• DocumentCode
    1861998
  • Title

    Fuzzy logic controlled particle swarm for reactive power optimization considering voltage stability

  • Author

    Zhang, W. ; Liu, Y.

  • Author_Institution
    Sch. of Electr. Eng., Shandong Univ., Jinan
  • fYear
    2005
  • fDate
    Nov. 29 2005-Dec. 2 2005
  • Firstpage
    1
  • Lastpage
    555
  • Abstract
    This paper presents the application of a fuzzy logic controlled particle swarm optimization (FLCPSO) to reactive power and voltage control (Volt/VAR control or VVC) considering voltage stability. An improved particle swarm optimization with three fuzzy controllers based on some heuristics is proposed to adaptively adjust the parameters of PSO, such as the inertia weight and learning factors, during the optimization process. The proposed FLCPSO can be applied to a wide range of optimization processes. The validity of FLCPSO is illustrated on the VVC problem of the IEEE 30-bus power system. Compared with conventional PSO with linearly changed inertia weight and fixed learning factors, the results by the proposed method have demonstrated improved performances
  • Keywords
    fuzzy control; optimisation; power system control; power system stability; reactive power control; voltage control; IEEE 30-bus power system; fuzzy controllers; fuzzy logic controlled particle swarm; particle swarm optimization; reactive power control; reactive power optimization; voltage control; voltage stability; Evolutionary computation; Fuzzy control; Fuzzy logic; Fuzzy systems; Optimization methods; Particle swarm optimization; Power system stability; Reactive power; Reactive power control; Voltage control; Evolutionary computation; fuzzy system; particle swarm optimization; reactive power optimization; voltage stability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Conference, 2005. IPEC 2005. The 7th International
  • Conference_Location
    Singapore
  • Print_ISBN
    981-05-5702-7
  • Type

    conf

  • DOI
    10.1109/IPEC.2005.206969
  • Filename
    1627258