• DocumentCode
    2603991
  • Title

    Distributed generator placement techniques using artificial intelligence

  • Author

    Aghaebrahimi, M.R. ; Amiri, M.

  • Author_Institution
    Univ. of Birjand, Birjand, Iran
  • fYear
    2009
  • fDate
    6-7 April 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The Optimal sizing and placement of distributed generators has received considerable attention from researchers recently. This paper presents an extensive review of the different solution methods found in the literature and is intended as a guide for those interested in the problem or intending to do additional research in the area. The assumptions made and a brief description of the solution methods is presented.
  • Keywords
    artificial intelligence; distributed power generation; artificial intelligence; distributed generator placement techniques; Ant colony optimization; Artificial intelligence; Cogeneration; Cost function; Distributed power generation; Optimization methods; Power generation; Power quality; Power system planning; Voltage; Artificial Intelligence; Distributed Generation; Optimal Placement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sustainable Power Generation and Supply, 2009. SUPERGEN '09. International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-4934-7
  • Type

    conf

  • DOI
    10.1109/SUPERGEN.2009.5348248
  • Filename
    5348248