• DocumentCode
    3389795
  • Title

    A reactive power optimization solution with max power margin for shipboard power system based on CPSO

  • Author

    Wang, Chuan ; Liu, Yancheng ; Pan, Xinxiang

  • Author_Institution
    Marine Eng. Coll., Dalian Maritime Univ., Dalian, China
  • Volume
    3
  • fYear
    2009
  • fDate
    19-20 Dec. 2009
  • Firstpage
    162
  • Lastpage
    165
  • Abstract
    A formulation of the optimal reactive power flow problem for shipboard power system and results from tests of the chaos particle swarm optimization (CPSO) algorithm are presented in this paper. The objective function of the mathematical model minimizes the real power losses and voltage collapse risk by evaluating linearized reactive power margin index of weak node or nodes. Reactive power margin is the power difference between current running point and voltage collapse point. The proposed methodology evolves a unique version of PSO by adding a chaotic local search (CLS). Numerical example on a test system of a ship´s distribution network demonstrates the introduced methodology succeeds in guaranteeing real power loss minimization and reactive power margin maximization.
  • Keywords
    distribution networks; load flow; particle swarm optimisation; power systems; reactive power; ships; chaos particle swarm optimization; chaotic local search; optimal reactive power flow; power loss minimization; reactive power margin maximization; reactive power optimization; ship distribution network; shipboard power system; voltage collapse risk; Chaos; Educational institutions; Intelligent transportation systems; Particle swarm optimization; Power engineering and energy; Power generation; Power system stability; Power systems; Reactive power; Voltage control; Chaos particle swarm optimization algorithm; Reactive power margin; Reactive power optimization; real power loss; voltage stability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics and Intelligent Transportation System (PEITS), 2009 2nd International Conference on
  • Conference_Location
    Shenzhen
  • Print_ISBN
    978-1-4244-4544-8
  • Type

    conf

  • DOI
    10.1109/PEITS.2009.5406821
  • Filename
    5406821