• DocumentCode
    2503515
  • Title

    Learning the role of regulator in emerging multi-energy market: A simulation approach with agents

  • Author

    Oo, Naing Win

  • Author_Institution
    Dept. of Electr./Commun. Eng. & Comput., Curtin Univ. of Technol., Miri
  • fYear
    2008
  • fDate
    1-3 Dec. 2008
  • Firstpage
    1166
  • Lastpage
    1171
  • Abstract
    According to recent technological break-through in energy conversion area and the implementation of efficiency improvement approaches in energy markets, energy sectors accustomed to operate in parallel with some degree of independency has been forced to compete in emerging multi-energy markets. Understanding the behavior of these relatively unknown markets is crucial for the success of market actors involved. This study proposes a pioneer simulation approach that employs agent-based modeling for studying the behavior of energy retail markets. Using agent technology, a pilot computational laboratory has been developed. The results from this pilot computational lab prove that extremely complex behavior can be emerged from simple interaction of agents. The results also indicate that the regulators may still play important role in open multi-energy retail markets.
  • Keywords
    evolutionary computation; multi-agent systems; power engineering computing; power markets; agent-based modeling; autonomous agents; efficiency improvement; energy conversion; energy retail markets; evolutionary computation; pilot computational laboratory; Autonomous agents; Computational modeling; Concurrent computing; Energy conversion; Evolutionary computation; Java; Laboratories; Power engineering and energy; Power engineering computing; Regulators; Autonomous Agents; Energy Market; Evolutionary Computation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Conference, 2008. PECon 2008. IEEE 2nd International
  • Conference_Location
    Johor Bahru
  • Print_ISBN
    978-1-4244-2404-7
  • Electronic_ISBN
    978-1-4244-2405-4
  • Type

    conf

  • DOI
    10.1109/PECON.2008.4762652
  • Filename
    4762652