• DocumentCode
    1854629
  • Title

    Reactive power optimization by genetic algorithm

  • Author

    Iba, Kenji

  • Author_Institution
    Mitsubishi Electr. Corp., Kobe, Japan
  • fYear
    1993
  • fDate
    4-7 May 1993
  • Firstpage
    195
  • Lastpage
    201
  • Abstract
    This paper presents a new approach to optimal reactive power planning based on a genetic algorithm. Many outstanding methods to this problem have been proposed in the past. However, most of these approaches have the common defect of being caught to a local minimum solution. The integer problem which yields integer value solutions for discrete controllers/banks still remain as a difficult one. The genetic algorithm is a kind of search algorithm based on the use of natural selection and genetics. This can search for a global solution using a multiple path and treat the integer problem naturally. The proposed method was applied to practical 51-bus and 224-bus systems to show its feasibility and capabilities. Although this method is not as fast as sophisticated traditional methods, the concept is quite promising and useful
  • Keywords
    genetic algorithms; power system planning; reactive power; genetic algorithm; global solution; integer problem; multiple path; natural selection; optimal reactive power planning; reactive power optimization; search algorithm; Artificial intelligence; Expert systems; Genetic algorithms; Linear programming; Load flow; Optimal control; Power system control; Power system planning; Power systems; Reactive power;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Industry Computer Application Conference, 1993. Conference Proceedings
  • Conference_Location
    Scottsdale, AZ
  • Print_ISBN
    0-7803-1301-1
  • Type

    conf

  • DOI
    10.1109/PICA.1993.291017
  • Filename
    291017