• DocumentCode
    3146971
  • Title

    Application of genetic based algorithms to optimal capacitor placement

  • Author

    Ajjarapu, Venkataramana ; Albanna, Zaid

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Iowa State Univ., Ames, IA, USA
  • fYear
    1991
  • fDate
    23-26 Jul 1991
  • Firstpage
    251
  • Lastpage
    255
  • Abstract
    Reactive power dispatch problem is still an active problem in the area of power system operation. Finding an optimum solution that provides a balance between system performance and the cost associated with the reactive power placement (in terms of improved voltage profile and voltage stability) is essential. The objective of the research is to explore the applicability of a new emerging global optimization technique, called a genetic algorithm to the reactive power dispatch problem. The algorithm is based on the mechanics of natural selection and has been tested in other fields with promising results
  • Keywords
    genetic algorithms; load dispatching; neural nets; power capacitors; power engineering computing; power systems; reactive power; capacitor placement; cost; genetic algorithm; global optimization; load dispatching; natural selection; performance; power capacitors; power engineering computing; power systems; reactive power; voltage profile; voltage stability; Application software; Capacitors; Cost function; Genetic algorithms; Power system economics; Power system restoration; Power system stability; Reactive power; Testing; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks to Power Systems, 1991., Proceedings of the First International Forum on Applications of
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    0-7803-0065-3
  • Type

    conf

  • DOI
    10.1109/ANN.1991.213468
  • Filename
    213468