.71%. However, in the long-run, while agriculture is significant at 5%, petroleum sector is significant at 10%. In conclusion, the positive relationship of both sectors with economic growth shows that they are rather economically complimentary than competitive that the actions and inactions of the government have made them look.

  13. Introducing systematic dispatcher-assisted cardiopulmonary resuscitation (telephone-CPR) in a non-Advanced Medical Priority Dispatch System (AMPDS): implementation process and costs.

    Science.gov (United States)

    Dami, Fabrice; Fuchs, Vincent; Praz, Laurent; Vader, John-Paul

    2010-07-01

    In order to improve the quality of our Emergency Medical Services (EMS), to raise bystander cardiopulmonary resuscitation rates and thereby meet what is becoming a universal standard in terms of quality of emergency services, we decided to implement systematic dispatcher-assisted or telephone-CPR (T-CPR) in our medical dispatch center, a non-Advanced Medical Priority Dispatch System. The aim of this article is to describe the implementation process, costs and results following the introduction of this new "quality" procedure. This was a prospective study. Over an 8-week period, our EMS dispatchers were given new procedures to provide T-CPR. We then collected data on all non-traumatic cardiac arrests within our state (Vaud, Switzerland) for the following 12 months. For each event, the dispatchers had to record in writing the reason they either ruled out cardiac arrest (CA) or did not propose T-CPR in the event they did suspect CA. All emergency call recordings were reviewed by the medical director of the EMS. The analysis of the recordings and the dispatchers' written explanations were then compared. During the 12-month study period, a total of 497 patients (both adults and children) were identified as having a non-traumatic cardiac arrest. Out of this total, 203 cases were excluded and 294 cases were eligible for T-CPR. Out of these eligible cases, dispatchers proposed T-CPR on 202 occasions (or 69% of eligible cases). They also erroneously proposed T-CPR on 17 occasions when a CA was wrongly identified (false positive). This represents 7.8% of all T-CPR. No costs were incurred to implement our study protocol and procedures. This study demonstrates it is possible, using a brief campaign of sensitization but without any specific training, to implement systematic dispatcher-assisted cardiopulmonary resuscitation in a non-Advanced Medical Priority Dispatch System such as our EMS that had no prior experience with systematic T-CPR. The results in terms of T-CPR delivery

  14. Probabilistic Optimal Power Dispatch in Multi-Carrier Networked Microgrids under Uncertainties

    Directory of Open Access Journals (Sweden)

    Vahid Amir

    2017-11-01

    Full Text Available A microgrid (MG is a small-scale version of the power system which makes possible the integration of renewable resources as well as achieving maximum demand side management (DSM utilization. The future power system will be faced with severe uncertainties owing to penetration of renewable resources. Consequently, the uncertainty assessment of system performance is essential. The conventional energy scheduling in an MG may not be suitable for active distribution networks. Hence, this study focuses on the probabilistic analysis of optimal power dispatch considering economic aspects in a multi-carrier networked microgrid. The aim is to study the impact of uncertain behavior of loads, renewable resources, and electricity market on the optimal management of a multi-carrier networked microgrid. Furthermore, a novel time-based demand side management is proposed in order to reshape the load curve, as well as preventing the excessive use of energy in peak hours. The optimization model is formulated as a mixed integer nonlinear program (MINLP and is solved using MATLAB and GAMS software. Results show that the energy sharing capability between MCMGs and MCMGs and the main grids as well as utilization of demand side management can decrease operating costs for smart distribution grids.

  15. Resource Symmetric Dispatch Model for Internet of Things on Advanced Logistics

    Directory of Open Access Journals (Sweden)

    Guofeng Qin

    2016-04-01

    Full Text Available Business applications in advanced logistics service are highly concurrent. In this paper, we propose a resource symmetric dispatch model for the concurrent and cooperative tasks of the Internet of Things. In the model, the terminals receive and deliver commands, data, and information with mobile networks, wireless networks, and sensor networks. The data and information are classified and processed by the clustering servers in the cloud service platform. The cluster service, resource dispatch, and load balance are cooperative for management and monitoring of every application case during the logistics service lifecycle. In order to support the high performance of cloud service, resource symmetric dispatch algorithm among clustering servers and load balancing method among multi-cores in one server, including NIO (Non-blocking Input/Output and RMI (Remote Method Invocation are utilized to dispatch the cooperation of computation and service resources.

  16. Dispatching demand response transit service maximizing productivity and service quality guidebook : final report, March 2009.

    Science.gov (United States)

    2009-03-01

    The ability of transit agencies to staff dispatch effectively and use technology to its full advantage is critical : in responding proactively as service changes occur and in making sound routing decisions. Sound routing : decisions result in improve...

  17. Paediatric medical emergency calls to a Danish Emergency Medical Dispatch Centre

    DEFF Research Database (Denmark)

    Andersen, Kasper; Mikkelsen, Søren; Jørgensen, Gitte

    2018-01-01

    BACKGROUND: Little is known regarding paediatric medical emergency calls to Danish Emergency Medical Dispatch Centres (EMDC). This study aimed to investigate these calls, specifically the medical issues leading to them and the pre-hospital units dispatched to the paediatric emergencies. METHODS: We...... records to establish how the medical issues leading to these calls were classified and which pre-hospital units were dispatched to the paediatric emergencies. We analysed the data using descriptive statistics. RESULTS: Of a total of 7052 emergency calls in February 2016, 485 (6.9%) concerned patients ≤ 15...... years. We excluded 19 and analysed the remaining 466. The reported medical issues were commonly classified as: "seizures" (22.1%), "sick child" (18.9%) and "unclear problem" (12.9%). The overall most common pre-hospital response was immediate dispatch of an ambulance with sirens and lights...

  18. CAUSAL RELATIONSHIP BETWEEN ENERGY CONSUMPTION, ECONOMIC GROWTH AND CO2 EMISSIONS: A DYNAMIC PANEL DATA APPROACH

    Directory of Open Access Journals (Sweden)

    Chaido Dritsaki

    2014-04-01

    Full Text Available Energy plays an important role in economic development worldwide. The increase of energy consumption showed that CO2 emissions in the atmosphere have increased dramatically, and these lead many scientists to push governments of the developing countries to take action for the formulation of environmental policies. Many studies have attempted to look for the direction of causality between energy consumption (EC, economic growth (GDP and CO2 emissions mainly on developing countries. This paper, therefore, applies the panel unit root tests, panel cointegration methods and panel causality test to investigate the relationship between energy consumption (EC, economic growth (GDP and CO2 emissions for three countries of Southern Europe (Greece, Spain, and Portugal covering the annual period 1960-2009. The FMOLS and DOLS are then used to estimate the long run relationship between the variables. The findings of this study reveal that there is a short-run bilateral causal link between the examined variables. However, in the long run, there is a unidirectional causality running from CO2 emissions to energy consumption (EC, and economic growth (GDP and a bilateral causality between energy consumption and economic growth. This indicates that energy is a force for economic growth both in short and long run as it is driven from economic growth. Moreover, to face the heterogeneity on the three countries of Southern Europe we use the FMOLS and DOLS estimation methods.

  19. The Economic Geographies of the Outer City: Industrial Dynamics and Imaginary Spaces of Location in Copenhagen

    DEFF Research Database (Denmark)

    Winther, Lars; Hansen, Høgni Kalsø

    2006-01-01

    The paper focuses on the changing economic geographies of the outer city of Copenhagen. The outer city is not a well-defined place but can be understood as a set of processes transforming the urban economic landscape outside the built-up area. Several central and interrelated economic processes...... (of the interviewee representing the firm). They are representations of the perception, experience and interpretation of the location of the firm. The imaginary spaces of firms in the outer city are different from those of the firms in the built-up area, and a survey points to the fact that multiple...

  20. Modeling work of the dispatching service of high-rise building as queuing system

    Science.gov (United States)

    Dement'eva, Marina; Dement'eva, Anastasiya

    2018-03-01

    The article presents the results of calculating the performance indicators of the dispatcher service of a high-rise building as a queuing system with an unlimited queue. The calculation was carried out for three models: with a single control room and brigade of service, with a single control room and a specialized service, with several dispatch centers and specialized services. The aim of the work was to investigate the influence of the structural scheme of the organization of the dispatcher service of a high-rise building on the amount of operating costs and the time of processing and fulfilling applications. The problems of high-rise construction and their impact on the complication of exploitation are analyzed. The composition of exploitation activities of high-rise buildings is analyzed. The relevance of the study is justified by the need to review the role of dispatch services in the structure of management of the quality of buildings. Dispatching service from the lower level of management of individual engineering systems becomes the main link in the centralized automated management of the exploitation of high-rise buildings. With the transition to market relations, the criterion of profitability at the organization of the dispatching service becomes one of the main parameters of the effectiveness of its work. A mathematical model for assessing the efficiency of the dispatching service on a set of quality of service indicators is proposed. The structure of operating costs is presented. The algorithm of decision-making is given when choosing the optimal structural scheme of the dispatching service of a high-rise building.

  1. An Overview of the Automated Dispatch Controller Algorithms in the System Advisor Model (SAM)

    Energy Technology Data Exchange (ETDEWEB)

    DiOrio, Nicholas A [National Renewable Energy Lab. (NREL), Golden, CO (United States)

    2017-11-22

    Three automatic dispatch modes have been added to the battery model within the System Adviser Model. These controllers have been developed to perform peak shaving in an automated fashion, providing users with a way to see the benefit of reduced demand charges without manually programming a complicated dispatch control. A flexible input option allows more advanced interaction with the automated controller. This document will describe the algorithms in detail and present brief results on its use and limitations.

  2. Acidification and tropospheric ozone in Europe: towards a dynamic economic analysis

    NARCIS (Netherlands)

    Schmieman, E.C.

    2001-01-01

    Acidification and tropospheric ozone are important transboundary environmental problems with many economic and environmental aspects related to their role in the biogeochemical cycles. The main acidic substances are sulphur dioxide, nitrogen oxides and ammonia. The most important precursors

  3. Application of Hybrid MOPSO Algorithm to Optimal Reactive Power Dispatch Problem Considering Voltage Stability

    Directory of Open Access Journals (Sweden)

    Yujiao Zeng

    2014-01-01

    Full Text Available This study presents a novel hybrid multiobjective particle swarm optimization (HMOPSO algorithm to solve the optimal reactive power dispatch (ORPD problem. This problem is formulated as a challenging nonlinear constrained multiobjective optimization problem considering three objectives, that is, power losses minimization, voltage profile improvement, and voltage stability enhancement simultaneously. In order to attain better convergence and diversity, this work presents the use of combing the classical MOPSO with Gaussian probability distribution, chaotic sequences, dynamic crowding distance, and self-adaptive mutation operator. Moreover, multiple effective strategies, such as mixed-variable handling approach, constraint handling technique, and stopping criteria, are employed. The effectiveness of the proposed algorithm for solving the ORPD problem is validated on the standard IEEE 30-bus and IEEE 118-bus systems under nominal and contingency states. The obtained results are compared with classical MOPSO, nondominated sorting genetic algorithm (NSGA-II, multiobjective evolutionary algorithm based on decomposition (MOEA/D, and other methods recently reported in the literature from the point of view of Pareto fronts, extreme, solutions and multiobjective performance metrics. The numerical results demonstrate the superiority of the proposed HMOPSO in solving the ORPD problem while strictly satisfying all the constraints.

  4. Distributed Renewable Generation and Storage System Sizing Based on Smart Dispatch of Microgrids

    Directory of Open Access Journals (Sweden)

    Raji Atia

    2016-03-01

    Full Text Available This paper considers the contribution of independent owners (IOs operating within microgrids (MGs toward green power generation in deregulated energy markets. An optimization scheme is introduced for sizing distributed renewable generation (DRG and a distributed energy storage system (DESS based on a novel energy management system (EMS that accounts for demand response (DR, DESS dispatch and performance degradation, dynamic pricing environments, power distribution loss and irregular renewable generation. The proposed EMS utilizes an iterative Newton-Raphson linear programming algorithm that schedules resources in order to minimize the objective function, to deal with the complicated nonlinear nature of the problem and to enable efficient long-term assessments. The EMS is used to evaluate candidate solutions that are generated by a genetic algorithm (GA to determine the optimal combination of DRG and DESS. A case study for IEEE 34-bus distribution MG in Okinawa, Japan, is used for testing the algorithm and analyzing the potential for IO/MG investments and their strategies.

  5. Assessing links between energy consumption, freight transport, and economic growth: evidence from dynamic simultaneous equation models.

    Science.gov (United States)

    Nasreen, Samia; Saidi, Samir; Ozturk, Ilhan

    2018-04-04

    We investigate this study to examine the relationship between economic growth, freight transport, and energy consumption for 63 developing countries over the period of 1990-2016. In order to make the panel data analysis more homogeneous, we apply the income level of countries to divide the global panel into three sub-panels, namely, lower-middle income countries (LMIC), upper-middle income countries (UMIC), and high-income countries (HIC). Using the generalized method of moments (GMM), the results prove evidence of bidirectional causal relationship between economic growth and freight transport for all selected panels and between economic growth and energy consumption for the high- and upper-middle income panels. For the lower-middle income panel, the causality is unidirectional running from energy consumption to economic growth. Also, the results indicate that the relationship between freight transport and energy use is bidirectional for the high-income countries and unidirectional from freight transport to energy consumption for the upper-middle and lower-middle income countries. Empirical evidence demonstrates the importance of energy for economic activity and rejects the neo-classical assumption that energy is neutral for growth. An important policy recommendation is that there is need of advancements in vehicle technology which can reduce energy intensity from transport sector and improve the energy efficiency in transport activity which in turn allows a greater positive role of transport in global economic activity.

  6. Impact of environmental dynamics on economic evolution: A stylized agent-based policy analysis

    NARCIS (Netherlands)

    Nannen, V.; van den Bergh, J.C.J.M.; Eiben, A.E.

    2013-01-01

    The general problem of how environmental dynamics affect the behavioral interaction in an evolutionary economy is considered. To this end, a basic model of a dynamic multi-sector economy is developed where the evolution of investment strategies depends on the diversity of these strategies, social

  7. Techno-economic and Fluid Dynamics Analysis for Growing Microalgae with the Intent of Producing Biofuel Using a System Model

    Science.gov (United States)

    Raffaeli, Leah R.

    Techno-economic and systems studies on microalgal growth scenarios to date are abbreviated and missing a number of important variables. By including these variables in a detailed model integrating biology, chemistry, engineering, and financial aspects, a more defined systems analysis is possible. Through optimizing the model productivity based on the resulting net profit, the system analysis results in a more accurate assessment of environmental and economic sustainability of specific algal growth scenarios. Photobioreactor algal growth scenario optimization in the system model has resulted in realistic engineering design requirements based on algal growth requirements and fluid dynamics analysis. Results show feasibility for photobioreactor growth scenarios to be economically sustainable when co-products are included, but definite technological advancements and productivity improvements must be made. The main factors inhibiting a cost effective photobioreactor growth scenario are culture density, temperature, and lighting distribution for solar illuminated photobioreactors, and lighting cost for artificially illuminated photobioreactors. Open pond algal growth scenarios do not show any prospect of economic or environmental sustainability with current technology due to the large amount of surface area required, inefficient water use, and low culture density. All algal growth scenarios are inferior to petro-diesel regarding energy inputs, carbon emissions, and environmental sustainability. No algal growth scenarios analyzed in this study meet the U.S. requirement of biofuel emitting at least 20% less carbon emissions than diesel from crude oil.

