• DocumentCode
    2933220
  • Title

    Optimal power flow computing GA applications

  • Author

    Solomonesc, Florin ; Barbulescu, Constantin ; Kilyeni, Stefan ; Simo, Attila

  • Author_Institution
    Power Syst. Dept., Politeh. Univ. of Timisoara, Timisoara, Romania
  • fYear
    2013
  • fDate
    2-5 Sept. 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Nowadays the artificial intelligence based methods applied in power systems are getting more and more field. The paper is focusing on genetic algorithms used for optimal power flow computing (OPF). It is a very important issue for power systems analysis field. The research work will be applied within a major research project referring to the transmission network expansion planning. Tw o case studies are presented, focusing on test power systems.
  • Keywords
    artificial intelligence; genetic algorithms; load flow; power engineering computing; power transmission planning; OPF; artificial intelligence; expansion planning; genetic algorithms; optimal power flow computing; power system analysis field; research project; transmission network; Biological cells; Genetic algorithms; Load flow; Sociology; Software tools; Statistics; genetic algorithms; power systems; software tool;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Conference (UPEC), 2013 48th International Universities'
  • Conference_Location
    Dublin
  • Type

    conf

  • DOI
    10.1109/UPEC.2013.6714929
  • Filename
    6714929
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2933220