Electricity market equilibrium based on conjectural variations

被引:56
作者
Diaz, Cristian A. [1 ]
Villar, Jose [1 ]
Alberto Campos, Fco [1 ]
Reneses, Javier [1 ]
机构
[1] Comillas Pontifical Univ, Inst Res Technol, Tech Sch Engn, Madrid 28015, Spain
关键词
Electricity markets; Conjectures estimation; Equilibrium models; Conjectural variations; SPOT MARKET; COMPETITION; OLIGOPOLY; INDUSTRY; POWER; POOLCO; MODELS;
D O I
10.1016/j.epsr.2010.07.012
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Many of the models used for the representation of the generation companies' behavior in oligopolistic electricity markets are based on conjectural variation equilibria, which are a generalization of the classic Cournot approach. However, one of the main drawbacks of these approaches is the complexity of assigning adequate values to the conjectures, which can dramatically affect the results obtained from these models. This paper reviews and analyses the main formulations of conjectural equilibria applied to electricity markets. The paper shows how these different formulations are equivalent, and presents the relationships among the conjectures they use. Finally, it presents a brief overview on the main methods to estimate or compute the conjectures of these types of models. (C) 2010 Elsevier B.V. All rights reserved.
引用
收藏
页码:1572 / 1579
页数:8
相关论文
共 47 条
[1]  
[Anonymous], 12991702 TCA
[2]  
[Anonymous], 1992, Microeconomic analysis
[3]  
ARRIAGA JIP, 2005, WHITE PAPER REFORM R
[4]  
Baillo A., 2002, A methodology to develop optimal schedules and offering strategies for a generation company operating in a short-term electricity market
[5]   Theory and application of linear supply function equilibrium in electricity markets [J].
Baldick, R ;
Grant, R ;
Kahn, E .
JOURNAL OF REGULATORY ECONOMICS, 2004, 25 (02) :143-167
[6]   Medium-term generation programming in competitive environments:: a new optimisation approach for market equilibrium computing [J].
Barquín, J ;
Centeno, E ;
Reneses, J .
IEE PROCEEDINGS-GENERATION TRANSMISSION AND DISTRIBUTION, 2004, 151 (01) :119-126
[7]  
BATLLE C, 2007, POW SYST MOD C ATH G
[8]   STATISTICAL INFERENCE FOR PROBABILISTIC FUNCTIONS OF FINITE STATE MARKOV CHAINS [J].
BAUM, LE ;
PETRIE, T .
ANNALS OF MATHEMATICAL STATISTICS, 1966, 37 (06) :1554-&
[9]   An empirical analysis of the potential for market power in California's electricity industry [J].
Borenstein, S ;
Bushnell, J .
JOURNAL OF INDUSTRIAL ECONOMICS, 1999, 47 (03) :285-323
[10]  
Borenstein S., 1995, Utilities Policy, V5, P219, DOI 10.1016/0957-1787(96)00005-7