• DocumentCode
    3589060
  • Title

    Genetic algorithm based method for capacitor placement using new sensitivity based approach

  • Author

    Kanwar, Neeraj ; Saini, Pawan ; Gupta, Nikhil ; Swarnkar, Anil ; Niazi, K.R.

  • Author_Institution
    Dept. of Electr. Eng., Malaviya Nat. Inst. of Technol., Jaipur, India
  • fYear
    2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper proposes a new methodology for optimal allocation of shunt capacitors in distribution systems. The proposed method combines various objectives and constraints into a comprehensive constraint multi-objective function (CCMF). The function has been optimized using a Genetic Algorithm (GA) based method. Attempts have also been made to improve the computational efficiency of GA. The search space of GA is reduced by introducing a new reactive power flow sensitivity approach that determines the set of candidate nodes suitable for capacitor placement and also by employing a new constrained chromosome structure. The proposed method is tested on 69-bus test distribution system and the application results are promising.
  • Keywords
    distribution networks; genetic algorithms; load flow; reactive power; 69-bus test distribution system; CCMF; GA; capacitor placement; comprehensive constraint multiobjective function; constrained chromosome structure; genetic algorithm; reactive power flow sensitivity approach; shunt capacitor optimal allocation; Biological cells; Capacitors; Energy loss; Genetic algorithms; Reactive power; Sensitivity; Sociology; capacitor placement; distribution systems; genetic algorithm; reactive compensation; sensitivity analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Systems Conference (NPSC), 2014 Eighteenth National
  • Type

    conf

  • DOI
    10.1109/NPSC.2014.7103784
  • Filename
    7103784