• DocumentCode
    828316
  • Title

    Solving three-player games by the matrix approach with application to an electric power market

  • Author

    Lee, Kwang-Ho ; Baldick, Ross

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Texas, Austin, TX, USA
  • Volume
    18
  • Issue
    4
  • fYear
    2003
  • Firstpage
    1573
  • Lastpage
    1580
  • Abstract
    In models of imperfect competition of deregulated electricity markets, the key task is to find the Nash equilibrium (NE). The approaches for finding the NE have had two major bottlenecks: computation of mixed strategy equilibrium and treatment of multiplayer games. This paper proposes a payoff matrix approach that resolves these bottlenecks. The proposed method can efficiently find a mixed strategy equilibrium in a multiplayer game. The formulation of the NE condition for a three-player game is introduced and a basic computation scheme of solving nonlinear equalities and checking inequalities is proposed. In order to relieve the inevitable burden of searching the subspace of payoffs, several techniques are adopted in this paper. Two example application problems arising from electricity markets and involving a Cournot and a Bertrand model, respectively, are investigated for verifying the proposed method. The proposed method outperforms a publicly available game theory software for the application problems.
  • Keywords
    game theory; power markets; Bertrand model; Cournot model; Nash equilibrium; deregulated electricity markets; electric power market; electricity markets; imperfect competition; matrix approach; mixed strategy equilibrium; multiplayer games; nonlinear equalities; payoff matrix approach; three-player games; Application software; Constraint optimization; Electricity supply industry; Electricity supply industry deregulation; Game theory; Instruction sets; Linear matrix inequalities; Mathematical programming; Nash equilibrium; Power generation;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2003.818744
  • Filename
    1245585