• DocumentCode
    1833133
  • Title

    Reconfiguration of distribution network for loss reduction at different load schemes

  • Author

    Sehgal, Sandeep ; Swarnkar, Anil ; Gupta, Nikhil ; Niazi, K.R.

  • Author_Institution
    Dept. of Electr. Eng., MNIT, Jaipur, India
  • fYear
    2012
  • fDate
    1-2 March 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper presents a meta-heuristic based algorithm for determining the minimum loss reconfiguration for different load models in radial distribution system. Proposed method includes the genetic algorithm (GA) for optimizing the reconfiguration problem. After investigating the results obtained by the proposed method, it is clear that the type of load is a main deciding factor for reconfiguration problem and the methodology is capable to find out the optimal solution for any size of distribution systems and demands much less computational burden as compared to other existing algorithms. Simulation results are tested on widely used 33-node test distribution system and compared to the conventional constant load model.
  • Keywords
    distribution networks; genetic algorithms; 33-node test distribution system; GA; distribution network reconfiguration; genetic algorithm; load schemes; loss reduction; meta-heuristic based algorithm; radial distribution system; Genetic algorithms; Load flow analysis; Load modeling; Minimization; Optimization; crossover; genetic algorithm; mutation; reconfiguration; voltage dependent load; voltage exponents;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical, Electronics and Computer Science (SCEECS), 2012 IEEE Students' Conference on
  • Conference_Location
    Bhopal
  • Print_ISBN
    978-1-4673-1516-6
  • Type

    conf

  • DOI
    10.1109/SCEECS.2012.6184772
  • Filename
    6184772