• DocumentCode
    117778
  • Title

    An Invasive Weed Optimization for loss reduction in distribution systems

  • Author

    Rani, D.S. ; Subrahmanyam, N. ; Sydulu, M.

  • Author_Institution
    Electr. Eng. Dept., Nat. Inst. of Technol. Warangal, Warangal, India
  • fYear
    2014
  • fDate
    6-8 March 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this paper, a new meta-heuristic solution approach for loss reduction in radial distribution systems through feeder reconfiguration and placement of distributed generation is presented. The proposed algorithm makes use of Mehrabian & Lucas´s heuristic `Invasive Weed Optimization´ (IWO) in generating optimal solutions. Forward/Backward sweep power flow method is used to solve the radial distribution system. The proposed approach is tested on standard IEEE 33-bus and 69-bus system. The results obtained from the study have shown that the proposed algorithm can be used as a new alternative solution technique for finding optimal operation of distribution system.
  • Keywords
    IEEE standards; distributed power generation; distribution networks; load flow; IEEE 33-bus system; IEEE 69-bus system; distributed generation; distribution systems; forward/backward sweep power flow; invasive weed optimization; loss reduction; meta-heuristic solution; Algorithm design and analysis; Convergence; Distributed power generation; Genetic algorithms; Linear programming; Optimization; Reactive power; invasive weed optimization; loss reduction; reconfiguration and distributed generation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Green Computing Communication and Electrical Engineering (ICGCCEE), 2014 International Conference on
  • Conference_Location
    Coimbatore
  • Type

    conf

  • DOI
    10.1109/ICGCCEE.2014.6922311
  • Filename
    6922311