• DocumentCode
    1580654
  • Title

    A method for analyzing Nash equilibrium based on clustering of generation companies

  • Author

    Kim, Jin-Ho ; Park, Jong-Bae ; Park, Jun-Ho ; Joo, Sung-Kwan

  • Author_Institution
    Sch. of Electr. Eng., Pusan Nat. Univ., South Korea
  • fYear
    2005
  • Firstpage
    414
  • Abstract
    Feasibility of Nash equilibrium in generation markets is analyzed using a game theory for simplified competitive electricity markets. Generation companies in the markets are classified into two groups by the state of each company at equilibrium and a new method for obtaining Nash equilibrium in N-company spot markets is explored. Spot markets are assumed to be operated as uniform pricing auctions and generation companies are assumed to submit their bids into the auctions in the form of a seal-bid. The uniform pricing auctions in this analysis are formulated as games in which generation companies correspond to the players. The coefficient of the bidding function of company-n is assigned to the strategy of the player-n (company-n) and the payoff of the player-n is defined by his profit from the uniform price auction. Based on the concept of residual demand, best response functions of each generation company in the N-company auctions are analytically derived. Finally, an efficient way to obtain all the possible equilibrium set pairs and to examine their feasibilities as Nash equilibriums are suggested. A simple numerical example with three generation companies is demonstrated to show the basic ideas of the proposed method.
  • Keywords
    game theory; numerical analysis; power generation economics; power markets; pricing; Nash equilibrium; competitive electricity markets; game theory; generation companies; generation markets; seal-bid; spot markets; uniform pricing auctions; Decision making; Electricity supply industry; Game theory; Helium; Nash equilibrium; Power generation; Power system modeling; Power system simulation; Pricing; Profitability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Society General Meeting, 2005. IEEE
  • Print_ISBN
    0-7803-9157-8
  • Type

    conf

  • DOI
    10.1109/PES.2005.1489513
  • Filename
    1489513