  8. Fiscal Deficit, National Saving and Sustainability of Economic Growth in Emerging Economies: A Dynamic GMM Panel Data Approach

    Directory of Open Access Journals (Sweden)

    Buscemi Antonino

    2012-01-01

    Full Text Available The neoclassical growth models argued that the movement to steady states; technology, exogenous rate of savings, population growth and technical progress stimulate higher growth levels (Solow 1956. Contrary to the neoclassical argument, endogenous growth model argues that, in the theory of endogenous growth, government play a significant role in promoting accumulation of knowledge, research and development, public investment, human capital development, law and order can generate growth both in the short and long run. Moreover, they assumed technical progress as endogenous variable for growth (Barro 1995. This study analyze the effects of fiscal deficit on sustainability of economic growth and provided new empirical evidence on the effects of fiscal deficit on saving and sustainability of economic growth based on the assumption of endogenous growth model. We estimated using the reduced form of GMM method for dynamic panels covers 1990-2009 for three emerging countries that includes China, India and South Africa.

  9. EIA model documentation: Electricity market module - electricity fuel dispatch

    International Nuclear Information System (INIS)

    1997-01-01

    This report documents the National Energy Modeling System Electricity Fuel Dispatch Submodule (EFD), a submodule of the Electricity Market Module (EMM) as it was used for EIA's Annual Energy Outlook 1997. It replaces previous documentation dated March 1994 and subsequent yearly update revisions. The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, model source code, and forecast results generated through the synthesis and scenario development based on these components. This document serves four purposes. First, it is a reference document providing a detailed description of the model for reviewers and potential users of the EFD including energy experts at the Energy Information Administration (EIA), other Federal agencies, state energy agencies, private firms such as utilities and consulting firms, and non-profit groups such as consumer and environmental groups. Second, this report meets the legal requirement of the Energy Information Administration (EIA) to provide adequate documentation in support of its statistical and forecast reports. Third, it facilitates continuity in model development by providing documentation which details model enhancements that were undertaken for AE097 and since the previous documentation. Last, because the major use of the EFD is to develop forecasts, this documentation explains the calculations, major inputs and assumptions which were used to generate the AE097

  10. EIA model documentation: Electricity market module - electricity fuel dispatch

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1997-01-01

    This report documents the National Energy Modeling System Electricity Fuel Dispatch Submodule (EFD), a submodule of the Electricity Market Module (EMM) as it was used for EIA`s Annual Energy Outlook 1997. It replaces previous documentation dated March 1994 and subsequent yearly update revisions. The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, model source code, and forecast results generated through the synthesis and scenario development based on these components. This document serves four purposes. First, it is a reference document providing a detailed description of the model for reviewers and potential users of the EFD including energy experts at the Energy Information Administration (EIA), other Federal agencies, state energy agencies, private firms such as utilities and consulting firms, and non-profit groups such as consumer and environmental groups. Second, this report meets the legal requirement of the Energy Information Administration (EIA) to provide adequate documentation in support of its statistical and forecast reports. Third, it facilitates continuity in model development by providing documentation which details model enhancements that were undertaken for AE097 and since the previous documentation. Last, because the major use of the EFD is to develop forecasts, this documentation explains the calculations, major inputs and assumptions which were used to generate the AE097.

  11. ECONOMY, ECONOMICS, ECONOMIC, ECONOMICAL

    Directory of Open Access Journals (Sweden)

    Sim Monica Ariana

    2013-07-01

    Full Text Available To speak and understand a language means - among many other things - knowing the words of that language. The average speaker knows, hears, understands and uses thousands of words daily. But does he use them appropriately? That is why this paper is about words and meanings. More specifically, it deals with the internal structure of complex words, i.e. derivatives. The purpose of the paper is to enable students and potentially other individuals dealing with English language on business basis to engage in their own analyses of some aspects of the language, namely the family tree of the word economy. After having read the paper, the reader should be familiar with the necessary knowledge regarding differences between meanings, misuse and actual sense of words deriving from economy, be able to systematically analyze data and relate his own findings on theoretical language problems. English is used by hundreds of millions speakers and still there is always need for improving our knowledge continuously. Knowing and speaking approximate English may not be enough at an advanced level as in the case of students who prepare themselves for careers that involve proficient communication in a foreign language on specific business issues. This is where the idea of such a paper appeared: students of the Faculty of Economic Sciences talk about economy and all the other terms deriving from it, with approximate knowledge of their meaning, without even being aware that some ‘minor' suffixes like –ic, -ical, -ics etc. really matter and do make a difference. Consequently, we started our teaching of Business English lecture in September 2012 with a working sheet based on the terms economic/ economical/ economics/ economy to assess students' awareness of these terms. The result was not a surprise as more than 90% misused economical instead of economic. That seemed a perfect introduction for students in economics. From that moment on, the building of their specific

  12. DYNAMICS AND EFFICIENCY OF EVENTS TOURISM, FACTORS IN GLOBAL ECONOMIC GROWTH

    OpenAIRE

    Raluca Georgiana Stoian; Manuela Liliana Muresan

    2016-01-01

    Meetings, Incentives, Conventions, and Exhibitions (MICE) is an elite segment of tourism linked to business tourism. It has become dynamic worldwide in recent years. The efficiency of tourism events emerges with the connection between the corporate world and world travel organizations. This connection is a dynamic link that is profitable for all parties involved. Currently, about 40% of the activity and profit is due to worldwide business travel and the event industry. This paper aims to high...

  13. Beyond Nationality: Dispatches from Immigrant Workers in the Global City

    Directory of Open Access Journals (Sweden)

    Manuel ABRANTES

    2012-05-01

    Full Text Available Research on migration policy, social structures and labour market dynamics underlines the persistent vulnerability of immigrants in the labour market of contemporary western societies. However, little attention has been paid to the diverse manners in which these factors overlap in the life of migrants moving within the same origin and destination settings. This article examines the case of Brazilian-born migrants working in Amsterdam, drawing on the analysis of statistical data, policy documents and fifteen life stories. It starts by explaining the aim of the research and the choice of origin and destination units. Findings are organized according to four key elements: legal status, gender, year of arrival, and occupation. It is argued that these elements comprise increasing differentiation mechanisms and provide an improved notion of what is at stake for migrant workers dwelling in the global city. The main conclusion is that international borders are undergoing a significant reorganization in their daily operation, in particular due to concomitant changes in migration law and flexibility strategies in the labour market. Reinforcement of distinct categories of migrants, expansion of rights for relatives or civil partners of European Union citizens and increasing pressure over undocumented workers require future research to consider whether migration policy is being replaced by a global order of human selection owing more to social and economic profile than nationality.

  14. Distributed Energy Resources and Dynamic Microgrid: An Integrated Assessment

    Science.gov (United States)

    Shang, Duo Rick

    The overall goal of this thesis is to improve understanding in terms of the benefit of DERs to both utility and to electricity end-users when integrated in power distribution system. To achieve this goal, a series of two studies was conducted to assess the value of DERs when integrated with new power paradigms. First, the arbitrage value of DERs was examined in markets with time-variant electricity pricing rates (e.g., time of use, real time pricing) under a smart grid distribution paradigm. This study uses a stochastic optimization model to estimate the potential profit from electricity price arbitrage over a five-year period. The optimization process involves two types of PHEVs (PHEV-10, and PHEV-40) under three scenarios with different assumptions on technology performance, electricity market and PHEV owner types. The simulation results indicate that expected arbitrage profit is not a viable option to engage PHEVs in dispatching and in providing ancillary services without more favorable policy and PHEV battery technologies. Subsidy or change in electricity tariff or both are needed. Second, it examined the concept of dynamic microgrid as a measure to improve distribution resilience, and estimates the prices of this emerging service. An economic load dispatch (ELD) model is developed to estimate the market-clearing price in a hypothetical community with single bid auction electricity market. The results show that the electricity market clearing price on the dynamic microgrid is predominantly decided by power output and cost of electricity of each type of DGs. At circumstances where CHP is the only source, the electricity market clearing price in the island is even cheaper than the on-grid electricity price at normal times. Integration of PHEVs in the dynamic microgrid will increase electricity market clearing prices. It demonstrates that dynamic microgrid is an economically viable alternative to enhance grid resilience.

  15. Dynamic Political Rhetoric : Electoral, Economic, and Partisan Determinants of Speech-Making in the UK Parliament

    NARCIS (Netherlands)

    Killermann, Kira; Proksch, Sven-Oliver

    2013-01-01

    Parliamentary debate is one major outlet for Members of Parliament (MPs), who spend lots of time preparing for and participating in such discussions. In this paper, we investigate in how far the focus MPs choose in their speeches varies as the economic, partisan and electoral context changes. We

  16. Optimal Dynamic Investment Policy under Different Rates for Tax Depreciation and Economic Depreciation

    NARCIS (Netherlands)

    Wielhouwer, J.L.; De Waegenaere, A.M.B.; Kort, P.M.

    1999-01-01

    This paper analyzes the consequences of incorporating a different rate for tax depreciation than for economic depreciation. Firms most often choose their tax depreciation rate in a strategic way. It would therefore be a coincidence if this optimization process leads to a tax depreciation rate that

  17. Economic dynamics under heterogeneous learning: necessary and sufficient conditions for stability

    Czech Academy of Sciences Publication Activity Database

    Kolyuzhnov, Dmitri

    -, č. 378 (2008), s. 1-45 ISSN 1211-3298 R&D Projects: GA MŠk LC542 Institutional research plan: CEZ:AV0Z70850503 Keywords : adaptive learning * stability of equilibrium * heterogeneous agents Subject RIV: AH - Economics http://www.cerge-ei.cz/pdf/wp/Wp378.pdf

  18. Estimating the economic impact of subclinical ketosis in dairy cattle using a dynamic stochastic simulation model

    NARCIS (Netherlands)

    Mostert, P.F.; Bokkers, E.A.M.; Middelaar, van C.E.; Hogeveen, H.; Boer, de I.J.M.

    2018-01-01

    The objective of this study was to estimate the economic impact of subclinical ketosis (SCK) in dairy cows. This metabolic disorder occurs in the period around calving and is associated with an increased risk of other diseases. Therefore, SCK affects farm productivity and profitability.

  19. ECOLOGICAL AND ECONOMIC DYNAMICS OF THE SHUNDE AGRICULTURAL SYSTEM UNDER CHINA'S SMALL CITY DEVELOPMENT STRATEGY

    Science.gov (United States)

    The development of small cities has been adopted as the main strategy to make full use of extra labor in the rural areas of China. The ecological and economic consequences of this development will affect over 100 million people and change the organization of agricultural systems ...

  20. Optimising the management of complex dynamic ecosystems. An ecological-economic modelling approach

    NARCIS (Netherlands)

    Hein, L.G.

    2005-01-01

    Keywords: ecological-economic modelling; ecosystem services; resource use; efficient; sustainability; wetlands, rangelands.

  1. The dynamics of economic convergence: the role of alternative investment decisions

    Czech Academy of Sciences Publication Activity Database

    Brůha, Jan; Podpiera, J.

    2011-01-01

    Roč. 35, č. 7 (2011), s. 1032-1044 ISSN 0165-1889 Institutional research plan: CEZ:MSM0021620846 Keywords : two-country model ing * convergence * real exchange rate Subject RIV: AH - Economics Impact factor: 0.855, year: 2011

  2. Energetic-economic dynamic computational analysis of plants with small capacity - Gera model

    International Nuclear Information System (INIS)

    Storfer, A.F.; Demanboro, A.C. de; Campello, C.A.G.B.

    1990-01-01

    A methodology and mathematical model for energy and economic analysis of hydroelectric power plants with low and medium capacity are presented. This methodology will be used for isolated or integrated hydroelectric power plants, including plants that part of their produced energy will go to the site market and part will go to regional electric system. (author)

  3. Causal Reasoning in Economics: A Selective Exploration of Semantic, Epistemic and Dynamical Aspects

    NARCIS (Netherlands)

    F. Claveau (Francois)

    2012-01-01

    textabstractEconomists reason causally. Like many other scientists, they aim at formulating justified causal claims about their object of study. This thesis contributes to our understanding of how causal reasoning proceeds in economics. By using the research on the causes of unemployment as a case

  4. A Texel fishing lineage: the social dynamic and economic logic of family firms

    NARCIS (Netherlands)

    van Ginkel, R.

    2014-01-01

    In the 1970s and early 1980s, several maritime anthropologists and sociologists pointed out that for a number of economic, social and psychological reasons, the performance of commercial fishing firms based on kin-based capital and labour was highly adaptive. For this reason, most crews in the North

  5. Exploring the Population and Economic Growth Dynamics in Former Homeland Settlements between 1996 and 2011

    CSIR Research Space (South Africa)

    Ngidi, M

    2014-12-01

    Full Text Available integrated with the rest of the administrative regions of South Africa. These largely rural areas have developed a variety of settlement types with varying levels of economic agglomeration and population concentration that are still faced with the legacy...

  6. Ecological economic simulation model of mountain fynbos ecosystems - dynamics, valuation and management

    CSIR Research Space (South Africa)

    Higgins, SI

    1997-08-01

    Full Text Available Mountain fynbos ecosystems in South Africa are threatened by alien plant invasions and by a lack of funding for effective management of these invasions. This paper develops an ecological-economic argument for the effective management of plant...

  7. Paediatric medical emergency calls to a Danish Emergency Medical Dispatch Centre: a retrospective, observational study.

    Science.gov (United States)

    Andersen, Kasper; Mikkelsen, Søren; Jørgensen, Gitte; Zwisler, Stine Thorhauge

    2018-01-05

    Little is known regarding paediatric medical emergency calls to Danish Emergency Medical Dispatch Centres (EMDC). This study aimed to investigate these calls, specifically the medical issues leading to them and the pre-hospital units dispatched to the paediatric emergencies. We performed a retrospective, observational study on paediatric medical emergency calls managed by the EMDC in the Region of Southern Denmark in February 2016. We reviewed audio recordings of emergency calls and ambulance records to identify calls concerning patients ≤ 15 years. We examined EMDC dispatch records to establish how the medical issues leading to these calls were classified and which pre-hospital units were dispatched to the paediatric emergencies. We analysed the data using descriptive statistics. Of a total of 7052 emergency calls in February 2016, 485 (6.9%) concerned patients ≤ 15 years. We excluded 19 and analysed the remaining 466. The reported medical issues were commonly classified as: "seizures" (22.1%), "sick child" (18.9%) and "unclear problem" (12.9%). The overall most common pre-hospital response was immediate dispatch of an ambulance with sirens and lights with a supporting physician-manned mobile emergency care unit (56.4%). The classification of medical issues and the dispatched pre-hospital units varied with patient age. We believe our results might help focus the paediatric training received by emergency medical dispatch staff on commonly encountered medical issues, such as the symptoms and conditions pertaining to the symptom categories "seizures" and "sick child". Furthermore, the results could prove useful in hypothesis generation for future studies examining paediatric medical emergency calls. Almost 7% of all calls concerned patients ≤ 15 years. Medical issues pertaining to the symptom categories "seizures", "sick child" and "unclear problem" were common and the calls commonly resulted in urgent pre-hospital responses.

