Optimized Allocation of Distributed Generation With Evolutionary Programming: A Review

Abstract

This paper discusses the optimal allocation of renewable DG units in a radial distribution network with an evolutionary programming based algorithm. A sensitivity analysis method, which is used to select the locations from the priority list to locate the DG units, is applied to decrease the computational burden and search space. For evolutionary programming based algorithm, to produce the population ensuring the possibility of every individual, an index based method has been discussed which decreases the calculation time. Optimal location of DG units considerably decreases the losses and improves the voltage profile.