DocumentCode :
1753788
Title :
Searching for Electricity Market Equilibrium Using Coevolutionary Computation Approach
Author :
Yang, Yan ; Chen, Haoyong ; Zhang, Yao ; Jin, Zhiqiang ; Li, Fangxing
Author_Institution :
Sch. of Electr. Eng., South China Univ. of Technol., Guangzhou, China
fYear :
2011
fDate :
25-28 March 2011
Firstpage :
1
Lastpage :
5
Abstract :
This paper proposes a new and practical model to achieve the electricity market equilibrium based on Linear Supply Function Equilibrium (LSFE) model. In the proposed model, the transmission constraint in addition to the generation constraint and the consumers bidding behavior are considered. The coevolutionary computational approach is proposed to solve the market equilibrium problem. Several cases under the different market conditions from the sample system are tested to validate the effectiveness of the proposed method. Simulation results show that the proposed approach rapidly converges to the pure strategy Nash Equilibrium if it exists. The approach proposed in the paper is robust and flexible, and has the potential to be used in the study of the complicated and real-world electricity markets.
Keywords :
commerce; consumer behaviour; evolutionary computation; game theory; power markets; LSFE model; Nash equilibrium; coevolutionary computation; consumer bidding behavior; electricity market equilibrium; generation constraint; linear supply function equilibrium model; transmission constraint; Algorithm design and analysis; Analytical models; Computational modeling; Convergence; Electricity supply industry; Nash equilibrium; Optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2011 Asia-Pacific
Conference_Location :
Wuhan
ISSN :
2157-4839
Print_ISBN :
978-1-4244-6253-7
Type :
conf
DOI :
10.1109/APPEEC.2011.5748677
Filename :
5748677
Link To Document :
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