  8. Neural dynamics of social tie formation in economic decision-making.

    Science.gov (United States)

    Bault, Nadège; Pelloux, Benjamin; Fahrenfort, Johannes J; Ridderinkhof, K Richard; van Winden, Frans

    2015-06-01

    The disposition for prosocial conduct, which contributes to cooperation as arising during social interaction, requires cortical network dynamics responsive to the development of social ties, or care about the interests of specific interaction partners. Here, we formulate a dynamic computational model that accurately predicted how tie formation, driven by the interaction history, influences decisions to contribute in a public good game. We used model-driven functional MRI to test the hypothesis that brain regions key to social interactions keep track of dynamics in tie strength. Activation in the medial prefrontal cortex (mPFC) and posterior cingulate cortex tracked the individual's public good contributions. Activation in the bilateral posterior superior temporal sulcus (pSTS), and temporo-parietal junction was modulated parametrically by the dynamically developing social tie-as estimated by our model-supporting a role of these regions in social tie formation. Activity in these two regions further reflected inter-individual differences in tie persistence and sensitivity to behavior of the interaction partner. Functional connectivity between pSTS and mPFC activations indicated that the representation of social ties is integrated in the decision process. These data reveal the brain mechanisms underlying the integration of interaction dynamics into a social tie representation which in turn influenced the individual's prosocial decisions. © The Author (2014). Published by Oxford University Press. For Permissions, please email: journals.permissions@oup.com.

  9. Causal relationships between energy consumption, foreign direct investment and economic growth: Fresh evidence from dynamic simultaneous-equations models

    International Nuclear Information System (INIS)

    Omri, Anis; Kahouli, Bassem

    2014-01-01

    This paper examines the interrelationships between energy consumption, foreign direct investment and economic growth using dynamic panel data models in simultaneous-equations for a global panel consisting of 65 countries. The time component of our dataset is 1990–2011 inclusive. To make the panel data analysis more homogenous, we also investigate this interrelationship for a number of sub-panels which are constructed based on the income level of countries. In this way, we end up with three income panels; namely, high income, middle income, and low income panels. In the empirical part, we draw on the growth theory and augment the classical growth model, which consists of capital stock, labor force and inflation, with foreign direct investment and energy. Generally, we show mixed results about the interrelationship between energy consumption, FDI and economic growth. - Highlights: • We examine the energy–FDI–growth nexus for a global panel of 65 countries. • Dynamic simultaneous-equation panel data models are used to address this issue. • We also investigate this nexus for three sub-panels which are constructed based on the income level of countries. • We show mixed results about the interrelationship between the three variables

  10. Economic dynamics with financial fragility and mean-field interaction: A model

    Science.gov (United States)

    Di Guilmi, C.; Gallegati, M.; Landini, S.

    2008-06-01

    Following Aoki’s statistical mechanics methodology [Masanao Aoki, New Approaches to Macroeconomic Modeling, Cambridge University Press, 1996; Masanao Aoki, Modeling Aggregate Behaviour and Fluctuations in Economics, Cambridge University Press, 2002; Masanao Aoki, and Hiroshi Yoshikawa, Reconstructing Macroeconomics, Cambridge University Press, 2006], we provide some insights into the well-known works of [Bruce Greenwald, Joseph Stiglitz, Macroeconomic models with equity and credit rationing, in: R. Hubbard (Ed.), Information, Capital Markets and Investment, Chicago University Press, Chicago, 1990; Bruce Greenwald, Joseph Stiglitz, Financial markets imperfections and business cycles, Quarterly journal of Economics (1993)]. Specifically, we reach analytically a closed form solution of their models overcoming the aggregation problem. The key idea is to represent the economy as an evolving complex system, composed by heterogeneous interacting agents, that can be partitioned into a space of macroscopic states. This meso level of aggregation permits to adopt mean-field interaction modeling and master equation techniques.

  11. Economics of Tertiary Education - Challenges and dynamics of the public tertiary education in Albania

    Directory of Open Access Journals (Sweden)

    Gledian Llatja

    2016-07-01

    Full Text Available The tertiary education is a critic mechanism for the socio-economic progress, for individuals who aspire a brighter future and it is also considered an important catalyzer of the economic mobility (Department of Treasury and Department of Education, 2012, 2. Based on the positive role and impact that the tertiary education has on the sustainable development, President Obama once stated that it is of damage to treat education as a luxurious public service. In line with the general considerations about the tertiary education in the U.S. the parallel comparison with Albania comes as a direct interpretation of utopia in the education policy-making. As policies are usually drafted based on data and findings, in the case of Albania there is a lack of data on expenses on tertiary education as share of GDP. This stands also for the main limitation of the paper.

  12. FOREIGN DIRECT INVESTMENT AND ECONOMIC PROGRESS:APPLICATION OF A DYNAMIC MODEL

    Directory of Open Access Journals (Sweden)

    Cyril A. Ogbokor

    2018-01-01

    Full Text Available Capital movements,whether in the form of foreign direct investment or foreignportfolio investment are considered to have a positive multiplier effect on theeconomy.The study contributes to the empirical literature by investigatingwhether foreign direct investment affects economic growth using Namibia as atest centre.The study made use ofvector autoregression methodto examine thisrelationship.A quarterly data covering 1990:Q1 to 2014:Q4 was employed.Theresults found cointegratingrelationships among the four variables that wereinvestigated. The estimated long-run equation also suggests a positive relationshipamongst the variables that have been examined in the study. Surprisingly, noevidence of causality was found pertaining tothe variables assessed in the study.Moreover, real exchange rate and net foreign direct investment contributed moretowards innovations in economic growth during the forecast horizon compared tothe openness index. The study concludes by crafting opportunities for furtherinquiries.

  13. ON THE DEMAND DYNAMICS OF ELECTRICITY IN GHANA: DO EXOGENOUS NON-ECONOMIC VARIABLES COUNT?

    Directory of Open Access Journals (Sweden)

    Ishmael Ackah

    2014-04-01

    Full Text Available The purpose of this study is to identify and quantify the effect of endogenous and exogenous economic factors on electricity demand in Ghana. The Structural Time Series Model is employed due to its ability to capture exogenous non-economic variables. The findings reveal that education has significant effect on electricity consumption in both the short and the long run. Education has inverse relationship with electricity consumption implying that the more consumers are educated, the less electricity they consume. The study also reveals that price changes have less impact on electricity consumption in the short run and that efficiency in electricity consumption has improved since 1971 and will continue for the next twenty years. The study recommends that more public education should be carried out to enhance energy conservation and also, realistic prices should be charge for electricity consumption to allow private investment into the sector.

  14. Water security, risk, and economic growth: Insights from a dynamical systems model

    OpenAIRE

    Dadson, Simon; Hall, Jim W.; Garrick, Dustin; Sadoff, Claudia; Grey, David; Whittington, Dale

    2017-01-01

    Investments in the physical infrastructure, human capital, and institutions needed for water resources management have been noteworthy in the development of most civilizations. These investments affect the economy in two distinct ways: (i) by improving the factor productivity of water in multiple economic sectors, especially those that are water intensive such as agriculture and energy and (ii) by reducing acute and chronic harmful effects of water-related hazards like floods, droughts, and w...

  15. Dynamic Modeling of the Economic Impacts of a Terrorist Attack using a Radiological Dispersion Device

    Science.gov (United States)

    2009-03-01

    that consumer confidence leads to consumer spending which stimulates the economy is the basis for the existence of a consumer confidence variable...Confidence Indexes Help Forcast Consumer Spending in Real Time? North American Journal of Economics and Finance , 435-450.  Daum, J. (2001). How...New York. Washington, D.C.: United Stated Governtment Accountability Office.  Ludvigson, S. C. (2004). Consumer Confidence and Consumer Spending . Journal

  16. The economic speed of an oceangoing vessel in a dynamic setting

    DEFF Research Database (Denmark)

    Magirou, Evangelos F.; Psaraftis, Harilaos N.; Bouritas, Theodore

    2015-01-01

    The optimal (economic) speed of oceangoing vessels has become of increased importance due to the combined effect of low freight rates and volatile bunker prices. We examine the problem for vessels operating in the spot market in a tramp mode. In the case of known freight rates between origin dest...... equations in our models differ from those of Markovian decision processes so we develop modifications of standard solution methods, and apply them to small examples....

  17. Urbanization, economic development and health: evidence from China’s labor-force dynamic survey

    OpenAIRE

    Chen, Hongsheng; Liu, Ye; Li, Zhigang; Xue, Desheng

    2017-01-01

    Background The frequent outbreak of environmental threats in China has resulted in increased criticism regarding the health effects of China’s urbanization. Urbanization is a double-edged sword with regard to health in China. Although great efforts have been made to investigate the mechanisms through which urbanization influences health, the effect of both economic development and urbanization on health in China is still unclear, and how urbanization-health (or development-health) relationshi...

  18. Population Ageing, Retirement Age Extension and Economic Growth in China A Dynamic General Equilibrium Analysis

    OpenAIRE

    Xiujian Peng; Yinhua Mai

    2013-01-01

    China is experiencing rapid population ageing with the proportion of the population aged 65 and above projected to increase almost threefold between 2010 and 2050. The growth of the working age population is expected to stop approximately in 2015 and to turn strongly negative. China's low retirement age compounds the ageing problem. One means to mitigate the negative effects of shrinking labour force on economic growth is to stimulate labour force participation among the current working age p...

  19. ICT diffusion, innovation systems, globalisation and regional economic dynamics: Theory and empirical evidence

    OpenAIRE

    Karlsson, Charlie; Maier, Gunther; Trippl, Michaela; Siedschlag, Iulia; Owen, Robert; Murphy, Gavin

    2008-01-01

    The objective of this paper is to review the relevant theoretical and empirical literature to provide a conceptual and methodological background for the analysis of the consequences of ICT use and globalisation on the regional economies in the European Union. We highlight the key aspects of ICT as a general purpose technology, discuss the economic impacts of ICT diffusion from a macro as well as from a micro perspective, and examine the spatial consequences of ICT diffusion. We focus on regio...

  20. The dynamics and economic impact of foreign debt in South Africa

    OpenAIRE

    2010-01-01

    D.Comm. Foreign debt affects the economy through three main channels, namely: the debt overhang effect, the liquidity constraint effect and the uncertainty effect. The main aim of this study is to derive an optimal level of foreign debt relative to Gross Domestic Product (GDP) for South Africa by investigating these channels. Incurring foreign debt is like a double edge sword. On the one side the foreign debt is needed for economic development (from a demand perspective) and on the other s...

  1. Dynamic model of minimax control over economic security state of the region in the presence of risks

    Directory of Open Access Journals (Sweden)

    Andrey Fedorovich Shorikov

    2012-06-01

    Full Text Available Investigation and solution of management of economic security state in the region (MESSR requires development of a dynamic economic-mathematical model that takes into account the presence of control actions, uncontrolled parameters (risk modeling errors, etc. and availability of information deficit. At the same time, the existing approaches to solving such problems are based primarily on static models and the use of stochastic modeling of the device, which is required for the application of knowledge of the probability characteristics of the main model parameters and special conditions for the realization of the process. We should note that to use the apparatus of stochastic modeling, very strict conditions are required, which in practice are usually not feasible in advance In this paper, we propose to use a deterministic approach for modeling and solving the original problem in the form of a dynamic programming problem of minimax control (optimization of a guaranteed result MESSR at the determined point of time, taking into account the availability of risks of deterministic and stochastic nature (combined risks model. At thesametime, under therisks in thesocial and economic system we understand thefactors that negatively catastrophically affect the results of the reviewed processes inside it. For an effective use, a technique of prediction and assessment of time rows and stochastic risks in MESSR optimization process is presented, which can serve as a basis for the development of appropriate computer software. To solve the problem of program minimax control MESSR in the presence of risks, we propose a method which is reduced to the realization of a finite number of solutions of linear and convex mathematical programming and discrete optimization problem. The proposed method makes it possible to develop efficient numerical procedures to implement computer simulation of the dynamics of the problem, build program minimax control and gain optimal

  2. The centrality of community dynamics in the socio-economic recovery of devastated communities.

    Science.gov (United States)

    Gomez, A; Atallah, W; Bidaisee, S; Patel, C; Amuleru-Marshall, O

    2009-11-01

    To assess and explore the health and socio-economic outcomes of Jubilee, a community on the Caribbean island of Grenada hit by Hurricane Ivan in 2004 and to identify remaining barriers to recovery. The assessment consisted of a mixed methods approach employing observations, household surveys, in-depth interviews and focus groups. Eighty-five per cent of the residents live in a single-family home type dwelling which is occupied by multiple families. Twenty-seven per cent of the respondents depended on a river or stream for water and 83% utilized an outdoor pit latrine. Construction accounted for 28% of the employment while 16% reported having no occupation. Public and private transportation was limited and 48% of the residents lived on less than one United States of America (US) dollar per day. Access to healthcare was reported by 89% and the prevalence of diabetes and hypertension was identified by 13% and 30% of the residents respectively. Social fragmentation within the community represents a barrier that keeps the community from developing common goals leading to full economic recovery. Jubilee has not fully recovered from the effects of Hurricane Ivan, but progress has been made in the reconstruction effort. These efforts have addressed the most immediate and basic needs of the community, mainly utility service infrastructure and home repairs. However issues related to the community's economic recovery are still unresolved.

  3. Dynamics of the Economic Effect in the Process of Managing the Life Cycle of Innovations in Terms of Their Commercialization

    Directory of Open Access Journals (Sweden)

    Tymofeyev Dmytro V.

    2017-01-01

    Full Text Available The article is aimed at studying the theoretical aspects of changes in the dynamics of economic effect in the processes of management of life cycle of the industrial innovations at the stage of their commercialization. On the basis of an analysis of the scientific papers by the domestic and the foreign authors on methods of commercialization of the innovative products, the current status and essence of the definitions of «innovation», «commercialization», and «economic effect» was researched. Possibilities of managing the duration of the stage of commercialization of innovations were researched. It has been proposed to implement extension of the maturity stage of the life cycle of innovation by reducing the phase of designing and creating the innovative product and, as a consequence, change of value of the cumulative economic effect. Further researches should focus on the interdependence of development costs, creating an innovation and time period for the implementing, as well as determine the mechanism for calculating the quantitative indicators of commercialization of innovations.

  4. Economic factors influencing zoonotic disease dynamics: demand for poultry meat and seasonal transmission of avian influenza in Vietnam.

    Science.gov (United States)

    Delabouglise, Alexis; Choisy, Marc; Phan, Thang D; Antoine-Moussiaux, Nicolas; Peyre, Marisa; Vu, Ton D; Pfeiffer, Dirk U; Fournié, Guillaume

    2017-07-19

    While climate is often presented as a key factor influencing the seasonality of diseases, the importance of anthropogenic factors is less commonly evaluated. Using a combination of methods - wavelet analysis, economic analysis, statistical and disease transmission modelling - we aimed to explore the influence of climatic and economic factors on the seasonality of H5N1 Highly Pathogenic Avian Influenza in the domestic poultry population of Vietnam. We found that while climatic variables are associated with seasonal variation in the incidence of avian influenza outbreaks in the North of the country, this is not the case in the Centre and the South. In contrast, temporal patterns of H5N1 incidence are similar across these 3 regions: periods of high H5N1 incidence coincide with Lunar New Year festival, occurring in January-February, in the 3 climatic regions for 5 out of the 8 study years. Yet, daily poultry meat consumption drastically increases during Lunar New Year festival throughout the country. To meet this rise in demand, poultry production and trade are expected to peak around the festival period, promoting viral spread, which we demonstrated using a stochastic disease transmission model. This study illustrates the way in which economic factors may influence the dynamics of livestock pathogens.

  5. Climate policy and economic dynamics : The role of substitution and technological change

    NARCIS (Netherlands)

    van der Werf, E.H.

    2008-01-01

    The main objective of this thesis is to study the dynamic effects of a cap on carbon dioxide emissions on the economy. Questions that will be answered include: What is the effect of the emission cap on the optimal use of fossil fuels like coal, oil and gas? To what extent will emissions of

  6. Dynamic models for health economic assessments of pertussis vaccines : what goes around comes around ...

    NARCIS (Netherlands)

    Rozenbaum, M.H.; De Cao, E.; Westra, T.A.; Postma, M.J.

