• DocumentCode
    3088293
  • Title

    Optimal capacitor placement size and location of shunt capacitor for reduction of losses on distribution feeders

  • Author

    Asl, T. Samimi ; Jamali, S.

  • Author_Institution
    Estern Azarbayjan Electr. Power Distrib. Co., Iran
  • fYear
    2009
  • fDate
    9-11 June 2009
  • Firstpage
    223
  • Lastpage
    226
  • Abstract
    The problem of choosing optimal location and sizes for shunt capacitor in distribution systems is addressed. The objective of the capacitor placement procedure is not only to minimize the power losses along distribution feeders, but also help in maintaining the voltage profile within acceptable limits. the amount of benefit that can be reaped by placing the capacitors depend mainly on how the capacitors are placed on the distribution system. This work propose a new method, based on evolutionary algorithms, capable of solving large network instances that appear in real-word settings. Our evolutionary approach makes use of a memetic algorithm that employs a hierarchical organization of the population in overlapping clusters. This structure leads to special selection and reproduction schemes, which improve the algorithms overall performance. This method was tested on a practical radial distribution network with 13 IEEE buses and the results have been presented.
  • Keywords
    distribution networks; evolutionary computation; power capacitors; 13 IEEE buses; distribution feeders; distribution systems; evolutionary algorithms; memetic algorithm; optimal capacitor placement size; radial distribution network; shunt capacitor location; voltage profile; Biological cells; Clustering algorithms; Cost function; Evolutionary computation; Flowcharts; Genetics; Power capacitors; Shunt (electrical); Testing; Voltage; Capacitor allocation; Distribution systems; memetic algorithm; power losses;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Clean Electrical Power, 2009 International Conference on
  • Conference_Location
    Capri
  • Print_ISBN
    978-1-4244-2543-3
  • Electronic_ISBN
    978-1-4244-2544-0
  • Type

    conf

  • DOI
    10.1109/ICCEP.2009.5212053
  • Filename
    5212053