Natural dynamic equilibrium and multiple equilibria of competitive power markets

被引:11
作者
Nguyen, DHM [1 ]
Wong, KP
机构
[1] Univ Western Australia, Dept Elect & Elect Engn, Nedlands, WA 6907, Australia
[2] Hong Kong Polytech Univ, Kowloon, Hong Kong, Peoples R China
关键词
Approximation theory - Deregulation - Differential equations - Game theory - Genetic algorithms - Mathematical models - Mathematical transformations - Optimization - Recursive functions;
D O I
10.1049/ip-gtd:20020215
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 solution method for the Cournot game equilibrium analysis. The new method allows arbitrary differentiable cost and demand characteristics to be implemented. The solution does not rely on conjectures about market participants' behaviour. The approach taken transforms the search for the Cournot game equilibrium to a problem of under-constrained, multivariate non-linear optimisation. Genetic algorithm techniques were adapted to numerically solve the optimisation for various power markets. Single-consumer power markets are examined and discussed. A new exponential-integral demand function capable of realistically modelling volume-specific inelastic demand is presented. Methods of applying the new approach to assess current market operations and future restructuring options are presented.
引用
收藏
页码:133 / 138
页数:6
相关论文
共 11 条
[1]  
FERNANDO A, 1995, IEEE T POWER SYST, V14, P505
[2]  
GOLDBERGE DE, 1989, GENETIC ALGORITHMS S
[3]   COMPETITION IN THE BRITISH ELECTRICITY SPOT MARKET [J].
GREEN, RJ ;
NEWBERY, DM .
JOURNAL OF POLITICAL ECONOMY, 1992, 100 (05) :929-953
[4]  
HOBBS BF, 1999, IEEE P POW ENG SOC 1
[5]   SUPPLY FUNCTION EQUILIBRIA IN OLIGOPOLY UNDER UNCERTAINTY [J].
KLEMPERER, PD ;
MEYER, MA .
ECONOMETRICA, 1989, 57 (06) :1243-1277
[6]  
NGUYEN DHM, 2000, IEEE P POW UT DER RE, P320
[7]  
NGUYEN DHM, 2000, IEEE P POW UT DER RE, P119
[8]  
OVERBYE TJ, 1999, IEEE P POW ENG SOC 1
[9]  
RAMUSEN E, 1994, GAMES INFORMATION IN
[10]  
SKANTZE P, 2000, IEEE P POW ENG SOC 2