    2012-01-01

    Despite childhood vaccination programs, pertussis remains endemic. To reduce the burden of pertussis, various extended pertussis vaccination strategies have been suggested. The aim of this article is to evaluate dynamic models used to assess the cost-effectiveness of vaccination. In total, 16

  7. Transforming Healthcare Delivery: Integrating Dynamic Simulation Modelling and Big Data in Health Economics and Outcomes Research

    NARCIS (Netherlands)

    Marshall, Deborah A.; Burgos-Liz, Lina; Pasupathy, Kalyan S.; Padula, William V.; IJzerman, Maarten Joost; Wong, Peter K.; Higashi, Mitchell K.; Engbers, Jordan; Wiebe, Samuel; Crown, William; Osgood, Nathaniel D.

    2016-01-01

    In the era of the Information Age and personalized medicine, healthcare delivery systems need to be efficient and patient-centred. The health system must be responsive to individual patient choices and preferences about their care, while considering the system consequences. While dynamic simulation

  8. Accuracy of Emergency Medical Services Dispatcher and Crew Diagnosis of Stroke in Clinical Practice.

    Science.gov (United States)

    Jia, Judy; Band, Roger; Abboud, Michael E; Pajerowski, William; Guo, Michelle; David, Guy; Mechem, C Crawford; Messé, Steven R; Carr, Brendan G; Mullen, Michael T

    2017-01-01

    Accurate recognition of stroke symptoms by Emergency Medical Services (EMS) is necessary for timely care of acute stroke patients. We assessed the accuracy of stroke diagnosis by EMS in clinical practice in a major US city. Philadelphia Fire Department data were merged with data from a single comprehensive stroke center to identify patients diagnosed with stroke or TIA from 9/2009 to 10/2012. Sensitivity and positive predictive value (PPV) were calculated. Multivariable logistic regression identified variables associated with correct EMS diagnosis. There were 709 total cases, with 400 having a discharge diagnosis of stroke or TIA. EMS crew sensitivity was 57.5% and PPV was 69.1%. EMS crew identified 80.2% of strokes with National Institutes of Health Stroke Scale (NIHSS) ≥5 and symptom duration 270 min (OR 0.41, 95% CI 0.25-0.68). EMS dispatchers identified 90 stroke cases that the EMS crew missed. EMS dispatcher or crew identified stroke with sensitivity of 80% and PPV of 50.9%, and EMS dispatcher or crew identified 90.5% of patients with NIHSS ≥5 and symptom duration <6 h. Prehospital diagnosis of stroke has limited sensitivity, resulting in a high proportion of missed stroke cases. Dispatchers identified many strokes that EMS crews did not. Incorporating EMS dispatcher impression into regional protocols may maximize the effectiveness of hospital destination selection and pre-notification.

  9. An electric vehicle dispatch module for demand-side energy participation

    International Nuclear Information System (INIS)

    Zhou, Bowen; Yao, Feng; Littler, Tim; Zhang, Huaguang

    2016-01-01

    Highlights: • Real-time measurement and assessment to calculate EV initial state-of-charge (SOC). • Flexible EV charging allocation using measured available time duration (ATD). • Owner participation using mobile phone apps and a new EV dispatch module. • Online algorithm for real-time calculation of maximum and minimum adjustable limits. • Business-trading models with data security, trending and commercial impacts of EV. - Abstract: The penetration of the electric vehicle (EV) has increased rapidly in recent years mainly as a consequence of advances in transport technology and power electronics and in response to global pressure to reduce carbon emissions and limit fossil fuel consumption. It is widely acknowledged that inappropriate provision and dispatch of EV charging can lead to negative impacts on power system infrastructure. This paper considers EV requirements and proposes a module which uses owner participation, through mobile phone apps and on-board diagnostics II (OBD-II), for scheduled vehicle charging. A multi-EV reference and single-EV real-time response (MRS2R) online algorithm is proposed to calculate the maximum and minimum adjustable limits of necessary capacity, which forms part of decision-making support in power system dispatch. The proposed EV dispatch module is evaluated in a case study and the influence of the mobile app, EV dispatch trending and commercial impact is explored.

  10. Evaluating the CO 2 emissions reduction potential and cost of power sector re-dispatch

    Energy Technology Data Exchange (ETDEWEB)

    Steinberg, Daniel C.; Bielen, David A.; Townsend, Aaron

    2018-01-01

    Prior studies of the U.S. electricity sector have recognized the potential to reduce carbon dioxide (CO2) emissions by substituting generation from coal-fired units with generation from under-utilized and lower-emitting natural gas-fired units; in fact, this type of 're-dispatch' was invoked as one of the three building blocks used to set the emissions targets under the Environmental Protection Agency's Clean Power Plan. Despite the existence of surplus natural gas capacity in the U.S., power system operational constraints not often considered in power sector policy analyses, such as transmission congestion, generator ramping constraints, minimum generation constraints, planned and unplanned generator outages, and ancillary service requirements, could limit the potential and increase the cost of coal-to-gas re-dispatch. Using a highly detailed power system unit commitment and dispatch model, we estimate the maximum potential for re-dispatch in the Eastern Interconnection, which accounts for the majority of coal capacity and generation in the U.S. Under our reference assumptions, we find that maximizing coal-to-gas re-dispatch yields emissions reductions of 230 million metric tons (Mt), or 13% of power sector emissions in the Eastern Interconnection, with a corresponding average abatement cost of $15-$44 per metric ton of CO2, depending on the assumed supply elasticity of natural gas.

  11. The dynamic performance and economic benefit of a blended braking system in a multi-speed battery electric vehicle

    International Nuclear Information System (INIS)

    Ruan, Jiageng; Walker, Paul D.; Watterson, Peter A.; Zhang, Nong

    2016-01-01

    Highlights: • Maximum braking energy recovery potentials of various cycles are reported. • Braking strategies are proposed for performance, comfort and energy recovery. • Braking force distributions and wheel slip ratios of different strategies are demonstrated. • The performance of ‘Eco’ strategy is experimentally validated in HWFET and NEDC. • The economic benefit of energy recovering is summarized, regarding to the fuel and maintenance cost saving. - Abstract: As motor-supplied braking torque is applied to the wheels in an entirely different way to hydraulic friction braking systems and it is usually only connected to one axle complicated effects such as wheel slip and locking, vehicle body bounce and braking distance variation will inevitability impact on the performance and safety of braking. The potential for braking energy recovery in typical driving cycles is presented to show its benefit in this study. A general predictive model is designed to analysis the economic and dynamic performance of blended braking systems, satisfying the relevant regulations/laws and critical limitations. Braking strategies for different purposes are proposed to achieve a balance between braking performance, driving comfort and energy recovery rate. Special measures are taken to avoid any effects of motor failure. All strategies are analyzed in detail for various braking events. Advanced driver assistance systems (ADAS), such as ABS and EBD, are properly integrated to work with the regenerative braking system (RBS) harmoniously. Different switching plans during braking are discussed. The braking energy recovery rates and brake force distribution details for different driving cycles are simulated. Results for two of the cycles in an ‘Eco’ mode are measured on a drive train test rig and found to agree with the simulated results to within approximately 10%. Reliable conclusions can thus be gained on the economic benefit and dynamic braking performance. The

  12. Modeling economic costs of disasters and recovery involving positive effects of reconstruction: analysis using a dynamic CGE model

    Science.gov (United States)

    Xie, W.; Li, N.; Wu, J.-D.; Hao, X.-L.

    2013-11-01

    Disaster damages have negative effects on economy, whereas reconstruction investments have positive effects. The aim of this study is to model economic causes of disasters and recovery involving positive effects of reconstruction activities. Computable general equilibrium (CGE) model is a promising approach because it can incorporate these two kinds of shocks into a unified framework and further avoid double-counting problem. In order to factor both shocks in CGE model, direct loss is set as the amount of capital stock reduced on supply side of economy; A portion of investments restore the capital stock in existing period; An investment-driven dynamic model is formulated due to available reconstruction data, and the rest of a given country's saving is set as an endogenous variable. The 2008 Wenchuan Earthquake is selected as a case study to illustrate the model, and three scenarios are constructed: S0 (no disaster occurs), S1 (disaster occurs with reconstruction investment) and S2 (disaster occurs without reconstruction investment). S0 is taken as business as usual, and the differences between S1 and S0 and that between S2 and S0 can be interpreted as economic losses including reconstruction and excluding reconstruction respectively. The study showed that output from S1 is found to be closer to real data than that from S2. S2 overestimates economic loss by roughly two times that under S1. The gap in economic aggregate between S1 and S0 is reduced to 3% in 2011, a level that should take another four years to achieve under S2.

  13. AN ANALYSIS OF THE DYNAMICS OF INVESTMENT SAVING AND ECONOMIC GROWTH IN TURKEY: 1950-2004

    OpenAIRE

    SARIDOĞAN, Ercan; ŞENER, Sefer; ŞÜKRÜOĞLU, Deniz

    2007-01-01

    Main aim of this study is to investigate the interaction among the saving, investment and growth in order to find out which variable is the key in terms of the causality, impulse-response from one to another. If we find out this relationship among the saving, investment and growth then we can design efficient economic policies in order to achieve an economy in which saving, investment and growth affect one to another positively. We mainly focused on Turkey which has been erratic growth perfor...

  14. Unemployment and inflation dynamics prior to the economic downturn of 2007-2008.

    Science.gov (United States)

    Guastello, Stephen J; Myers, Adam

    2009-10-01

    This article revisits a long-standing theoretical issue as to whether a "natural rate" of unemployment exists in the sense of an exogenously driven fixed-point Walrasian equilibrium or attractor, or whether more complex dynamics such as hysteresis or chaos characterize an endogenous dynamical process instead. The same questions are posed regarding a possible natural rate of inflation along with an investigation of the actual relationship between inflation and unemployment for which extent theories differ. Time series of unemployment and inflation for US data - were analyzed using the exponential model series and nonlinear regression for capturing Lyapunov exponents and transfer effects from other variables. The best explanation for unemployment was that it is a chaotic variable that is driven in part by inflation. The best explanation for inflation is that it is also a chaotic variable driven in part by unemployment and the prices of treasury bills. Estimates of attractors' epicenters were calculated in lieu of classical natural rates.

  15. Two Alternative Approaches to Modelling the Nonlinear Dynamics of the Composite Economic Indicator

    OpenAIRE

    Konstantin A. Kholodilin

    2002-01-01

    This paper sets up a common unobserved factor model with smooth transition autoregressive dynamics. This model is compared to the already classical common factor model with regime-switching. Both models' in-sample and out-of-sample performance in terms of capturing and predicting the business cycle turning points is evaluated. The comparison of the model-derived probabilities to the NBER business cycle dating shows statistically equivalent in-sample forecasting accuracy of these techniques. T...

  16. Cardinal priority ranking based decision making for economic ...

    African Journals Online (AJOL)

    To access the indifference band, interaction with the decision maker is obtained via cardinal priority ranking (CPR) of the objectives. The cardinal priority ranking is ... The validity of the proposed method is demonstrated on IEEE 11-bus system which comprises 3-generators. Keywords: Economic emission dispatch; fuzzy ...

  17. Budget spending and economic growth in Croatia - Dynamics and relathionships over the past two decades

    Directory of Open Access Journals (Sweden)

    Helena Blažić

    2011-12-01

    Full Text Available The objective of this research is to analyze the relationship between government budget spending and the effect on the growth and structure of the GDP of Croatia during the past two decades. The starting working assumption (hypothesis is that the volume of total budget expenditure (including the foreign borrowing has not been realizing appropriate effect on GDP growth. In the analysis of these relationships we primarily use the method of vector autoregressions (VAR. The main result of the analysis showed that, in accordance with theoretical assumptions, the structure of expenditures is essential for the effects of budgetary spending on economic growth. We determine the positive effects of investment spending and purchases of goods and services and the negative effects of other categories of current spending. The reduction of capital expenditures during the recession presents a particularly adverse trend, which reduces the rate of growth of the economy in the long and short term. A fundamental conclusion of the research is that the budget expenditures have not adequately affected the GDP growth. Therefore, it is possible to affect the economic growth by changing the structure of budgetary spending, as well as directing public borrowing to investment financing.

  18. Complex dynamics of our economic life on different scales: insights from search engine query data.

    Science.gov (United States)

    Preis, Tobias; Reith, Daniel; Stanley, H Eugene

    2010-12-28

    Search engine query data deliver insight into the behaviour of individuals who are the smallest possible scale of our economic life. Individuals are submitting several hundred million search engine queries around the world each day. We study weekly search volume data for various search terms from 2004 to 2010 that are offered by the search engine Google for scientific use, providing information about our economic life on an aggregated collective level. We ask the question whether there is a link between search volume data and financial market fluctuations on a weekly time scale. Both collective 'swarm intelligence' of Internet users and the group of financial market participants can be regarded as a complex system of many interacting subunits that react quickly to external changes. We find clear evidence that weekly transaction volumes of S&P 500 companies are correlated with weekly search volume of corresponding company names. Furthermore, we apply a recently introduced method for quantifying complex correlations in time series with which we find a clear tendency that search volume time series and transaction volume time series show recurring patterns.

  19. An Experimental Analysis on Dispatching Rules for the Train Platforming Problem in Busy Complex Passenger Stations

    Directory of Open Access Journals (Sweden)

    Qiongfang Zeng

    2017-09-01

    platforming problem (TPP by using mixed integer linear programming and job shop scheduling theory. First, the operation procedures and scheduled time adjustment costs of different train types specific to busy complex passenger stations are explicitly represented. Second, a multi-criteria scheduling model (MCS for TPP without earliness and tardiness time window (ETTW and a time window scheduling model (TWS with ETTW for TPP are proposed. Third, various dispatching rules were designed by incorporating the dispatcher experiences with modern scheduling theory and a rule-based metaheuristic to solve the above model is presented. With solution improvement strategies analogous to those used in practice by dispatchers, the realistic size problems in acceptable time can be solved.

  20. Methodological framework for economical and controllable design of heat exchanger networks: Steady-state analysis, dynamic simulation, and optimization

    International Nuclear Information System (INIS)

    Masoud, Ibrahim T.; Abdel-Jabbar, Nabil; Qasim, Muhammad; Chebbi, Rachid

    2016-01-01

    Highlights: • HEN total annualized cost, heat recovery, and controllability are considered in the framework. • Steady-state and dynamic simulations are performed. • Effect of bypass on total annualized cost and controllability is reported. • Optimum bypass fractions are found from closed and open-loop efforts. - Abstract: The problem of interaction between economic design and control system design of heat exchanger networks (HENs) is addressed in this work. The controllability issues are incorporated in the classical design of HENs. A new methodological framework is proposed to account for both economics and controllability of HENs. Two classical design methods are employed, namely, Pinch and superstructure designs. Controllability measures such as relative gain array (RGA) and singular value decomposition (SVD) are used. The proposed framework also presents a bypass placement strategy for optimal control of the designed network. A case study is used to test the applicability of the framework and to assess both economics and controllability. The results indicate that the superstructure design is more economical and controllable compared to the Pinch design. The controllability of the designed HEN is evaluated using Aspen-HYSYS closed-loop dynamic simulator. In addition, a sensitivity analysis is performed to study the effect of bypass fractions on the total annualized cost and controllability of the designed HEN. The analysis shows that increasing any bypass fraction increases the total annualized cost. However, the trend with the total annualized cost was not observed with respect to the control effort manifested by minimizing the integral of the squared errors (ISE) between the controlled stream temperatures and their targets (set-points). An optimal ISE point is found at a certain bypass fraction, which does not correspond to the minimal total annualized cost. The bypass fractions are validated via open-loop simulation and the additional cooling and

  1. Non-exhaustive family based dispatching heuristics-exploiting variances of processing and set-up times

    NARCIS (Netherlands)

    van der Zee, D.J.

