• DocumentCode
    1339031
  • Title

    Optimal Network Reconfiguration of Large-Scale Distribution System Using Harmony Search Algorithm

  • Author

    Rao, Rayapudi Srinivasa ; Narasimham, Sadhu Venkata Lakshmi ; Raju, Manyala Ramalinga ; Rao, A. Srinivasa

  • Author_Institution
    Dept. of Electr. & Electron. Eng., J.N.T. Univ., Kakinada, India
  • Volume
    26
  • Issue
    3
  • fYear
    2011
  • Firstpage
    1080
  • Lastpage
    1088
  • Abstract
    Electrical distribution network reconfiguration is a complex combinatorial optimization process aimed at finding a radial operating structure that minimizes the system power loss while satisfying operating constraints. In this paper, a harmony search algorithm (HSA) is proposed to solve the network reconfiguration problem to get optimal switching combination in the network which results in minimum loss. The HSA is a recently developed algorithm which is conceptualized using the musical process of searching for a perfect state of harmony. It uses a stochastic random search instead of a gradient search which eliminates the need for derivative information. Simulations are carried out on 33- and 119-bus systems in order to validate the proposed algorithm. The results are compared with other approaches available in the literature. It is observed that the proposed method performed well compared to the other methods in terms of the quality of solution.
  • Keywords
    combinatorial mathematics; distribution networks; optimisation; search problems; 119-bus systems; 33-bus systems; HSA; complex combinatorial optimization process; electrical distribution network reconfiguration; harmony search algorithm; large-scale distribution system; musical process; optimal network reconfiguration; power loss; stochastic random search; Computational modeling; Heuristic algorithms; Instruments; Network topology; Optimization; Switches; Topology; Distribution system; harmony search algorithm; loss reduction; network reconfiguration;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2010.2076839
  • Filename
    5590274