• DocumentCode
    3471624
  • Title

    A novel approach for dynamic reconfiguration of the distribution network via multi-agent system

  • Author

    Li, Zhenkun ; Chen, Xingying ; Yu, Kun ; Zhao, Bo ; Liu, Haoming

  • Author_Institution
    Coll. of Electr. Eng., Hohai Univ., Nanjing
  • fYear
    2008
  • fDate
    6-9 April 2008
  • Firstpage
    1305
  • Lastpage
    1311
  • Abstract
    A novel systematic algorithm for the dynamic reconfiguration of the distribution network was proposed based on multi-agent system in this paper. In which, one day was divided into several time intervals and each was managed by a work agent. An improved hybrid particle swarm optimization algorithm was applied in each time interval to produce a solution set which included some enough good solutions. Then the coordination agent would select a solution from each work agent´s solution set, and coordinate them until the number constraint of switching operations was satisfied. The whole architecture of the multi-agent system was presented, and the function modules of the work agent and coordination agent were also discussed. Computer simulations were conducted to show the effectiveness of the proposed algorithm.
  • Keywords
    distribution networks; multi-agent systems; particle swarm optimisation; coordination agent; distribution network; dynamic reconfiguration; function modules; multi-agent system; particle swarm optimization algorithm; power system; switching operations; work agent; Computer architecture; Computer simulation; Dynamic programming; Heuristic algorithms; Hybrid power systems; Multiagent systems; Particle swarm optimization; Power system dynamics; Switches; Time varying systems; distribution network; dynamic reconfiguration; hybrid particle swarm optimization; line loss; multi-agent system; power system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Utility Deregulation and Restructuring and Power Technologies, 2008. DRPT 2008. Third International Conference on
  • Conference_Location
    Nanjuing
  • Print_ISBN
    978-7-900714-13-8
  • Electronic_ISBN
    978-7-900714-13-8
  • Type

    conf

  • DOI
    10.1109/DRPT.2008.4523608
  • Filename
    4523608