    2010-01-01

    Group technology exploits similarities in product and process design to effectively meet the diversity of customer demand. In this paper we consider one of the implementations of this concept-heuristics for family based dispatching. Intrinsic to family based dispatching is the grouping of similar

  2. Examining the Fundamental Obstructs of Adopting Cloud Computing for 9-1-1 Dispatch Centers in the USA

    Science.gov (United States)

    Osman, Abdulaziz

    2016-01-01

    The purpose of this research study was to examine the unknown fears of embracing cloud computing which stretches across measurements like fear of change from leaders and the complexity of the technology in 9-1-1 dispatch centers in USA. The problem that was addressed in the study was that many 9-1-1 dispatch centers in USA are still using old…

  3. A Cloud Based Mobile Dispatching System with Built-in Social CRM Component: Design and Implementation

    Directory of Open Access Journals (Sweden)

    Cosmina Ivan

    2015-07-01

    Full Text Available Mobile dispatching applications have become popular for at least two major reasons. The first reason is a more mobile-centric usage pattern, where users relate to apps for fulfilling different needs that they have. In this respect, a vehicle dispatching application for mobile phones is perceived as a modern way of booking a vehicle. The second reason has to do with the advantages that this method has over traditional dispatching systems, such as being able to see the vehicle approaching on a map, being able to rate a driver and the most importantly spurring customer retention. The taxi dispatching business, one of the classes of dispatching businesses, tends to be a medium to lower class fidelity service, where users mostly consider the closest taxi as opposed to quality, which is regarded as being at a relatively consistent level. We propose a new approach for the taxi ordering application , a mobile dispatching system, which allows for a more engaged user base and offers fidelity rewards that are used to enhance the customer retention level based on a built in social customer relationship management (CRM component. With this approach, we argue that in a business world which is shifting from a consumer-centric marketing to a human-centric model, this apps will allows taxi businesses to better interact with their clients in a more direct and responsible manner. Also this distributed system helps taxi drivers, which can receive orders directly from their clients and will be able to benefit from offering quality services as they can get higher ratings.

  4. Optimal Dispatch of Unreliable Electric Grid-Connected Diesel Generator-Battery Power Systems

    Science.gov (United States)

    Xu, D.; Kang, L.

    2015-06-01

    Diesel generator (DG)-battery power systems are often adopted by telecom operators, especially in semi-urban and rural areas of developing countries. Unreliable electric grids (UEG), which have frequent and lengthy outages, are peculiar to these regions. DG-UEG-battery power system is an important kind of hybrid power system. System dispatch is one of the key factors to hybrid power system integration. In this paper, the system dispatch of a DG-UEG-lead acid battery power system is studied with the UEG of relatively ample electricity in Central African Republic (CAR) and UEG of poor electricity in Congo Republic (CR). The mathematical models of the power system and the UEG are studied for completing the system operation simulation program. The net present cost (NPC) of the power system is the main evaluation index. The state of charge (SOC) set points and battery bank charging current are the optimization variables. For the UEG in CAR, the optimal dispatch solution is SOC start and stop points 0.4 and 0.5 that belong to the Micro-Cycling strategy and charging current 0.1 C. For the UEG in CR, the optimal dispatch solution is of 0.1 and 0.8 that belongs to the Cycle-Charging strategy and 0.1 C. Charging current 0.1 C is suitable for both grid scenarios compared to 0.2 C. It makes the dispatch strategy design easier in commercial practices that there are a few very good candidate dispatch solutions with system NPC values close to that of the optimal solution for both UEG scenarios in CAR and CR.

  5. DISPATCH: A Numerical Simulation Framework for the Exa-scale Era. I. Fundamentals

    Science.gov (United States)

    Nordlund, Åke; P Ramsey, Jon; Popovas, Andrius; Küffmeier, Michael

    2018-03-01

    We introduce a high-performance simulation framework that permits the semi-independent, task-based solution of sets of partial differential equations, typically manifesting as updates to a collection of `patches' in space-time. A hybrid MPI/OpenMP execution model is adopted, where work tasks are controlled by a rank-local `dispatcher' which selects, from a set of tasks generally much larger than the number of physical cores (or hardware threads), tasks that are ready for updating. The definition of a task can vary, for example, with some solving the equations of ideal magnetohydrodynamics (MHD), others non-ideal MHD, radiative transfer, or particle motion, and yet others applying particle-in-cell (PIC) methods. Tasks do not have to be grid-based, while tasks that are, may use either Cartesian or orthogonal curvilinear meshes. Patches may be stationary or moving. Mesh refinement can be static or dynamic. A feature of decisive importance for the overall performance of the framework is that time steps are determined and applied locally; this allows potentially large reductions in the total number of updates required in cases when the signal speed varies greatly across the computational domain, and therefore a corresponding reduction in computing time. Another feature is a load balancing algorithm that operates `locally' and aims to simultaneously minimise load and communication imbalance. The framework generally relies on already existing solvers, whose performance is augmented when run under the framework, due to more efficient cache usage, vectorisation, local time-stepping, plus near-linear and, in principle, unlimited OpenMP and MPI scaling.

  6. A Novel Dynamic Model for Health Economic Analysis of Influenza Vaccination in the Elderly.

    Science.gov (United States)

    Mullikin, Mark; Tan, Litjen; Jansen, Jeroen P; Van Ranst, Marc; Farkas, Norbert; Petri, Eckhardt

    2015-12-01

    New vaccines are being developed to improve the efficacy of seasonal influenza immunization in elderly persons aged ≥65 years. These products require clinical and economic evaluation to aid policy decisions. To address this need, a two-part model has been developed, which we have applied to examine the potential clinical and economic impact of vaccinating elderly persons with adjuvanted trivalent inactivated influenza vaccine (aTIV) relative to conventional trivalent (TIV) and quadrivalent (QIV) vaccines. We compared outcomes in the US population for (1) aTIV in persons aged ≥65 years and QIV in all other age cohorts; (2) QIV in all cohorts; (3) TIV in all cohorts. Low, average, and high intensity seasons with low, average, and high vaccine match scenarios were compared. Probabilistic sensitivity analysis was conducted within each discrete scenario to explore the impact of variation in model inputs on potential outcomes. Assuming current vaccination coverage rates in the US population with (a) 25% better efficacy of adjuvanted versus non-adjuvanted vaccine against any strain and (b) 35% better efficacy of non-adjuvanted vaccine against matched B versus mismatched B strains, use of aTIV in persons aged ≥65 years and QIV in persons 54.5% of all circulating strains, use of QIV in all cohorts would offset the clinical benefits of aTIV. Elderly aTIV or QIV vaccination was associated with improved outcomes over non-adjuvanted TIV in many of the scenarios, particularly in low match seasons of any intensity. Total cost savings (including direct and indirect healthcare costs plus productivity impacts) with aTIV in the elderly versus QIV in the whole population ranged from $27 million (low intensity, low match) to $934 million (high intensity, high match). Univariate sensitivity analysis of relative vaccine prices in the average intensity, average match scenario indicated that aTIV could be marginally cost saving relative to QIV at the currently published Medicare

  7. Coupled Hydro-Economic Dynamics of Groundwater Irrigated Agriculture in a Hard Rock Region of India

    Science.gov (United States)

    Modi, V.; Fishman, R.; Siegfried, T. U.; Raj, P.; Vasquez, V.; Narula, K.; Lall, U.

    2009-12-01

    We analyze the dynamics of groundwater and irrigated agriculture in a semi-arid, hard rock region of India, which is characterized by low-yield, limited storativity aquifers. Telengana, in western Andhra Pradesh has witnessed a relentless expansion of the total irrigated area. Total crop irrigation water requirements have increased by more than 50 percent over the last 30 years. Nowadays, more than 80 percent of the net irrigated area in the region is irrigated from groundwater. Given limited, period monsoonal recharge to the aquifers, it can be estimated that groundwater irrigation intensity is surpassing sustainable allocation levels by a factor of 3. It is not further surprising that the region is increasingly affected by widespread groundwater depletion, with negative consequences for farmers and the energy sector as well as the natural environment. Using data on water tables, precipitation and agricultural land use, we show how both rainfall and farmers’ choices effect water tables and how these, in turn, re-effect farmers choices and agricultural outcomes in a dynamic relationship that allows us to model the interaction between the natural hydrological and agricultural-social dynamics. We use the model to elucidate and quantify the meaning of groundwater mining in this hard rock environment. In contrast to deep alluvial aquifers, excessive extraction does not lead to sustained long term deepening of the water table, but to increased fluctuations in the supply of groundwater for irrigation and the loss of the buffering capacity. For the farmers, this potentially translates into increasingly perilous agricultural production outcomes during monsoonal failures. Furthermore, the dry season agricultural production that entirely depends on the availability of sufficient amounts of irrigation water is progressively threatened under the current allocation scenario. Alternative management practices to address the aquifer depletion issues are discussed. We show that

  8. Dynamic analysis of the relation between economic cycle and unemployment cycle: a regional application

    Directory of Open Access Journals (Sweden)

    Javier J. Pérez

    2003-01-01

    Full Text Available The Okun law for Andalusia and Spain is estimated using quarterly data (1984-2000. We take a VAR approach that allows us to unveil the different dynamic behaviour of the relationship between the output gap and the unemployment gap in the two economies, as well as the asymmetric nature of that relationship. Our findings also suggest that the lower responsiveness of the unemployment gap to the output gap in Andalusia is related to two main factors: the flows out of the labour force in recession are larger in Andalusia, and the higher share of the agrarian unemployment.

  9. Dynamics of energy use, technological innovation, economic growth and trade openness in Malaysia

    International Nuclear Information System (INIS)

    Sohag, Kazi; Begum, Rawshan Ara; Abdullah, Sharifah Mastura Syed; Jaafar, Mokhtar

    2015-01-01

    This study extends the Marshallian demand framework to investigate the effects of TI (technological innovation) on energy use in Malaysia. This extended theoretical frameworks predicts that TI, an exogenous element in the energy demand function, increases energy efficiency and, correspondingly, reduces energy consumption at a given level of economic output. Using an ARDL (autoregressive distributed lag) bounds testing approach for the sample period 1985–2012, this study confirms both short- and log-run theoretical predictions. However, controlling for the effect of TI, this study finds that increasing GDP per capita and trade openness produce a rebound effect of TI on energy use. - Highlights: • Technological innovation increases energy efficiency in the long run. • GDP per capita intensifies the energy use in the short run and long run. • Trade openness augments energy use in the long run.

  10. Integrated Dynamic Gloabal Modeling of Land Use, Energy and Economic Growth

    Energy Technology Data Exchange (ETDEWEB)

    Atul Jain, University of Illinois, Urbana-Champaign, IL; Neill, NCAR, Boulder, CO

    2009-10-14

    The overall objective of this collaborative project is to integrate an existing general equilibrium energy-economic growth model with a biogeochemical cycles and biophysical models in order to more fully explore the potential contribution of land use-related activities to future emissions scenarios. Land cover and land use change activities, including deforestation, afforestation, and agriculture management, are important source of not only CO2, but also non-CO2 GHGs. Therefore, contribution of land-use emissions to total emissions of GHGs is important, and consequently their future trends are relevant to the estimation of climate change and its mitigation. This final report covers the full project period of the award, beginning May 2006, which includes a sub-contract to Brown University later transferred to the National Center for Atmospheric Research (NCAR) when Co-PI Brian O'Neill changed institutional affiliations.

  11. Dynamic agglomeration patterns in a two-country new economic geography model with four regions

    International Nuclear Information System (INIS)

    Commendatore, Pasquale; Kubin, Ingrid; Mossay, Pascal; Sushko, Iryna

    2015-01-01

    We introduce a two-country New Economic Geography model with four regions. It is defined by a 2D piecewise smooth map that depends on 8 parameters. Using reductions of this map to 1D maps defined on invariant straight lines, we obtain stability conditions of the Core–Periphery fixed points, and show how such reductions can be used to describe basins of attraction of coexisting attractors. Typical bifurcation sequences obtained when varying some parameters are discussed. We find patterns that are much richer than those observed in standard NEG models: there are more types of fixed points including fixed points attracting in Milnor’s sense; their basins of attraction are quite complicated; and coexistence is pervasive.

  12. Review of reactive power dispatch strategies for loss minimization in a DFIG-based wind farm

    DEFF Research Database (Denmark)

    Zhang, Baohua; Hu, Weihao; Hou, Peng

    2017-01-01

    This paper reviews and compares the performance of reactive power dispatch strategies for the loss minimization of Doubly Fed Induction Generator (DFIG)-based Wind Farms (WFs). Twelve possible combinations of three WF level reactive power dispatch strategies and fourWind Turbine (WT) level reactive...... power control strategies are investigated. All of the combined strategies are formulated based on the comprehensive loss models of WFs, including the loss models of DFIGs, converters, filters, transformers, and cables of the collection system. Optimization problems are solved by a Modified Particle...

  13. Paediatric medical emergency calls to a Danish Emergency Medical Dispatch Centre

    DEFF Research Database (Denmark)

    Andersen, Kasper; Mikkelsen, Søren; Jørgensen, Gitte

    2018-01-01

    performed a retrospective, observational study on paediatric medical emergency calls managed by the EMDC in the Region of Southern Denmark in February 2016. We reviewed audio recordings of emergency calls and ambulance records to identify calls concerning patients ≤ 15 years. We examined EMDC dispatch...... records to establish how the medical issues leading to these calls were classified and which pre-hospital units were dispatched to the paediatric emergencies. We analysed the data using descriptive statistics. RESULTS: Of a total of 7052 emergency calls in February 2016, 485 (6.9%) concerned patients ≤ 15...

  14. Accessing on the sustainability of urban ecological-economic systems by means of a coupled emergy and system dynamics model: A case study of Beijing

    International Nuclear Information System (INIS)

    Fang, Wei; An, Haizhong; Li, Huajiao; Gao, Xiangyun; Sun, Xiaoqi; Zhong, Weiqiong

    2017-01-01

    Due to high population densities and rapid economic development, great number of cities worldwide rely heavily on external resources, and many are experiencing serious environmental pollution. Municipal governments are facing the issue of balancing the relationship between economic growth and environmental preservation. An urban system is an open, complex, dynamic ecological-economic system with different types of materials and resources. This paper combines emergy theory and System Dynamics (SD) and establishes an emergy-flow SD model of an urban eco-economic system that includes economic, population, waste and emergy sub-models. Three scenarios with different economic growth rates and investments in environmental preservation are designed to analyze the sustainable development capacity of Beijing under different scenarios. The results of the analysis show that current economic development in Beijing highly depends on resources consumption, especially the consumption of imported resources. Based on the current growth rate, development in Beijing will heavily depend on external resources that may make the system being more fragile in the future. A lower economic growth rate and a small increase in environmental preservation investment are more suitable for in Beijing than area higher economic growth rate and a large increase in environmental preservation investment. - Highlights: • A Systems Dynamics model simulating urban emergy flows is set up. • Current economic development of Beijing depends on high consumption of resources. • Beijing has extreme and increasing dependence on external resources. • Beijing relies heavily on nonrenewable resources and its development is unsustainable. • Low GDP growth is better than high GDP growth with increased environmental investment.

  15. Power system operational security analysis to obtain sustainable, strategic and economic dispatch

    International Nuclear Information System (INIS)

    Khan, R.A.J.; Alemadi, N.; Mulla, Y.A.; Choudhry, T.M.

