• DocumentCode
    2678731
  • Title

    Capacitor Sizing and Placement on Radial Distribution System Using Queen Bee Assisted Genetic Algorithm

  • Author

    Shuaib, Y. Mohamed ; Rajan, C. Christober Asir

  • Author_Institution
    Dept. of EEE, Pondicherry Eng. Coll., Puducherry, India
  • fYear
    2011
  • fDate
    20-22 July 2011
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Out of the three operational areas (generation, transmission and distribution) of electrical utility, the distribution system needs more attention and is difficult to standardize due to its complexity. The transmission and distribution loss in India has been in the range of 25-30 percent, in which major share is contributed at the distribution level. This is due to inadequate investments for the system improvement works. This paper presents an efficient optimization method for the optimal capacitor sizing of the radial distribution network in order to reduce the power losses and to improve the voltage profile. The capacitor location is determined by the known sensitivity analysis method. The proposed method is tested on 33-bus and 69-bus system and encouraging results are obtained.
  • Keywords
    distribution networks; electricity supply industry; genetic algorithms; power capacitors; transmission networks; 33-bus system; 69-bus system; India; capacitor placement; capacitor sizing; electrical utility; power losses; queen bee assisted genetic algorithm; radial distribution network; sensitivity analysis method; Capacitors; Genetic algorithms; Load flow; Next generation networking; Optimization; Sensitivity analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Process Automation, Control and Computing (PACC), 2011 International Conference on
  • Conference_Location
    Coimbatore
  • Print_ISBN
    978-1-61284-765-8
  • Type

    conf

  • DOI
    10.1109/PACC.2011.5978928
  • Filename
    5978928