• DocumentCode
    3363467
  • Title

    Agent-Based Simulation of Retail Electricity Markets: Bilateral Contracting with Demand Response

  • Author

    Lopes, Filipa ; Algarvio, Hugo ; Ilco, Cristina ; Sousa, J.

  • Author_Institution
    LNEG Nat. Res. Inst., Lisbon, Portugal
  • fYear
    2013
  • fDate
    26-30 Aug. 2013
  • Firstpage
    194
  • Lastpage
    198
  • Abstract
    The novelty of the evolving electric power industry implies that researchers lack insight into numerous open problems. There is a growing need for advanced modeling approaches that simulate the behavior of electricity markets over time. Accordingly, this article looks at using software agents to help manage the complexity of electricity markets, particularly retail markets, towards ensuring long-term capacity sustainability. The article focuses on bilateral trading and describes some important features of an agent-based system for bilateral contracting with demand response. Special attention is devoted to two strategies for promoting demand response: a "volume management" strategy, for Buyer agents, and a "price management" strategy, for Seller agents.
  • Keywords
    contracts; electricity supply industry; multi-agent systems; power engineering computing; power markets; software agents; advanced modeling approaches; agent-based simulation; agent-based system; bilateral contracting; bilateral trading; buyer agents; demand response; electric power industry; electricity market complexity; long-term capacity sustainability; price management strategy; retail electricity markets; seller agents; software agents; volume management strategy; Computational modeling; Conferences; Contracts; Electricity; Electricity supply industry; Load management; Proposals; Bilateral contracting; demand response; electricity markets; multi-agent systems; trading strategies;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Database and Expert Systems Applications (DEXA), 2013 24th International Workshop on
  • Conference_Location
    Los Alamitos, CA
  • ISSN
    1529-4188
  • Print_ISBN
    978-0-7695-5070-1
  • Type

    conf

  • DOI
    10.1109/DEXA.2013.51
  • Filename
    6621370