    2006-01-01

    This paper addresses the most critical question that is static/online security system n power system operation and managements. Therefore, we do originated couple of models with their operational scenarios. How to identify the main security constraints and their most suitable reinforcements needed to maintain the system security as per determine boundary. It would also render instrumental approach to enhance the security operational constraints. Therefore, it will also provide the system operator to take preventive action or formulate the action plan prior to contingencies occurred In past the both demand side management system and load shedding have been used for to provide reliable power system under normal or emergency operation and control [4,5 J.) (author)

  16. Multi-area economic dispatch with tie-line constraints employing ...

    African Journals Online (AJOL)

    The paper presents an extensive comparison of the search capability and convergence behavior of i) Classical differential evolution (DE) and its various strategies ii) Classical particle swarm optimization (PSO) and iii) An improved PSO with a parameter automation strategy having time varying acceleration coefficients ...

  17. Reserve-Constrained Multiarea Environmental/Economic Dispatch Using Enhanced Particle Swarm Optimization

    OpenAIRE

    Wang, Lingfeng; Singh, Chanan

    2007-01-01

    Source: Swarm Intelligence: Focus on Ant and Particle Swarm Optimization, Book edited by: Felix T. S. Chan and Manoj Kumar Tiwari, ISBN 978-3-902613-09-7, pp. 532, December 2007, Itech Education and Publishing, Vienna, Austria

  18. Cost-Based Droop Schemes for Economic Dispatch in Islanded Microgrids

    DEFF Research Database (Denmark)

    Chen, Feixiong; Chen, Minyou; Li, Qiang

    2017-01-01

    In this paper, cost based droop schemes are proposed, to minimize the total active power generation cost in an islanded microgrid (MG), while the simplicity and decentralized nature of the droop control are retained. In cost based droop schemes, the incremental costs of distributed generators (DGs......) are embedded into the droop schemes, where the incremental cost is a derivative of the DG cost function with respect to output power. In the steady state, DGs share a single common frequency, and cost based droop schemes equate incremental costs of DGs, thus minimizing the total active power generation cost......, in terms of the equal incremental cost principle. Finally, simulation results in an islanded MG with high penetration of intermittent renewable energy sources are presented, to demonstrate the eectiveness, as well as plug and play capability of the cost based droop schemes....

  19. Dynamic impact of urbanization, economic growth, energy consumption, and trade openness on CO 2 emissions in Nigeria.

    Science.gov (United States)

    Ali, Hamisu Sadi; Law, Siong Hook; Zannah, Talha Ibrahim

    2016-06-01

    The objective of this paper is to examine the dynamic impact of urbanization, economic growth, energy consumption, and trade openness on CO 2 emissions in Nigeria based on autoregressive distributed lags (ARDL) approach for the period of 1971-2011. The result shows that variables were cointegrated as null hypothesis was rejected at 1 % level of significance. The coefficients of long-run result reveal that urbanization does not have any significant impact on CO 2 emissions in Nigeria, economic growth, and energy consumption has a positive and significant impact on CO 2 emissions. However, trade openness has negative and significant impact on CO 2 emissions. Consumption of energy is among the main determinant of CO 2 emissions which is directly linked to the level of income. Despite the high level of urbanization in the country, consumption of energy still remains low due to lower income of the majority populace and this might be among the reasons why urbanization does not influence emissions of CO 2 in the country. Initiating more open economy policies will be welcoming in the Nigerian economy as the openness leads to the reduction of pollutants from the environment particularly CO 2 emissions which is the major gases that deteriorate physical environment.

  20. Integrating spread dynamics and economics of timber production to manage Chinese tallow invasions in southern U.S. forestlands.

    Directory of Open Access Journals (Sweden)

    Hsiao-Hsuan Wang

    Full Text Available Economic costs associated with the invasion of nonnative species are of global concern. We estimated expected costs of Chinese tallow (Triadica sebifera (L. Small invasions related to timber production in southern U.S. forestlands under different management strategies. Expected costs were confined to the value of timber production losses plus costs for search and control. We simulated management strategies including (1 no control (NC, and control beginning as soon as the percentage of invaded forest land exceeded (2 60 (Low Control, (3 25 (Medium Control, or (4 0 (High Control using a spatially-explicit, stochastic, bioeconomic model. With NC, simulated invasions spread northward and westward into Arkansas and along the Gulf of Mexico to occupy ≈1.2 million hectares within 20 years, with associated expected total costs increasing exponentially to ≈$300 million. With LC, MC, and HC, invaded areas reached ≈275, 34, and 2 thousand hectares after 20 years, respectively, with associated expected costs reaching ≈$400, $230, and $200 million. Complete eradication would not be cost-effective; the minimum expected total cost was achieved when control began as soon as the percentage of invaded land exceeded 5%. These results suggest the importance of early detection and control of Chinese tallow, and emphasize the importance of integrating spread dynamics and economics to manage invasive species.

  1. On the Morphology of a Growing City: A Heuristic Experiment Merging Static Economics with Dynamic Geography.

    Science.gov (United States)

    Delloye, Justin; Peeters, Dominique; Thomas, Isabelle

    2015-01-01

    In this paper, we aim at exploring how individual location decisions affect the shape of a growing city and, more precisely, how they may add up to a configuration that diverges from equilibrium configurations formulated ex-ante. To do so, we provide a two-sector city model merging a static equilibrium analysis with agent-based simulations. Results show that under strong agglomeration effects, urban development is monotonic and ends up with circular, monocentric long-term configurations. For low agglomeration effects however, elongated and multicentric urban configurations may emerge. The occurrence and underlying dynamics of these configurations are also discussed regarding commuting costs and the distance-decay of agglomeration economies between firms. To sum up, our paper warns urban planning policy makers against the difference that may stand between appropriate long-term perspectives, represented here by analytic equilibrium configurations, and short-term urban configurations, simulated here by a multi-agent system.

  2. An economic perspective on experience curves and dynamic economies in renewable energy technologies

    International Nuclear Information System (INIS)

    Papineau, Maya

    2006-01-01

    This paper analyzes dynamic economies in renewable energy technologies. The paper has two contributions. The first is to test the robustness of experience in solar photovoltaic, solar thermal and wind energy to the addition of an explicit time trend, which has been done in experience studies for other industries, but not for renewable energy technologies. Estimation is carried out on the assumption that cumulative capacity, industry production, average firm production, and electricity generation affect experience and thus the fall in price. The second contribution is to test the impact of R and D on price reduction. In general cumulative experience is found to be highly statistically significant when estimated alone, and highly statistically insignificant when time is added to the model. The effect of R and D is small and statistically significant in solar photovoltaic technology and statistically insignificant in solar thermal and wind technologies

  3. Dynamically linking economic models to ecological condition for coastal zone management: Application to sustainable tourism planning.

    Science.gov (United States)

    Dvarskas, Anthony

    2017-03-01

    While the development of the tourism industry can bring economic benefits to an area, it is important to consider the long-run impact of the industry on a given location. Particularly when the tourism industry relies upon a certain ecological state, those weighing different development options need to consider the long-run impacts of increased tourist numbers upon measures of ecological condition. This paper presents one approach for linking a model of recreational visitor behavior with an ecological model that estimates the impact of the increased visitors upon the environment. Two simulations were run for the model using initial parameters available from survey data and water quality data for beach locations in Croatia. Results suggest that the resilience of a given tourist location to the changes brought by increasing tourism numbers is important in determining its long-run sustainability. Further work should investigate additional model components, including the tourism industry, refinement of the relationships assumed by the model, and application of the proposed model in additional areas. Copyright © 2016 Elsevier Ltd. All rights reserved.

  4. An Economic Simulation of the Path to Sustainable Energy: A Dynamic Analysis

    Directory of Open Access Journals (Sweden)

    Charles F. Mason

    2017-05-01

    Full Text Available The existing economics literature neglects the important role of capacity in the production of renewable energy. To fill this gap, we construct a model in which renewable energy production is tied to renewable energy capacity, which then becomes a form of capital. This capacity capital can be increased through investment, which we interpret as arising from the allocation of energy, and which therefore comes at the cost of reduced general production. Requiring societal well-being to never decline—the notion of sustainability favored by economists—we describe how society could optimally elect to split energy in this fashion, the use of non-renewable energy resources, the use of renewable energy resources, and the implied time path of societal well-being. Our model delivers an empirically satisfactory explanation for simultaneous use of non-renewable and renewable energy. We also discuss the optimality of ceasing use of non-renewable energy before the non-renewable resource stock is fully exhausted.

  5. The dynamic relationship between homicide rates and social, economic, and political factors from 1970 to 2000*.

    Science.gov (United States)

    McCall, Patricia L; Parker, Karen F; MacDonald, John M

    2008-09-01

    After reaching their highest levels of the 20th century, homicide rates in the United States declined precipitously in the early 1990s. This study examines a number of factors that might have contributed to both the sharp increase and decline in homicide rates. We use a pooled cross-sectional time series model to assess the relationship between changes in structural conditions and the change in homicide rates over four decennial time points (1970, 1980, 1990, and 2000). We assess the extent to which structural covariates associated with social, economic and political conditions commonly used in homicide research (e.g., urban decay, poverty, and the weakening of family and social bonds) are related to the change in homicide rates. Along with these classic covariates, we incorporate some contemporary explanations (e.g., imprisonment rates and drug trafficking) that have been proposed to address the recent decline in urban homicide rates. Our results indicate that both classic and contemporary explanations are related to homicide trends over the last three decades of the 20th century. Specifically, changes in resource deprivation and in the relative size of the youth population are associated with changes in the homicide rate across these time points. Increased imprisonment is also significantly related to homicide changes. These findings lead us to conclude that efforts to understand the changing nature of homicide will require serious consideration, if not integration, of classic and contemporary explanations.

  6. The Optimization dispatching of Micro Grid Considering Load Control

    Science.gov (United States)

    Zhang, Pengfei; Xie, Jiqiang; Yang, Xiu; He, Hongli

    2018-01-01

    This paper proposes an optimization control of micro-grid system economy operation model. It coordinates the new energy and storage operation with diesel generator output, so as to achieve the economic operation purpose of micro-grid. In this paper, the micro-grid network economic operation model is transformed into mixed integer programming problem, which is solved by the mature commercial software, and the new model is proved to be economical, and the load control strategy can reduce the charge and discharge times of energy storage devices, and extend the service life of the energy storage device to a certain extent.

  7. Qualitative Economics

    DEFF Research Database (Denmark)

    Fast, Michael; Clark, Woodrow

    2012-01-01

    Focus in this paper is on building a science of economics, grounded in understanding of organizations and what is beneath the surface of economic structures and activities. As a science Economics should be concerned with its assumptions, logic and lines of arguments, and how to develop theories...... and formulate ideas of reality. There is a disconnection between a science of economics focuses on structures and universal laws from what is experienced in everyday of life of business activity. The everyday of life of business is processual, dynamic and contradictional. This discussion of how to understand...... the everyday economic life is the central issue and is discussed from the perspective of interactionism. It is a perspective developed from the Lifeworld philosophical traditions, such as symbolic interactionism and phenomenology, seeking to develop the thinking of economics. The argument is that economics...

  8. Political dynamics of economic sanctions: a case study of Arab oil embargoes

    Energy Technology Data Exchange (ETDEWEB)

    Daoudi, M.S.

    1981-01-01

    The general question is considered of the effectiveness of economic sanctions in international politics, in terms of the Arabs' use of oil as a political weapon in 1956, 1967, and 1973. Chapter 3 focuses on the impact of the interruption of oil supplies to Western Europe throughout the 1956 Suez crisis. By 1967, pressure on the conservative governing elites of Saudi Arabia, Kuwait, Libya, and the Gulf Sheikdoms obliged these states to join Iraq and Algeria in imposing production cutbacks and an embargo. Yet the conservative regimes' ties to the West, and the control exerted by multinational oil corporations over all phases of their oil industry, insured that the embargo was not enforced. Chapter 4 explains historically how, by the late 1960s, relinquishment of old concessions, nationalization acts, and participation agreements had caused a decline in the multinationals' domination of the oil industry. The rise of OPEC and OAPEC, which by 1970 had united and organized the producing governments, channeled their demands, and created an international forum for their political grievances, is discussed. Chapter 5 considers how by 1973 international and Arab political developments had forced states like Saudi Arabia, which had sought to dissociate oil and politics, to unsheathe the oil weapon and wave it in the faces of their Western allies. The author concludes from analysis of these complex cases that scholarship has exaggerated the inefficacy of sanctions. The effectiveness of sanctions is seen to depend upon how the demands are formulated and presented and to what extent they can be negotiated, as well as upon the sociopolitical, cultural, and psychological characteristics of the target population.

  9. A combined pool/bilateral dispatch model for electricity markets with security constraints Un modelo combinado de despacho pool/bilateral para mercados

    Directory of Open Access Journals (Sweden)

    Jesús María López–Lezama

    2011-06-01

    Full Text Available The secure operation of the electric power system is a challenging task for the system operator which is responsible of its coordination, control and monitoring. In most power systems security is typically handled on a multi–stateapproach. In which case, security criteria are incorporated by means of additional constraints, modifying the initial dispatch calculation. In this papera generation dispatch model for competitive energy markets considering security constraints is presented. The proposed approach combines the generationdispatch related to pool and bilateral markets with coupled post–contingency optimal power flows into a single optimal dispatch model, avoiding economic inefficiencies that appear in conventional multi–stage dispatch approaches.The proposed model is linear, and as such, it is based on a DC model of the network. A 6–bus didactic system and the IEEE RTS–24 bus test systemare used in order to show the operation and effectiveness of the proposed approach and to compare it with the basic pool/bilateral dispatch with no security constraints. Results show that the inclusion of security constraints leadto a higher dispatch cost. Furthermore, it was found that the enforcement offirmed bilateral contracts might lead to system congestion.La operacíon segura del sistema de potencia es una tarea difícil para el operador del sistema, el cual es responsable por la coordinación, control y monitoreo de este. En la mayoría de los sistemas de potencia, la seguridad es manejada mediante una metodología multi–etapa. En este caso, los criterios de seguridad son incorporados mediante restricciones adicionales que modifican el cálculo de despacho inicial. En este artículo se presenta un modelo de despacho de generación para mercados eléctricos competitivos considerando restricciones de seguridad. La metodología propuesta combina el despacho de generación de mercados pool y contratos bilaterales con flujos de potencia

  10. Coupling environmental, social and economic models to understand land-use change dynamics in the Mekong Delta

    Directory of Open Access Journals (Sweden)

    Alexis eDrogoul

    2016-03-01

    Full Text Available The Vietnamese Mekong Delta has undergone in recent years a considerable transformation in agricultural land-use, fueled by a boom of the exportation, an increase of population, a focus on intensive crops, but also environmental factors like sea level rise or the progression of soil salinity. These transformations have been, however, largely misestimated by the ten-year agricultural plans designed at the provincial levels, on the predictions of which, though, most of the large-scale investments (irrigation infrastructures, protection against flooding or salinity intrusion, and so on are normally planned. This situation raises the question of how to explain the divergence between the predictions used as a basis for these plans and the actual situation. Answering it could, as a matter of fact, offer some insights on the dynamics at play and hopefully allow designing them more accurately.The dynamics of land-use change at a scale of a region results from the interactions between heterogeneous actors and factors at different scales, among them institutional policies, individual farming choices, land-cover and environmental changes, economic conditions, social dynamics, just to name a few. Understanding its evolution, for example, in this case, to better support agricultural planning, therefore requires the use of models that can represent the individual contributions of each actor or factor, and of course their interactions.We address this question through the design of an integrated hybrid model of land-use change in a specific and carefully chosen case study, which relies on the central hypothesis that the main force driving land-use change is actually the individual choices made by farmers at their local level. Farmers are the actors who decide (or not to switch from one culture to another and the shifts observed at more global levels (village, district, province, region are considered, in this model, as a consequence of the aggregation of these

  11. Statistical characteristics of dynamics for population migration driven by the economic interests

    Science.gov (United States)

    Huo, Jie; Wang, Xu-Ming; Zhao, Ning; Hao, Rui

    2016-06-01

    Population migration typically occurs under some constraints, which can deeply affect the structure of a society and some other related aspects. Therefore, it is critical to investigate the characteristics of population migration. Data from the China Statistical Yearbook indicate that the regional gross domestic product per capita relates to the population size via a linear or power-law relation. In addition, the distribution of population migration sizes or relative migration strength introduced here is dominated by a shifted power-law relation. To reveal the mechanism that creates the aforementioned distributions, a dynamic model is proposed based on the population migration rule that migration is facilitated by higher financial gains and abated by fewer employment opportunities at the destination, considering the migration cost as a function of the migration distance. The calculated results indicate that the distribution of the relative migration strength is governed by a shifted power-law relation, and that the distribution of migration distances is dominated by a truncated power-law relation. These results suggest the use of a power-law to fit a distribution may be not always suitable. Additionally, from the modeling framework, one can infer that it is the randomness and determinacy that jointly create the scaling characteristics of the distributions. The calculation also demonstrates that the network formed by active nodes, representing the immigration and emigration regions, usually evolves from an ordered state with a non-uniform structure to a disordered state with a uniform structure, which is evidenced by the increasing structural entropy.

