• DocumentCode
    2614366
  • Title

    Analysis of bidding-strategy for leadership-company in power market

  • Author

    He, Hui ; Xu, Zheng ; Wang, Chano

  • Author_Institution
    Dept. of Electr. Eng., Zhejiang Univ., Hangzhou, China
  • fYear
    2004
  • fDate
    10-13 Oct. 2004
  • Firstpage
    185
  • Abstract
    In electricity market environment, bidding strategies employed by generation companies have significant impacts on their own profits and market´s economic characteristics. The leadership-company, which has large capacity and low cost in system, may exert the competition superiority by employing bidding strategies, such as capacity withholding, to gain additional profits. Thus, how to investigate the strategic bidding behaviors and how to analyze potential market power of leadership-company are important research areas in electricity market. The pricing model of leadership-company based on optimization is proposed in this paper. The optimal bidding capacities, profits and settlement prices can be produced by an iteration algorithm. The results are compared with the corresponding data of normal competition to evaluate the bidding behaviors of a leadership-company. Based on the varying loads of a whole day, the bidding strategies of a leadership-company have been analyzed by a simple 8-bus system example.
  • Keywords
    iterative methods; optimisation; power markets; profitability; 8-bus system; bidding- strategy analysis; generation company; iteration algorithm; leadership-company; market economic characteristics; optimization; power market; pricing model; Character generation; Costs; Electricity supply industry; Environmental economics; Power generation; Power generation economics; Power markets; Power system economics; Power system modeling; Pricing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Systems Conference and Exposition, 2004. IEEE PES
  • Print_ISBN
    0-7803-8718-X
  • Type

    conf

  • DOI
    10.1109/PSCE.2004.1397552
  • Filename
    1397552