• DocumentCode
    15047
  • Title

    An Optimal Autonomous Decentralized Control Method for Voltage Control Devices by Using a Multi-Agent System

  • Author

    Yorino, Naoto ; Zoka, Yoshifumi ; Watanabe, Masahiro ; Kurushima, Tomohiro

  • Author_Institution
    Grad. Sch. of Eng., Hiroshima Univ., Higashi-Hiroshima, Japan
  • Volume
    30
  • Issue
    5
  • fYear
    2015
  • fDate
    Sept. 2015
  • Firstpage
    2225
  • Lastpage
    2233
  • Abstract
    Impact of increasing penetration of photovoltaic (PV) generation is expected in Japan in the near future; thus a new voltage control scheme is required in order to improve the operation of distribution networks. We propose a new voltage control scheme for distribution networks based on a multi-agent system. The large voltage fluctuations caused by PV generations are effectively regulated by adjusting the conventional types of tap-changing controllers. We achieved an optimal control performance by developing a new optimal control law applicable to decentralized autonomous control. The autonomy is accomplished by using a multi-agent system. The proposed method is applicable to general distribution network and highly efficient for popular radial networks under certain approximations. The effectiveness of the proposed scheme is demonstrated through numerical simulations of radial 6.6-kV test system with successful results.
  • Keywords
    distribution networks; multi-agent systems; optimal control; photovoltaic power systems; voltage control; distribution networks; multi-agent system; optimal autonomous decentralized control method; photovoltaic generation; tap-changing controllers; voltage 6.6 kV; voltage control devices; voltage fluctuations; Decentralized control; Multi-agent systems; Power system reliability; Renewable energy sources; Voltage control; Autonomous voltage control; distributed generator; distribution system; multi-agent; photovoltaic generation; renewable energy;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2014.2364193
  • Filename
    6937214