  12. Defusing the Debugging Scandal - Dedicated Debugging Technologies for Advanced Dispatching Languages

    NARCIS (Netherlands)

    Yin, Haihan

    2013-01-01

    To increase program modularity, new programming paradigms, such as aspect-oriented programming, context-oriented programming, and predicated dispatching, have been researched in recent years. The new-paradigm languages allow changing behavior according to various kinds of contexts at the call sites.

  13. A multi-criteria decision making framework for aircraft dispatch assessment

    NARCIS (Netherlands)

    Koornneef, H.; Verhagen, W.J.C.; Curran, R.; Chen, C.H.; Trappey, A.C.; Peruzzini, M.; Stjepandić, J.; Wognum, N.

    2017-01-01

    The aircraft dispatch decision is a complex analysis based on many factors related to airworthiness regulations, aircraft health status, resource availability at current and future stop(s) and operational preferences of the operator. Within the turnaround time (TAT) a decision has to be made

  14. A Wind Farm Active Power Dispatch Strategy for Fatigue Load Reduction

    DEFF Research Database (Denmark)

    Zhang, Baohua; N. Soltani, Mohsen; Hu, Weihao

    2016-01-01

    One of the biggest challenges in wind farm management is to cope with requirements from the grid companies and to optimize efficiency and minimize wear on wind turbines. This paper addresses an optimized active power dispatch strategy of a wind farm to reduce the fatigue load of wind turbines, wh...

  15. Cooperative Operation of Battery Energy Storage System and Dispatchable Distributed Generations in Microgrid System

    DEFF Research Database (Denmark)

    Zhao, Haoran; Cha, Seung-Tae; Rasmussen, Claus Nygaard

    Microgrid is an efficient solution to the utilization of renewable energy. According to the different operations (grid-connected or islanded), a fuzzy-logic based control strategy between BESS and dispatchable DG units is proposed in this paper, where the BESS plays a key role. The effectiveness...

  16. A robust optimization approach to energy and reserve dispatch in electricity markets

    DEFF Research Database (Denmark)

    Zugno, Marco; Conejo, Antonio J.

    2015-01-01

    To a large extent, electricity markets worldwide still rely on deterministic procedures for clearing energy and reserve auctions. However, increasing shares of the production mix consist of renewable sources whose nature is stochastic and non-dispatchable, as their output is uncertain and cannot...

  17. A Robust Optimization Approach to Energy and Reserve Dispatch in Electricity Markets

    DEFF Research Database (Denmark)

    Zugno, Marco; Conejo, Antonio J.

    To a large extent, electricity markets worldwide still rely on deterministic procedures for clearing energy and reserve auctions. However, larger and larger shares of the production mix consist of renewable sources whose nature is stochastic and non-dispatchable, as their output is not known...

  18. Reactive Power Dispatch for Loss Minimization of a Doubly Fed Induction Generator Based Wind Farm

    DEFF Research Database (Denmark)

    Zhang, Baohua; Hu, Weihao; Hou, Peng

    2014-01-01

    This paper proposes an optimal reactive power dispatching strategy in order to minimize the total losses in a DFIG based wind farm, including the copper loss of the generators, the losses of converters, filters, transformers and the losses of cables. The reactive power constraints, bus voltage...

  19. Joint energy and reserve dispatch in a multi-area competitive market ...

    African Journals Online (AJOL)

    ... multi-product, multi-area market dispatch problem with physical and operational constraints. The proposed approach effectively handles the complex constraints like reserve requirements, zonal power balance constraints, area spinning reserve constraints, tie-line constraints and reserve and capacity coupling constraints.

  20. [Coping strategy and its effect on occupational stress among rail freight dispatchers].

    Science.gov (United States)

    Gu, Gui-zhen; Yu, Shan-fa; Li, Kui-rong; Jiang, Kai-you

    2010-08-01

    To analyse the relationship between coping strategy and occupational stress in rail freight dispatchers. 115 rail freight dispatchers were investigated by using group sampling method, investigation contents included coping strategies, occupational stressors, strains and personalities. The proportion of using coping strategy in rail freight dispatchers is lower. The scores of job future ambiguity, type A behavior and work locus of control in workers with insufficient coping strategy were higher than those in workers with sufficient strategy (P personality variables between workers with insufficient and those with sufficient in social support, job-family balance, job involvement coping factors of coping strategy were remarkable significant (P personality variables between workers with insufficient and those with sufficient in ask, logic and time management factors of coping strategy weren't significant (P > 0.05). Logistic regression analysis showed that risk of being job dissatisfaction and daily life stress in workers with insufficient social support coping was three or four times than those with sufficient coping (OR = 3.06 or 4.38, respectively), risk of being daily life stress in workers with insufficient job involvement coping was three times than those with sufficient coping (OR = 3.26). The proportion of using coping strategy in rail freight dispatchers is lower. Coping strategy has influence on the individual's perception of occuaptional stressors, strains and personalities.

  1. The Optimal Dispatch of a Power System Containing Virtual Power Plants under Fog and Haze Weather

    Directory of Open Access Journals (Sweden)

    Yajing Gao

    2016-01-01

    Full Text Available With the growing influence of fog and haze (F-H weather and the rapid development of distributed energy resources (DERs and smart grids, the concept of the virtual power plant (VPP employed in this study would help to solve the dispatch problem caused by multiple DERs connected to the power grid. The effects of F-H weather on photovoltaic output forecast, load forecast and power system dispatch are discussed according to real case data. The wavelet neural network (WNN model was employed to predict photovoltaic output and load, considering F-H weather, based on the idea of “similar days of F-H”. The multi-objective optimal dispatch model of a power system adopted in this paper contains several VPPs and conventional power plants, under F-H weather, and the mixed integer linear programming (MILP and the Yalmip toolbox of MATLAB were adopted to solve the dispatch model. The analysis of the results from a case study proves the validity and feasibility of the model and the algorithms.

  2. Accuracy of Emergency Medical Services Dispatcher and Crew Diagnosis of Stroke in Clinical Practice

    Directory of Open Access Journals (Sweden)

    Judy Jia

    2017-09-01

    Full Text Available BackgroundAccurate recognition of stroke symptoms by Emergency Medical Services (EMS is necessary for timely care of acute stroke patients. We assessed the accuracy of stroke diagnosis by EMS in clinical practice in a major US city.Methods and resultsPhiladelphia Fire Department data were merged with data from a single comprehensive stroke center to identify patients diagnosed with stroke or TIA from 9/2009 to 10/2012. Sensitivity and positive predictive value (PPV were calculated. Multivariable logistic regression identified variables associated with correct EMS diagnosis. There were 709 total cases, with 400 having a discharge diagnosis of stroke or TIA. EMS crew sensitivity was 57.5% and PPV was 69.1%. EMS crew identified 80.2% of strokes with National Institutes of Health Stroke Scale (NIHSS ≥5 and symptom duration <6 h. In a multivariable model, correct EMS crew diagnosis was positively associated with NIHSS (NIHSS 5–9, OR 2.62, 95% CI 1.41–4.89; NIHSS ≥10, OR 4.56, 95% CI 2.29–9.09 and weakness (OR 2.28, 95% CI 1.35–3.85, and negatively associated with symptom duration >270 min (OR 0.41, 95% CI 0.25–0.68. EMS dispatchers identified 90 stroke cases that the EMS crew missed. EMS dispatcher or crew identified stroke with sensitivity of 80% and PPV of 50.9%, and EMS dispatcher or crew identified 90.5% of patients with NIHSS ≥5 and symptom duration <6 h.ConclusionPrehospital diagnosis of stroke has limited sensitivity, resulting in a high proportion of missed stroke cases. Dispatchers identified many strokes that EMS crews did not. Incorporating EMS dispatcher impression into regional protocols may maximize the effectiveness of hospital destination selection and pre-notification.

  3. Mobile-phone dispatch of laypersons for CPR in out-of-hospital cardiac arrest.

    Science.gov (United States)

    Ringh, Mattias; Rosenqvist, Mårten; Hollenberg, Jacob; Jonsson, Martin; Fredman, David; Nordberg, Per; Järnbert-Pettersson, Hans; Hasselqvist-Ax, Ingela; Riva, Gabriel; Svensson, Leif

    2015-06-11

    Cardiopulmonary resuscitation (CPR) performed by bystanders is associated with increased survival rates among persons with out-of-hospital cardiac arrest. We investigated whether rates of bystander-initiated CPR could be increased with the use of a mobile-phone positioning system that could instantly locate mobile-phone users and dispatch lay volunteers who were trained in CPR to a patient nearby with out-of-hospital cardiac arrest. We conducted a blinded, randomized, controlled trial in Stockholm from April 2012 through December 2013. A mobile-phone positioning system that was activated when ambulance, fire, and police services were dispatched was used to locate trained volunteers who were within 500 m of patients with out-of-hospital cardiac arrest; volunteers were then dispatched to the patients (the intervention group) or not dispatched to them (the control group). The primary outcome was bystander-initiated CPR before the arrival of ambulance, fire, and police services. A total of 5989 lay volunteers who were trained in CPR were recruited initially, and overall 9828 were recruited during the study. The mobile-phone positioning system was activated in 667 out-of-hospital cardiac arrests: 46% (306 patients) in the intervention group and 54% (361 patients) in the control group. The rate of bystander-initiated CPR was 62% (188 of 305 patients) in the intervention group and 48% (172 of 360 patients) in the control group (absolute difference for intervention vs. control, 14 percentage points; 95% confidence interval, 6 to 21; Pmobile-phone positioning system to dispatch lay volunteers who were trained in CPR was associated with significantly increased rates of bystander-initiated CPR among persons with out-of-hospital cardiac arrest. (Funded by the Swedish Heart-Lung Foundation and Stockholm County; ClinicalTrials.gov number, NCT01789554.).

  4. A Feeder-Bus Dispatch Planning Model for Emergency Evacuation in Urban Rail Transit Corridors

    Science.gov (United States)

    Wang, Yun; Yan, Xuedong; Zhou, Yu; Zhang, Wenyi

    2016-01-01

    The mobility of modern metropolises strongly relies on urban rail transit (URT) systems, and such a heavy dependence causes that even minor service interruptions would make the URT systems unsustainable. This study aims at optimally dispatching the ground feeder-bus to coordinate with the urban rails’ operation for eliminating the effect of unexpected service interruptions in URT corridors. A feeder-bus dispatch planning model was proposed for the collaborative optimization of URT and feeder-bus cooperation under emergency situations and minimizing the total evacuation cost of the feeder-buses. To solve the model, a concept of dummy feeder-bus system is proposed to transform the non-linear model into traditional linear programming (ILP) model, i.e., traditional transportation problem. The case study of Line #2 of Nanjing URT in China was adopted to illustrate the model application and sensitivity analyses of the key variables. The modeling results show that as the evacuation time window increases, the total evacuation cost as well as the number of dispatched feeder-buses decrease, and the dispatched feeder-buses need operate for more times along the feeder-bus line. The number of dispatched feeder-buses does not show an obvious change with the increase of parking spot capacity and time window, indicating that simply increasing the parking spot capacity would cause huge waste for the emergent bus utilization. When the unbalanced evacuation demand exists between stations, the more feeder-buses are needed. The method of this study will contribute to improving transportation emergency management and resource allocation for URT systems. PMID:27676179

  5. Adult vaccination strategies for the control of pertussis in the United States: an economic evaluation including the dynamic population effects.

    Directory of Open Access Journals (Sweden)

    Laurent Coudeville

    Full Text Available BACKGROUND: Prior economic evaluations of adult and adolescent vaccination strategies against pertussis have reached disparate conclusions. Using static approaches only, previous studies failed to analytically include the indirect benefits derived from herd immunity as well as the impact of vaccination on the evolution of disease incidence over time. METHODS: We assessed the impact of different pertussis vaccination strategies using a dynamic compartmental model able to consider pertussis transmission. We then combined the results with economic data to estimate the relative cost-effectiveness of pertussis immunization strategies for adolescents and adults in the US. The analysis compares combinations of programs targeting adolescents, parents of newborns (i.e. cocoon strategy, or adults of various ages. RESULTS: In the absence of adolescent or adult vaccination, pertussis incidence among adults is predicted to more than double in 20 years. Implementing an adult program in addition to childhood and adolescent vaccination either based on 1 a cocoon strategy and a single booster dose or 2 a decennial routine vaccination would maintain a low level of pertussis incidence in the long run for all age groups (respectively 30 and 20 cases per 100,000 person years. These strategies would also result in significant reductions of pertussis costs (between -77% and -80% including additional vaccination costs. The cocoon strategy complemented by a single booster dose is the most cost-effective one, whereas the decennial adult vaccination is slightly more effective in the long run. CONCLUSIONS: By providing a high level of disease control, the implementation of an adult vaccination program against pertussis appears to be highly cost-effective and often cost-saving.

  6. A Bi-Level Particle Swarm Optimization Algorithm for Solving Unit Commitment Problems with Wind-EVs Coordinated Dispatch

    Science.gov (United States)

    Song, Lei; Zhang, Bo

    2017-07-01

    Nowadays, the grid faces much more challenges caused by wind power and the accessing of electric vehicles (EVs). Based on the potentiality of coordinated dispatch, a model of wind-EVs coordinated dispatch was developed. Then, A bi-level particle swarm optimization algorithm for solving the model was proposed in this paper. The application of this algorithm to 10-unit test system carried out that coordinated dispatch can benefit the power system from the following aspects: (1) Reducing operating costs; (2) Improving the utilization of wind power; (3) Stabilizing the peak-valley difference.

