Optimal Capacitor Location for Radial Systems using Genetic Algorithms

Abstract

In this paper, we describe a new technique for placing fixed capacitors in radial distribution systems based on genetic algorithms (GA). Current optimization models of capacitor placement only consider losses reduction and voltage profile simultaneously, but the compensation cost and the load changes are not taken into account as part of the objective function. Also, the result may be not the best choice because this is a very large optimization problem and there are too many combinations. We present a general approach for the optimal solution of this problem considering all the parameters of the distribution system involved: capacitor cost, voltage, angle and load changes. An exhaustive search through all possible solutions is needed. Therefore, GA is an ideal candidate to solve this situation, Working with this algorithm, a Microsoft Excel program has been developed in order to answer the capacitor placement problem for any kind of radial distribution system