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
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