• DocumentCode
    26807
  • Title

    Agent-Based Modeling of Distributed Generation in Power System Control

  • Author

    Divenyi, Daniel ; Dan, Andras M.

  • Author_Institution
    Dept. of Electr. Power Eng., Budapest Univ. of Technol. & Econ., Budapest, Hungary
  • Volume
    4
  • Issue
    4
  • fYear
    2013
  • fDate
    Oct. 2013
  • Firstpage
    886
  • Lastpage
    893
  • Abstract
    The small generation units including cogeneration units and renewables have been widely spread during the last decades. These units raise several questions regarding the power system, e.g., their integration into power system control or their role on the supply-side of smart grids. A multiagent model was established in order to facilitate the investigations of the emerged questions. Several viewpoints are taken into account and built into the model considering technical specifications, proper wind-speed and temperature simulations, constraints of heating service, fuel consumption, legal regulation, outages, and services. A state-based method is elaborated in order to generalize different technologies. The different aspects of operation control are represented by agent strategies. Applying these methods resulted in an easy-to-follow and flexible model. This paper is dealing with the developed multiagent-based model applied to study the distributed generation system from many viewpoints like power system balance, virtual power plant, or smart grid scheduling.
  • Keywords
    cogeneration; distributed power generation; multi-agent systems; power generation control; power generation reliability; agent-based modeling; cogeneration unit; distributed power generation; easy-to-follow model; flexible model; fuel consumption; heating service constraint; legal regulation; multiagent model; outages; power generation unit; power system control; state-based method; temperature simulation; wind speed; Distributed power generation; Multi-agent systems; Power system control; Power system modeling; Agent strategies; distributed generation; multi agent model; state-based method; utility-based agent-program;
  • fLanguage
    English
  • Journal_Title
    Sustainable Energy, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1949-3029
  • Type

    jour

  • DOI
    10.1109/TSTE.2013.2253811
  • Filename
    6504565