• DocumentCode
    473363
  • Title

    Impact of generators’ different bidding strategies on system nash equilibrium point

  • Author

    Badri, A. ; Jadid, S. ; Moghad, M. Parsa

  • Author_Institution
    Dept. of Electr. Eng., Iran Univ. of Sci. & Technol., Tehran
  • fYear
    2007
  • fDate
    3-6 Dec. 2007
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Unlike to perfect competitive markets, in electricity oligopoly markets due to strategic producers and transmission constraints Gencos may increase their own profit through strategic biddings. This paper investigates the problem of developing optimal bidding strategies of generators in two cases when they all bid strategically and when some of them alter their biddings in order to exercise market power. The problem is modeled as a bi-level optimization that at the first level each generator maximizes its payoff through strategic bidding and at the second level a system dispatch is accomplished through an OPF problem. The AC power flow model is used for proposed OPF that considers ancillary services as well. Using proposed model optimal bidding strategies of generators in order to achieve to the most profit while considering system constraints are presented and impact of of generators´ different bidding strategies on system Nash equilibrium point is studied. Finally IEEE-30 bus test system is used for case study to demonstrate simulation results.
  • Keywords
    electric generators; load flow; optimisation; power markets; AC power flow model; bi-level optimization; bus test system; electricity oligopoly markets; generator bidding strategies; optimal bidding strategies; power market; system Nash equilibrium point; transmission constraints; Automation; Electricity supply industry; Game theory; Load flow; Nash equilibrium; Oligopoly; Power generation; Power system modeling; Stochastic processes; System testing; Bidding strategy; Nash equilibrium point; market power;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Conference, 2007. IPEC 2007. International
  • Conference_Location
    Singapore
  • Print_ISBN
    978-981-05-9423-7
  • Type

    conf

  • Filename
    4509991