  7. Leaf and stem economics spectra drive diversity of functional plant traits in a dynamic global vegetation model.

    Science.gov (United States)

    Sakschewski, Boris; von Bloh, Werner; Boit, Alice; Rammig, Anja; Kattge, Jens; Poorter, Lourens; Peñuelas, Josep; Thonicke, Kirsten

    2015-01-22

    Functional diversity is critical for ecosystem dynamics, stability and productivity. However, dynamic global vegetation models (DGVMs) which are increasingly used to simulate ecosystem functions under global change, condense functional diversity to plant functional types (PFTs) with constant parameters. Here, we develop an individual- and trait-based version of the DGVM LPJmL (Lund-Potsdam-Jena managed Land) called LPJmL- flexible individual traits (LPJmL-FIT) with flexible individual traits) which we apply to generate plant trait maps for the Amazon basin. LPJmL-FIT incorporates empirical ranges of five traits of tropical trees extracted from the TRY global plant trait database, namely specific leaf area (SLA), leaf longevity (LL), leaf nitrogen content (N area ), the maximum carboxylation rate of Rubisco per leaf area (vcmaxarea), and wood density (WD). To scale the individual growth performance of trees, the leaf traits are linked by trade-offs based on the leaf economics spectrum, whereas wood density is linked to tree mortality. No preselection of growth strategies is taking place, because individuals with unique trait combinations are uniformly distributed at tree establishment. We validate the modeled trait distributions by empirical trait data and the modeled biomass by a remote sensing product along a climatic gradient. Including trait variability and trade-offs successfully predicts natural trait distributions and achieves a more realistic representation of functional diversity at the local to regional scale. As sites of high climatic variability, the fringes of the Amazon promote trait divergence and the coexistence of multiple tree growth strategies, while lower plant trait diversity is found in the species-rich center of the region with relatively low climatic variability. LPJmL-FIT enables to test hypotheses on the effects of functional biodiversity on ecosystem functioning and to apply the DGVM to current challenges in ecosystem management from local

  8. Health and economic impacts of an HIV intervention in out of treatment substance abusers: evidence from a dynamic model.

    Science.gov (United States)

    Richter, Anke; Loomis, Brett

    2005-02-01

    A community-based intervention program found that the high-risk target population interacts with its surrounding community as a source of drugs and prostitution, creating a measure of co-dependence in the health status of each group. The intervention collected extensive data on sexual and drug use practices in the target population. A dynamic compartment model estimates the epidemiological impact of the intervention, which serves as the basis for the economic assessment comparing intervention costs and lifetime HIV treatment costs. Approximately 2/3 of the new infections arise in the surrounding community. Intervention spillover benefits in the surrounding community are sufficient to make the intervention cost-saving in the first year--a savings of approximately 534,000 dollars. Conducting the intervention results in health benefits and cost-savings not only for the risk group, but for the entire community in which it resides. Quantifying the spillovers is vital to policymakers attempting to allocate scarce public health resources.

  9. Life cycle, techno-economic and dynamic simulation assessment of bioelectrochemical systems: A case of formic acid synthesis.

    Science.gov (United States)

    Shemfe, Mobolaji; Gadkari, Siddharth; Yu, Eileen; Rasul, Shahid; Scott, Keith; Head, Ian M; Gu, Sai; Sadhukhan, Jhuma

    2018-05-01

    A novel framework, integrating dynamic simulation (DS), life cycle assessment (LCA) and techno-economic assessment (TEA) of a bioelectrochemical system (BES), has been developed to study for the first time wastewater treatment by removal of chemical oxygen demand (COD) by oxidation in anode and thereby harvesting electron and proton for carbon dioxide reduction reaction or reuse to produce products in cathode. Increases in initial COD and applied potential increase COD removal and production (in this case formic acid) rates. DS correlations are used in LCA and TEA for holistic performance analyses. The cost of production of HCOOH is €0.015-0.005 g -1 for its production rate of 0.094-0.26 kg yr -1 and a COD removal rate of 0.038-0.106 kg yr -1 . The life cycle (LC) benefits by avoiding fossil-based formic acid production (93%) and electricity for wastewater treatment (12%) outweigh LC costs of operation and assemblage of BES (-5%), giving a net 61MJkg -1 HCOOH saving. Copyright © 2018 The Authors. Published by Elsevier Ltd.. All rights reserved.

  10. Economic impact of oil price shocks on the Turkish economy in the coming decades: A dynamic CGE analysis

    International Nuclear Information System (INIS)

    Aydin, Levent; Acar, Mustafa

    2011-01-01

    As a small open economy, Turkey depends on both imported oil and natural gas, importing almost two-thirds of its primary energy demand. This paper analyzes the economic effects of oil price shocks for Turkey as a small, open oil- and gas-importing country. To analyze the potential long-term effects of oil price shocks on macroeconomic variables of interest, including GDP, consumer price inflation, indirect tax revenues, trade balance, and carbon emissions, we developed TurGEM-D, a dynamic multisectoral general equilibrium model for the Turkish economy. Using TurGEM-D, we analyzed the impact of oil price shocks under three distinct scenarios: reference, high and low oil prices. The simulation results show that these oil prices have very significant effects on macro indicators and carbon emissions in the Turkish economy. - Research highlights: → World oil prices are projected to rise in coming decade, to around $185 per barrel in 2020. → If this occurs in Turkey, how to quantitatively evaluate the impacts on Turkish economy? → Cumulative output loss resulting from world oil prices increased by 121% can be as large as 14%. → Cumulative inflation as measured by CPI index can be nearly 5% under a fixed exchange rate regime. → Cumulative carbon emissions fall by around 51.7% without using any tools for climate change policy.

  11. An artificial ecosystem model used in the study of social, economic and technological dynamics: An artificial electrical energy market

    International Nuclear Information System (INIS)

    Arjona, D.

    1998-01-01

    This paper will present the artificial ecosystem as a tool, in the development of multi agent models for the simulation of economic and technological dynamics (as well as other possible applications). This tool is based on the mechanics of an artificial society and consists of autonomous artificial agents that interact with individuals that have different characteristics and behavior and other that have a similar conduct to their own. Initial conditions are assumed not to be controllable, however they can be influenced. The importance of the concept of the ecosystem is in understanding great units in the light of their own components which are relevant for the analysis and become interdependent among themselves and with other essential components that hold the total operation of the system. Ideas for the development of a simulation model based on autonomous intelligent agents are presented. These agents will have a brain that is based on artificial intelligence technologies. The Sand Kings Simulation Model, an artificial ecosystem model developed by the author, is described as well as the application of artificial intelligence to this artificial life model. An application to a real life problem is also offered as an artificial energy market that is currently being developed by the author is described

  12. Implementation of the ALERT algorithm, a new dispatcher-assisted telephone cardiopulmonary resuscitation protocol, in non-Advanced Medical Priority Dispatch System (AMPDS) Emergency Medical Services centres.

    Science.gov (United States)

    Stipulante, Samuel; Tubes, Rebecca; El Fassi, Mehdi; Donneau, Anne-Francoise; Van Troyen, Barbara; Hartstein, Gary; D'Orio, Vincent; Ghuysen, Alexandre

    2014-02-01

    Early bystander cardiopulmonary resuscitation (CPR) is a key factor in improving survival from out-of-hospital cardiac arrest (OHCA). The ALERT (Algorithme Liégeois d'Encadrement à la Réanimation par Téléphone) algorithm has the potential to help bystanders initiate CPR. This study evaluates the effectiveness of the implementation of this protocol in a non-Advanced Medical Priority Dispatch System area. We designed a before and after study based on a 3-month retrospective assessment of victims of OHCA in 2009, before the implementation of the ALERT protocol in Liege emergency medical communication centre (EMCC), and the prospective evaluation of the same 3 months in 2011, immediately after the implementation. At the moment of the call, dispatchers were able to identify 233 OHCA in the first period and 235 in the second. Victims were predominantly male (59%, both periods), with mean ages of 64.1 and 63.9 years, respectively. In 2009, only 9.9% victims benefited from bystander CPR, this increased to 22.5% in 2011 (p<0.0002). The main reasons for protocol under-utilisation were: assistance not offered by the dispatcher (42.3%), caller physically remote from the victim (20.6%). Median time from call to first compression, defined here as no flow time, was 253s in 2009 and 168s in 2011 (NS). Ten victims were admitted to hospital after ROSC in 2009 and 13 in 2011 (p=0.09). From the beginning and despite its under-utilisation, the ALERT protocol significantly improved the number of patients in whom bystander CPR was attempted. Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

  13. Experimental Research and Control Strategy of Pumped Storage Units Dispatching in the Taiwan Power System Considering Transmission Line Limits

    Directory of Open Access Journals (Sweden)

    Ming-Tse Kuo

    2013-07-01

    Full Text Available Taiwan’s power system is isolated and not supported by other interconnected systems. Consequently, the system frequency immediately reflects changes in the system loads. Pumped storage units are crucial for controlling power frequency. These units provide main or auxiliary capacities, reducing the allocation of frequency-regulating reserve (FRR and further reducing generation costs in system operations. Taiwan’s Longmen Nuclear Power Plant is set to be converted for commercial operations, which will significantly alter the spinning reserves in the power system. Thus, this study proposes a safe and economic pumped storage unit dispatch strategy. This strategy is used to determine the optimal FRR capacity and 1-min recovery frequency in a generator failure occurrence at the Longmen Power Plant. In addition, this study considered transmission capacity constraints and conducted power flow analysis of the power systems in Northern, Central, and Southern Taiwan. The results indicated that, in the event of a failure at Longmen Power Plant, the proposed strategy can not only recover the system frequency to an acceptable range to prevent underfrequency load-shedding, but can also mitigate transmission line overloading.

  14. Techno-economic comparison of combined cycle gas turbines with advanced membrane configuration and MEA solvent at part load conditions

    NARCIS (Netherlands)

    Van Der Spek, Mijndert; Bonalumi, Davide; Manzolini, Giampaolo; Ramirez, Andrea; Faaij, André P.C.

    2018-01-01

    This work compares the part load techno-economic performance of CO2 capture from a CCGT using a membrane configuration with selective CO2 recycle and using MEA solvent, under the assumption of flexible power plant dispatch. This is the first time that the techno-economic performance of CO2 capture

  15. Packaging, carriage and dispatching fuel and radioactive materials, IAEA regulations

    International Nuclear Information System (INIS)

    White, M.

    1981-01-01

    The need to bring fuel and other radioactive substances into a nuclear power plant and to send out irradiated or contaminated materials: spent fuel, activated equipment, used filters, resin and clothing, etc. gives rise to the question: How can these materials be transported safely and economically. The purpose of this paper is to answer that question by providing information on the regulatory requirements that have been developed for packaging, labelling and handling and on the containers which are being employed. (orig./RW)

  16. Mixed integer non-linear programming and Artificial Neural Network based approach to ancillary services dispatch in competitive electricity markets

    International Nuclear Information System (INIS)

    Canizes, Bruno; Soares, João; Faria, Pedro; Vale, Zita

    2013-01-01

    Highlights: • Ancillary services market management. • Ancillary services requirements forecast based on Artificial Neural Network. • Ancillary services clearing mechanisms without complex bids and with complex bids. - Abstract: Ancillary services represent a good business opportunity that must be considered by market players. This paper presents a new methodology for ancillary services market dispatch. The method considers the bids submitted to the market and includes a market clearing mechanism based on deterministic optimization. An Artificial Neural Network is used for day-ahead prediction of Regulation Down, regulation-up, Spin Reserve and Non-Spin Reserve requirements. Two test cases based on California Independent System Operator data concerning dispatch of Regulation Down, Regulation Up, Spin Reserve and Non-Spin Reserve services are included in this paper to illustrate the application of the proposed method: (1) dispatch considering simple bids; (2) dispatch considering complex bids

  17. Computer-aided dispatch--traffic management center field operational test final detailed test plan : WSDOT deployment

    Science.gov (United States)

    2003-10-01

    The purpose of this document is to expand upon the evaluation components presented in "Computer-aided dispatch--traffic management center field operational test final evaluation plan : WSDOT deployment". This document defines the objective, approach,...

  18. Multi-Fluid Geothermal Energy Systems: Using CO2 for Dispatchable Renewable Power Generation and Grid Stabilization

    Science.gov (United States)

    Buscheck, T. A.; Bielicki, J. M.; Randolph, J.; Chen, M.; Hao, Y.; Sun, Y.

    2013-12-01

    Abstract We present an approach to use CO2 to (1) generate dispatchable renewable power that can quickly respond to grid fluctuations and be cost-competitive with natural gas, (2) stabilize the grid by efficiently storing large quantities of energy, (3) enable seasonal storage of solar thermal energy for grid integration, (4) produce brine for power-plant cooling, all which (5) increase CO2 value, rendering CO2 capture to be commerically viable, while (6) sequestering huge quantities of CO2. These attributes reduce carbon intensity of electric power, and enable cost-competitive, dispatchable power from major sources of renewable energy: wind, solar, and geothermal. Conventional geothermal power systems circulate brine as the working fluid to extract heat, but the parasitic power load for this circulation can consume a large portion of gross power output. Recently, CO2 has been considered as a working fluid because its advantageous properties reduce this parasitic loss. We expand on this idea by using multiple working fluids: brine, CO2, and N2. N2 can be separated from air at lower cost than captured CO2, it is not corrosive, and it will not react with the formation. N2 also can improve the economics of energy production and enable energy storage, while reducing operational risk. Extracting heat from geothermal reservoirs often requires submersible pumps to lift brine, but these pumps consume much of the generated electricity. In contrast, our approach drives fluid circulation by injecting supplemental, compressible fluids (CO2, and N2) with high coefficients of thermal expansion. These fluids augment reservoir pressure, produce artesian flow at the producers, and reduce the parasitic load. Pressure augmentation is improved by the thermosiphon effect that results from injecting cold/dense CO2 and N2. These fluids are heated to reservoir temperature, greatly expand, and increase the artesian flow of brine and supplemental fluid at the producers. Rather than using

  19. The economics of electricity markets

    CERN Document Server

    Biggar, Darryl R

    2014-01-01

    With the transition to liberalized electricity markets in many countries, the shift to more environmentally sustainable forms of power generation and increasing penetration of electric vehicles and smart appliances, a fundamental understanding of the economic principles underpinning the electricity industry is vital. Using clarity and precision, the authors successfully explain economic theory of all liberalized electricity market types from a cross-disciplinary engineering and policy perspective. No prior engineering knowledge or economics expertise is assumed in introducing key ideas such as nodal pricing, optimal dispatch and efficient pricing or in extending those models to areas including investment, risk management and the handling of contingencies. Key features: Comprehensively covers the principles of all liberalized electricity market types, including the US, Europe, New Zealand and Australia. Provides up to date coverage of research and policy iss es, including design of financial transmission rig...

  20. Decreasing the dispatch time of medical reports sent from hospital to primary care with Lean Six Sigma.

    Science.gov (United States)

    Basta, Yara L; Zwetsloot, Inez M; Klinkenbijl, Jean H G; Rohof, Thomas; Monster, Mathijs M C; Fockens, Paul; Tytgat, Kristien M A J

    2016-10-01

    Timely communication is important to ensure high-quality health care. To facilitate this, the Gastro Intestinal Oncology Center Amsterdam (GIOCA) stipulated to dispatch medical reports on the day of the patient's visit. However, with the increasing number of patients, administrative processes at GIOCA were under pressure, and this standard was not met for the majority of patients. The aim and objective of this study was to dispatch 90% of medical reports on the day of the patient's visit by improving the logistic process. To assess the main causes for a prolonged dispatch time and to design improvements actions, the roadmap offered by Lean Six Sigma (LSS) was used, consisting of five phases: Define, Measure, Analyze, Improve and Control (DMAIC roadmap). Initially, 12.3% of the reports were dispatched on the day of the patient's visit. Three causes for a prolonged dispatch time were identified: (1) determining which doctors involved with treatment would compose the report; (2) the reports composed by a senior resident had to be reviewed by a medical specialist; and (3) a medical specialist had to authorize the administration to dispatch the reports. To circumvent these causes, a digital form was implemented in the electronic medical record that could be completed during the multidisciplinary team meeting. After implementation, 90.6% of the reports were dispatched on the day of the visit. The dispatch time of reports sent from hospital to primary care can be significantly reduced using Lean Six Sigma, improving the communication between hospital and primary care. © 2016 John Wiley & Sons, Ltd.