Analyzing oligopolistic electricity market using coevolutionary computation

被引:59
作者
Chen, H [1 ]
Wong, KP [1 ]
Nguyen, DHM [1 ]
Chung, CY [1 ]
机构
[1] Hong Kong Polytech Univ, Dept Elect Engn, Computat Intelligence Applicat Res Lab, Kowloon, Hong Kong, Peoples R China
基金
中国国家自然科学基金;
关键词
coevolutionary computation (CCEM); Cournot oligopoly; market simulation; Pareto improvement;
D O I
10.1109/TPWRS.2005.862005
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
This paper presents a new unified framework of electricity market analysis based on coevolutionary computation (CCEM) for both the one-shot and the repeated games of oligopolistic electricity markets. The standard Cournot model and the new Pareto improvement model are used. The linear and constant elasticity demand functions are considered. Case study shows that CCEM is highly efficient and can handle the nonlinear market models that are difficult to be handled by conventional methods. The framework presented in this paper can help to overcome the difficulties of demand function specification encountered by the Cournot models. CCEM is found to be an effective and powerful approach for electricity market analysis.
引用
收藏
页码:143 / 152
页数:10
相关论文
共 33 条
[21]  
Hogan WW, 1997, ENERGY J, V18, P107
[22]  
Jehle G. A., 2001, Advanced Microeconomic Theory
[23]   SUPPLY FUNCTION EQUILIBRIA IN OLIGOPOLY UNDER UNCERTAINTY [J].
KLEMPERER, PD ;
MEYER, MA .
ECONOMETRICA, 1989, 57 (06) :1243-1277
[24]   Natural dynamic equilibrium and multiple equilibria of competitive power markets [J].
Nguyen, DHM ;
Wong, KP .
IEE PROCEEDINGS-GENERATION TRANSMISSION AND DISTRIBUTION, 2002, 149 (02) :133-138
[25]   Market power and efficiency in a computational electricity market with discriminatory double-auction pricing [J].
Nicolaisen, J ;
Petrov, V ;
Tesfatsion, L .
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2001, 5 (05) :504-523
[26]   Cooperative Coevolution: An Architecture for Evolving Coadapted Subcomponents [J].
Potter, Mitchell A. ;
De Jong, Kenneth A. .
EVOLUTIONARY COMPUTATION, 2000, 8 (01) :1-29
[27]   Using co-evolutionary programming to simulate strategic behaviour in markets [J].
Price, TC .
JOURNAL OF EVOLUTIONARY ECONOMICS, 1997, 7 (03) :219-254
[28]   Genetic algorithm learning and evolutionary games [J].
Riechmann, T .
JOURNAL OF ECONOMIC DYNAMICS & CONTROL, 2001, 25 (6-7) :1019-1037
[29]  
Rudkevich A, 1998, ENERGY J, V19, P19
[30]   Hybrid coevolutionary programming for Nash equilibrium search in games with local optima [J].
Son, YS ;
Baldick, R .
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2004, 8 (04) :305-315