• DocumentCode
    2217451
  • Title

    Parallel particle swarm optimization for reactive power and voltage control verifying dependability

  • Author

    Fukuyama, Yoshikazu

  • Author_Institution
    Department of Network Design, School of Interdisciplinary Mathematical Science, Meiji University, Tokyo, Japan
  • fYear
    2015
  • fDate
    25-28 May 2015
  • Firstpage
    304
  • Lastpage
    310
  • Abstract
    This paper presents a parallel particle swarm optimization (PSO) for reactive power and voltage control (Volt/Var Control: VVC) in electric power systems verifying dependability of the control. Considering high penetration of renewable energies and deregulation of power systems, electric power flows can change suddenly and operators in control centers have to control voltage in wider power systems. Therefore, VVC is required to shorten the control interval and handle larger-scale power systems. One of the solutions for this problem is applications of parallel and distributed computing. Since electric power systems is one of the infrastructures of social community, sustainable voltage control is crucial and dependability is strongly required for VVC. This paper investigates not only fast computation by parallel computation but also dependability of parallel PSO for VVC. The results are meaningful for practical parallel computation by PSO in actual VVC operations.
  • Keywords
    Computational modeling; Load flow; Load modeling; Reactive power; Search problems; Voltage control; dependability; parallel and distributed computing; particle swarm optimization; reactive power and voltage control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation (CEC), 2015 IEEE Congress on
  • Conference_Location
    Sendai, Japan
  • Type

    conf

  • DOI
    10.1109/CEC.2015.7256906
  • Filename
    7256906