• DocumentCode
    972644
  • Title

    Genetic algorithm aided controller design with application to SVC

  • Author

    Ju, Peijian ; Handschin, E. ; Reyer, F.

  • Author_Institution
    Dept. of Electr. Eng., Dortmund Univ., Germany
  • Volume
    143
  • Issue
    3
  • fYear
    1996
  • fDate
    5/1/1996 12:00:00 AM
  • Firstpage
    258
  • Lastpage
    262
  • Abstract
    Usually, it is difficult to use current methods to design a controller with combined continuous and discrete actions. The paper presents a novel approach to solving this problem, i.e. transforming the controller design problem into an optimisation problem and then searching the optimal (or suboptimal) controller parameters by a genetic algorithm. This new approach has been applied to the controller design of a static VAr compensator (SVC) with satisfactory results, which show that the new approach is simple yet powerful
  • Keywords
    control system synthesis; discrete systems; genetic algorithms; optimal control; power system control; reactive power control; static VAr compensators; SVC; continuous and discrete actions; genetic algorithm; optimal control design; optimal controller parameters; optimisation problem; power systems; static VAr compensator; suboptimal controller parameters;
  • fLanguage
    English
  • Journal_Title
    Generation, Transmission and Distribution, IEE Proceedings-
  • Publisher
    iet
  • ISSN
    1350-2360
  • Type

    jour

  • DOI
    10.1049/ip-gtd:19960330
  • Filename
    502151