• DocumentCode
    175705
  • Title

    The application of binary particle swarm optimization in power restoration

  • Author

    Zhiqiang Chong ; Zhihui Dai ; Shuhuan Wang ; Xuan Liu ; Yanjun Jiao ; Linghao Kong

  • Author_Institution
    Dept. of Electr. Eng., North China Electr. Power Univ., Baoding, China
  • fYear
    2014
  • fDate
    19-21 Aug. 2014
  • Firstpage
    349
  • Lastpage
    353
  • Abstract
    When fault occurs in distribution network, relays of the distribution network trip and the distributed generations turn to the islanding operation mode to supply the surrounding load. So the distribution network without islanding operation part is outage. Taking this into consideration, this paper considers the restoration of distribution network without islanding operation part as a multi-objective optimization problem. The binary particle swarm optimization (BPSO) seeking Pareto Non-dominated solutions algorithm is introduced to solve the multi-objective optimization problem. The algorithm could reduce the switching frequency and the grid loss under the premise of minimum load loss. Finally, IEEE 33 nodes system is used to verifie the effectiveness of the presented algorithm.
  • Keywords
    Pareto optimisation; distributed power generation; particle swarm optimisation; power distribution faults; power distribution reliability; power grids; power system restoration; BPSO; IEEE-33 node system; Pareto nondominated solution algorithm; binary particle swarm optimization; distributed generations; distribution network restoration; distribution network trip relay; grid loss; minimum load loss; multiobjective optimization problem; power restoration; switching frequency reduction; Circuit faults; Heuristic algorithms; Islanding; Optimization; Particle swarm optimization; Switching frequency; binary particle swarm optimization; distributed generation; non-dominated solution; power restoration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation (ICNC), 2014 10th International Conference on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-1-4799-5150-5
  • Type

    conf

  • DOI
    10.1109/ICNC.2014.6975860
  • Filename
    6975860