• DocumentCode
    3486583
  • Title

    Optimal feeder routing and optimal substation sizing and placement using guided evolutionary simulated annealing

  • Author

    Bouchard, D.E. ; Salama, M.M.A. ; Chikhani, A.Y.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Waterloo Univ., Ont., Canada
  • Volume
    2
  • fYear
    1995
  • fDate
    5-8 Sep 1995
  • Firstpage
    688
  • Abstract
    This paper investigates the application of guided evolutionary simulated annealing to the problem of optimal substation size and placement, and the optimal routing of power distribution feeders. The principles of guided evolutionary simulated annealing are discussed and a model proposed for solution of the problem. The success of the method is demonstrated through computer simulations
  • Keywords
    distribution networks; power system analysis computing; power system planning; simulated annealing; substations; computer simulation; feeder routing; guided evolutionary simulated annealing; optimal placement; optimal sizing; power distribution feeders; power systems; substation planning; Biology computing; Computational modeling; Computer simulation; Cost function; Counting circuits; Evolution (biology); Military computing; Routing; Simulated annealing; Substations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Computer Engineering, 1995. Canadian Conference on
  • Conference_Location
    Montreal, Que.
  • ISSN
    0840-7789
  • Print_ISBN
    0-7803-2766-7
  • Type

    conf

  • DOI
    10.1109/CCECE.1995.526297
  • Filename
    526297