• DocumentCode
    174861
  • Title

    Realistic Multi-agent Simulation of Competitive Electricity Markets

  • Author

    Pinto, Tiago ; Santos, Giovanni ; Vale, Zita ; Praca, Isabel ; Lopes, Filipa ; Algarvio, Hugo

  • Author_Institution
    GECAD - Knowledge Eng. & Decision Support Res. Center, Polytech. of Porto (ISEP/IPP), Porto, Portugal
  • fYear
    2014
  • fDate
    1-5 Sept. 2014
  • Firstpage
    109
  • Lastpage
    113
  • Abstract
    The dynamism and ongoing changes that the electricity markets sector is constantly suffering, enhanced by the huge increase in competitiveness, create the need of using simulation platforms to support operators, regulators, and the involved players in understanding and dealing with this complex environment. This paper presents an enhanced electricity market simulator, based on multi-agent technology, which provides an advanced simulation framework for the study of real electricity markets operation, and the interactions between the involved players. MASCEM (Multi-Agent Simulator of Competitive Electricity Markets) uses real data for the creation of realistic simulation scenarios, which allow the study of the impacts and implications that electricity markets transformations bring to different countries. Also, the development of an upper-ontology to support the communication between participating agents, provides the means for the integration of this simulator with other frameworks, such as MAN-REM (Multi-Agent Negotiation and Risk Management in Electricity Markets). A case study using the enhanced simulation platform that results from the integration of several systems and different tools is presented, with a scenario based on real data, simulating the MIBEL electricity market environment, and comparing the simulation performance with the real electricity market results.
  • Keywords
    multi-agent systems; ontologies (artificial intelligence); power engineering computing; power markets; MASCEM; MIBEL electricity market environment; electricity market sector; electricity market transformations; enhanced electricity market simulator; participating agents; realistic multiagent simulation of competitive electricity markets; realistic simulation scenarios; upper-ontology development; Adaptation models; Context; Data mining; Data models; Electricity supply industry; Multi-agent systems; Power systems; Electricity Markets Simulation; MAN-REM; MASCEM; Multi-Agent Systems; Scenarios Generation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Database and Expert Systems Applications (DEXA), 2014 25th International Workshop on
  • Conference_Location
    Munich
  • ISSN
    1529-4188
  • Print_ISBN
    978-1-4799-5721-7
  • Type

    conf

  • DOI
    10.1109/DEXA.2014.36
  • Filename
    6974835