• DocumentCode
    1777435
  • Title

    Distributed coordination method of microgrid economic operation optimization based on multi-agent system

  • Author

    Kui Luo ; Wenhui Shi

  • Author_Institution
    China Electr. Power Res. Inst. (CEPRI), Beijing, China
  • fYear
    2014
  • fDate
    20-22 Oct. 2014
  • Firstpage
    3135
  • Lastpage
    3140
  • Abstract
    Microgrid economic dispatch is an important content of microgrid operation optimization, distributed control algorithm can be a good solution to solve microgrid economic dispatch problem. Replicator dynamics algorithm employed in the framework of a distributed multi-agent system (MAS)is presented in this paper. It divides a global optimization problem into multiple coordination optimization problems between agents to be solved. Each distributed generation in microgrid is controlled by an intelligence agent, and agents that in peer status imitate individual organisms interact with each other by the game algorithm to maximize their own benefits. When the game reach the nash equilibrium point, global optimal solution is obtained. The feasibility and effectiveness of the proposed distributed coordination method have been verified by a numerical test system.
  • Keywords
    distributed power generation; game theory; numerical analysis; power generation control; power generation economics; distributed control algorithm; distributed coordination; distributed multiagent system; game algorithm; intelligence agent; microgrid economic operation optimization; numerical test system; replicator dynamics algorithm; Convergence; Economics; Generators; Heuristic algorithms; Microgrids; Optimization; Power system dynamics; distributed control; economic dispatch; microgrid; multi-agent system (MAS); replicator dynamics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power System Technology (POWERCON), 2014 International Conference on
  • Conference_Location
    Chengdu
  • Type

    conf

  • DOI
    10.1109/POWERCON.2014.6993627
  • Filename
    6993627