• DocumentCode
    3731137
  • Title

    Research on genetic algorithm for ship integrated power system network reconfiguration

  • Author

    Zheng Wang; Li Xia; Di Wu

  • Author_Institution
    School of Electrical Engineering, Naval University of Engineering, Wuhan, China
  • fYear
    2015
  • Firstpage
    1575
  • Lastpage
    1579
  • Abstract
    Ship integrated power system adopt electric power propulsion, power network and electric power network are integrated into complicated one. Network reconfiguration of ship integrated power system is a typical non-linear optimization. A model of ship integrated power system is established. Genetic algorithm is used to solve reconfiguration problem. The result of simulation shows that genetic algorithm can reconfigure ship integrated power system efficiently.
  • Keywords
    "Artificial neural networks","Genetics","Phase locked loops"
  • Publisher
    ieee
  • Conference_Titel
    Chinese Automation Congress (CAC), 2015
  • Type

    conf

  • DOI
    10.1109/CAC.2015.7382752
  • Filename
    7382752