• DocumentCode
    1926078
  • Title

    Study of GenCos’ Cournot behaviors considering market auction mechanism

  • Author

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

  • Author_Institution
    Dept. of Electr. Eng., Iran Univ. of Sci. & Technol., Tehran
  • fYear
    2007
  • fDate
    9-12 Dec. 2007
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In restructured power markets participants are able to exercise market power through different bidding strategies. In this paper an important oligopolistic market is presented that all generation companies (GenCos) bid in a Cournot model considering behaviours of elastic load demands at all nodes for a whole standard day .Genetic algorithm (GA) is applied to obtain generation scheduling of each GenCo as well as hourly market clearing prices (MCP). In order to consider network constraints a multiperiod framework is applied to simulate market clearing process that requires the use of continuous and binary variables. Behaviours of generators´ biddings and elastic loads are modeled through piecewise block curves. Finally impacts of market clearing process on participants´ characteristic and final market prices are presented.
  • Keywords
    genetic algorithms; power generation economics; power markets; GENCOs Cournot behaviors; Generation Companies; bidding strategies; elastic load demands; genetic algorithm; market auction mechanism; market clearing prices; oligopolistic market; power markets restructured; Automation; Costs; Electricity supply industry; Genetic algorithms; Mathematical model; Power generation; Power markets; Power system modeling; Power system simulation; Scheduling; Cournot model; Generation scheduling; Market clearing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Conference, 2007. AUPEC 2007. Australasian Universities
  • Conference_Location
    Perth, WA
  • Print_ISBN
    978-0-646-49488-3
  • Electronic_ISBN
    978-0-646-49499-1
  • Type

    conf

  • DOI
    10.1109/AUPEC.2007.4548026
  • Filename
    4548026