• DocumentCode
    3452333
  • Title

    Optimal DG placement for minimizing power loss in distribution feeder systems using sensory-deprived optimization algorithm

  • Author

    Abu-Mouti, F.S. ; El-Hawary, M.E.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Dalhousie Univ., Halifax, NS, Canada
  • fYear
    2011
  • fDate
    8-11 May 2011
  • Abstract
    The considerable benefits of applying a DG-unit such as power loss reduction, environmental friendliness, voltage improvement, postponement of system upgrading, and increasing reliability, have resulted in significant research interest. This paper presents an application of the newly introduced sensory-deprived optimization algorithm (SDOA) to determine the optimal DG-unit´s size, power factor and location to minimize the total system real power loss. The SDOA algorithm is a meta-heuristic, population-based optimization technique inspired by the intelligent behavior/survival of sensory-deprived human beings. To validate the results of applying SDOA, the IEEE 33-bus and 69-bus feeder systems are tested. The results are compared with those found using other methods. The outcomes verify that the SDOA is efficient, robust, fast and capable of handling mixed integer nonlinear optimization problems. The efficiency of the proposed SDOA is confirmed by the fact that the standard deviation of the results attained for 30 independent runs is virtually zero.
  • Keywords
    distributed power generation; integer programming; nonlinear programming; 69-bus feeder systems; DG-unit; IEEE 33-bus; SDOA algorithm; distribution feeder systems; mixed integer nonlinear optimization problems; optimal DG placement; power loss; power loss reduction; sensory-deprived optimization algorithm; Algorithm design and analysis; Distributed power generation; Genetic algorithms; Load flow; Optimization; Reactive power; Distributed Generation; Power Loss Reduction; Sensory-Deprived Optimization Algorithm (SDOA);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Computer Engineering (CCECE), 2011 24th Canadian Conference on
  • Conference_Location
    Niagara Falls, ON
  • ISSN
    0840-7789
  • Print_ISBN
    978-1-4244-9788-1
  • Electronic_ISBN
    0840-7789
  • Type

    conf

  • DOI
    10.1109/CCECE.2011.6030439
  • Filename
    6030439