• DocumentCode
    3382104
  • Title

    A stochastic Cournot bidding model for wind power producers

  • Author

    Haifeng Zhang ; Feng Gao ; Jiang Wu ; Kun Liu ; Qiaozhu Zhai

  • Author_Institution
    Syst. Eng. Inst., Xi´an Jiaotong Univ., Xi´an, China
  • fYear
    2011
  • fDate
    15-16 Aug. 2011
  • Firstpage
    319
  • Lastpage
    324
  • Abstract
    In this paper, Cournot model is employed to study the bidding strategies for wind power producers in pool-based electricity market. A bidding strategy based on Cournot model, which takes into account the stochastic behavior of wind power and the imbalance cost, is proposed. In the Cournot game, individual player´s bidding problem is formulated as a expected profit maximization model. One kind of iterative algorithm is used to obtain Nash equilibrium strategies for producers. Impact of stochastic behavior of wind power on equilibrium outputs and price is also discussed. Numerical results show that the optimal strategy is highly relevant to the imbalance prices, and also to the forecasting errors. The imbalance penalty tends to drive the bids closer to the expected generation for the next period or day.
  • Keywords
    iterative methods; power generation economics; power markets; stochastic games; wind power plants; Cournot game; Nash equilibrium strategy; expected profit maximization model; forecasting errors; individual player bidding problem; iterative algorithm; pool-based electricity market; stochastic Cournot bidding model; wind power producers; Electricity supply industry; Forecasting; Games; Iterative methods; Production; Wind forecasting; Wind power generation; Nash equilibrium; bidding strategy; cournot model; electricity market; imbalance cost;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation and Logistics (ICAL), 2011 IEEE International Conference on
  • Conference_Location
    Chongqing
  • ISSN
    2161-8151
  • Print_ISBN
    978-1-4577-0301-0
  • Electronic_ISBN
    2161-8151
  • Type

    conf

  • DOI
    10.1109/ICAL.2011.6024735
  • Filename
    6024735