Node Voltage Improvement by Capacitor Placement in Distribution Network : A Soft Computing Approach

摘要

This paper deals with a genetic algorithm based approach for determining the optimum placement location of capacitor in radial distribution system which is obtained after optimum reconfiguration. Reduction of total losses in distribution system is very essential to improve the overall efficiency of power delivery. This can be achieved by placing the optimal value of capacitors at proper locations in radial distribution systems. The proposed methodology is a genetic approach based algorithm. The best location of the capacitor and the sizing of the capacitor is determined based on genetic algorithm. The objective function is to place the optimal value of capacitors at best locations, which maximizes net savings in the distribution system. The proposed method directly gives the best locations and identifies the optimal siTe. Here we have tried the requirement by the use of genetic algorithm and further we have tried to improve the node voltages by placing the capacitor bank at susceptible load points. We have run load flow program developed in MATLAB environment on the optimum feeder layout obtained [10] and further we have tried to improve the node voltages of the network by trying the various combinations of capacitor bank. The fitness function of the chromosomes turns out to be the maximum of the minimum node voltages. Using GA the paper gives the optimum combination for replacement of capacitor for the best node voltages. The result is tested on single feeder network and the work has been carried out in MATLAB environment.