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
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;
Conference_Titel :
Power Systems Conference (NPSC), 2014 Eighteenth National
DOI :
10.1109/NPSC.2014.7103784