• DocumentCode
    3389849
  • Title

    Combined Bidding Behavior Analysis of Power Suppliers Based on Multi-Agent Switching Learning Automata in Electricity Market

  • Author

    Dong, Xiuming ; Zhou, Xiaoyang

  • Author_Institution
    Sch. of Sci., Hubei Univ. of Technol., Wuhan, China
  • Volume
    2
  • fYear
    2010
  • fDate
    23-24 Oct. 2010
  • Firstpage
    177
  • Lastpage
    180
  • Abstract
    Investigate what combined bidding behavior of power supplier will bring to the electricity market after the market has reached equilibrium. A bounded rational power supplier is assumed to have two strategy choices: 1) maintaining equilibrium strategy 2) adopting strategy Price-Deviation-Adjust (PD-adjust) learning or Cournot adjust gives. The switching hierarchical learning automaton is introduced to describe the proposed combined bidding behavior. Simulation results show some interesting phenomena and indicate different combined bidding behaviors may bring different predictions to the market.
  • Keywords
    game theory; learning automata; multi-agent systems; power markets; bidding behavior analysis; electricity market; multi-agent system; power suppliers; switching learning automata; Biological system modeling; Electricity supply industry; Games; Learning automata; Load modeling; Mathematical model; Switches; bounded rationality; combined bidding behavior; game learning theory; multi-agent learning; switching learning automata;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence and Computational Intelligence (AICI), 2010 International Conference on
  • Conference_Location
    Sanya
  • Print_ISBN
    978-1-4244-8432-4
  • Type

    conf

  • DOI
    10.1109/AICI.2010.160
  • Filename
    5655021