• DocumentCode
    585909
  • Title

    Genetic algorithm power flow computing approach

  • Author

    Solomonesc, Florin ; Teslovan, Razvan ; Barbulescu, Constantin ; Kilyeni, Stefan ; Cristian, Petru Dan

  • fYear
    2012
  • fDate
    4-7 Sept. 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    There is a growing interest in finding new ways to solve power systems related problems. Heuristic search methods are considered a good alternative to conventional ones. The present work focuses on genetic algorithms (GA). A GA adapted for power flow solving is detailed. Some practical issues are presented.
  • Keywords
    genetic algorithms; heuristic programming; load flow; search problems; GA; genetic algorithm; heuristic search methods; power flow computing approach; power systems; Biological cells; Genetic algorithms; Load flow; Newton method; Sociology; Statistics; Genetic Algorithm (GA); adaptive mutation; mathematical model; power flow;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Universities Power Engineering Conference (UPEC), 2012 47th International
  • Conference_Location
    London
  • Print_ISBN
    978-1-4673-2854-8
  • Electronic_ISBN
    978-1-4673-2855-5
  • Type

    conf

  • DOI
    10.1109/UPEC.2012.6398608
  • Filename
    6398608
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=585909