• DocumentCode
    1361174
  • Title

    Optimal capacitor allocation in distribution systems using a genetic algorithm and a fast energy loss computation technique

  • Author

    Levitin, G. ; Kalyuzhny, A. ; Shenkman, A. ; Chertkov, M.

  • Author_Institution
    Dept. of Reliability & Equip., Israel Electr. Corp. Ltd., Haifa, Israel
  • Volume
    15
  • Issue
    2
  • fYear
    2000
  • fDate
    4/1/2000 12:00:00 AM
  • Firstpage
    623
  • Lastpage
    628
  • Abstract
    This paper presents a new approach to shunt capacitor placement in distribution systems having customers with different load patterns. The allocation of capacitors is considered in a system comprising a network of feeders fed from an upstream equivalent transmission system through a substation transformer. The benefits of capacitor placement, such as the system capacity release and reduction of overall power and energy losses, are considered. The fast method of total energy loss calculation based on the computation of the moments of normalized daily load curves is used to calculate the annual energy loss reduction. An example of optimal capacitor allocation in a distribution system is presented in which customers with commercial, urban residential, rural and light industrial load patterns are considered
  • Keywords
    genetic algorithms; losses; power capacitors; power distribution planning; substations; annual energy loss reduction; distribution systems; fast energy loss computation technique; genetic algorithm; load patterns; losses reduction; optimal capacitor allocation; substation transformer; system capacity release; total energy loss calculation; upstream equivalent transmission system; Capacitors; Cost function; Educational technology; Energy loss; Fuzzy logic; Genetic algorithms; Load flow; Simulated annealing; Substations; Voltage;
  • fLanguage
    English
  • Journal_Title
    Power Delivery, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8977
  • Type

    jour

  • DOI
    10.1109/61.852995
  • Filename
    852995