• DocumentCode
    2224626
  • Title

    A new agent-based framework for the simulation of electricity markets

  • Author

    Praça, Isabel ; Ramos, Carlos ; Vale, Zita ; Cordeiro, Manuel

  • Author_Institution
    GECAD-Knowledge Eng. & Decision Support Res. Group, Inst. of Engineering/Polytechnic Inst. of Port, Porto, Portugal
  • fYear
    2003
  • fDate
    13-16 Oct. 2003
  • Firstpage
    469
  • Lastpage
    473
  • Abstract
    As electric utility systems around the world continue to move towards open, competitive markets, the need for new modeling techniques will become more obvious. To study electricity markets behaviour and evolution we propose a multi-agent simulator where agents represent several entities that can be found in electricity markets, such as generators, consumers, market operators and network operators, but also entities that are emerging with the advent of liberalization, such as traders. The simulator probes the possible effects of market rules and conditions by simulating the strategic behaviour of participants. In this paper a special attention is devoted to the strategic decision processes of seller, buyer and trader agents, in order to gain advantage facing the new emerging competitive market.
  • Keywords
    decision support systems; digital simulation; electricity supply industry; multi-agent systems; agent-based framework; buyer agents; competitive markets; electric utility; electricity market; market operator; modeling technique; multi-agent simulator; network operator; seller agents; strategic behavior; strategic decision processes; trader agents; Algorithm design and analysis; Contracts; Electricity supply industry; Intelligent agent; Power generation; Power industry; Power markets; Probes; Production; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Agent Technology, 2003. IAT 2003. IEEE/WIC International Conference on
  • Print_ISBN
    0-7695-1931-8
  • Type

    conf

  • DOI
    10.1109/IAT.2003.1241123
  • Filename
    1241123