• DocumentCode
    3382688
  • Title

    Bidding system based electricity planning in multi-area electricity using game theory model

  • Author

    Leyi Hu ; Wanyu Li ; Murata, Takafumi

  • Author_Institution
    Grad. Sch. of Inf., Production & Syst, Waseda Univ., Kitakyushu, Japan
  • fYear
    2011
  • fDate
    15-16 Aug. 2011
  • Firstpage
    471
  • Lastpage
    476
  • Abstract
    In many countries, electricity generation stations are interconnected with a system called power grid which allows the electricity generated in one place to be sent to users in another place. Electric dispatching center is able to reroute electricity to where it is needed. Any generation company (GenCo) has the right to join the market if they want in order that they are able to compete with each other to generate electricity for profit. Thus, they need to make decisions of which power required areas are worth choosing before sealed bid-one type of electrical bidding. However, they have uncertain information of rivals´ cost. This paper proposes a semi-automatic pricing mechanism for the decision support for electricity generation companies to make bidding decisions which maximizes their profit in multi-area power grid system, and to evaluate effect of information uncertainty for decision making.
  • Keywords
    decision making; game theory; load dispatching; power generation economics; power generation planning; pricing; bidding system; decision making; decision support; electric dispatching; electricity generation stations; electricity planning; game theory model; generation company; multiarea electricity; multiarea power grid system; semi-automatic pricing mechanism; Electricity; Fuels; Games; Generators; Power grids; Pricing; Uncertainty; decision support; electrical bidding; pricing mechanism; uncertain information;
  • 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.2011.6024765
  • Filename
    6024765