• 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