• DocumentCode
    2067812
  • Title

    Optimal capacitor placement and sizes for power loss reduction using combined power loss index-loss sensitivity factor and genetic algorithm

  • Author

    Paul, S. ; Jewell, W.

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Wichita State Univ., Wichita, KS, USA
  • fYear
    2012
  • fDate
    22-26 July 2012
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    In this paper, we present a proposed methodology to determine the optimal capacitor locations and sizes for power-loss reduction in a radial distribution system. The objective is to minimize energy loss by considering capacitor cost. Here, both the power loss index (PLI)-based approach and the loss sensitivity coefficient-based approach are comparatively studied to determine the optimal capacitor location. The index-based approach combined with a genetic algorithm is used to determine the capacitor sizes. We also discuss about how customer loads and costs change after reactive power compensation. The proposed method were tested on the IEEE 13-bus and 34-bus test systems, and the results are comparatively analyzed and discussed.
  • Keywords
    IEEE standards; genetic algorithms; power capacitors; power distribution; reactive power; sensitivity; IEEE 13-bus test systems; IEEE 34-bus test systems; PLI-based approach; combined power loss index-loss sensitivity factor; genetic algorithm; optimal capacitor placement; power loss index-based approach; power loss reduction; radial distribution system; reactive power compensation; Capacitors; Cost function; Energy loss; Genetic algorithms; Indexes; Reactive power; Sensitivity; Capacitors; Cost function; Energy consumption; Genetic algorithm; Load flow; Reactive power;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting, 2012 IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    1944-9925
  • Print_ISBN
    978-1-4673-2727-5
  • Electronic_ISBN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PESGM.2012.6345635
  • Filename
    6345635