• DocumentCode
    2492008
  • Title

    Network reconfiguration of the shipboard power system based on logistic function particle swarm optimization

  • Author

    Xiao, Jianmei ; Li, Junjun ; Wang, Xihuai

  • Author_Institution
    Dept. of Electr. & Autom., Shanghai Maritime Univ., Shanghai
  • fYear
    2008
  • fDate
    25-27 June 2008
  • Firstpage
    5366
  • Lastpage
    5370
  • Abstract
    A sort of annealing particle swarm optimization algorithm based on logistic function is proposed to deal with the problem of shipboard power system network reconfiguration. In this algorithm, part of the particle swarm is annealed based on the character of the logistic function. This method can solve the problem of local minimum of the standard particle swarm optimization algorithm effectively. The efficiency of the algorithm is improved; at the same time the computation time is well controlled. Shipboard power system network reconfiguration tests show that better service restoration can be provided by this method, which possesses strong convergence capability.
  • Keywords
    particle swarm optimisation; power systems; ships; simulated annealing; annealing particle swarm optimization algorithm; logistic function; service restoration; shipboard power system network reconfiguration; Automation; Electronic mail; Intelligent control; Logistics; Particle swarm optimization; Power system control; Power system restoration; Power system simulation; Power systems; Simulated annealing; Logistic function; network reconfiguration; particle swarm optimization; shipboard power system; simulated annealing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4244-2113-8
  • Electronic_ISBN
    978-1-4244-2114-5
  • Type

    conf

  • DOI
    10.1109/WCICA.2008.4593803
  • Filename
    4593803