• DocumentCode
    2153788
  • Title

    A review on soft computing techniques for location and sizing of distributed generation systems

  • Author

    Karthikeyan, S. Prabhakar ; Harissh, A.S. ; Kumar, K. Sathish ; Raglend, I. Jacob

  • Author_Institution
    Sch. of Electr. Eng., VIT Univ., Vellore, India
  • fYear
    2012
  • fDate
    21-22 March 2012
  • Firstpage
    163
  • Lastpage
    167
  • Abstract
    To maximize the benefits on installation of distributed generation (DG) units, it is necessary to determine optimal number, rating and position in the power system. Improper sizing and location can cause harm to the stability of the power system. To solve these issues, numerous techniques have been presented by researchers over the years. In this paper, a complete survey has been made on various methodologies employed in obtaining the optimal location and sizing of DG units.
  • Keywords
    electric power generation; power distribution; power system stability; uncertainty handling; distributed generation systems; power system; soft computing techniques; stability; Analytical models; Genetic algorithms; Genetics; Performance evaluation; Reliability engineering; Analytical methods; Distributed generation; Genetic algorithms; Meta-heuristics; Optimal placement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing, Electronics and Electrical Technologies (ICCEET), 2012 International Conference on
  • Conference_Location
    Kumaracoil
  • Print_ISBN
    978-1-4673-0211-1
  • Type

    conf

  • DOI
    10.1109/ICCEET.2012.6203882
  • Filename
    6203882