PSO Based Multi Objective Approach for Optimal Sizing and Placement of Distributed Generation

This study presents a multi-objective formulation using Particle Swarm Optimization (PSO) approach, for optimal placement and sizing of distributed generation (DG) resources in the power distribution systems in order to minimize the cost of power losses and improve the voltage profile and energy not supplied. The proposed method considers the options of the DGs installation and takes more number of significant parameters into account compare to the previous studies which consider only a few parameters for their optimization algorithms. Some of the so-called cost parameters considered in the proposed approach are: loss reduction, voltage profile improvement, environmental effects, fuel price and installation / exploitation / maintenance expenses and costs of load prediction of each bus. Using an optimal PSO Algorithm, in the proposed optimization method, a destination function that includes all of the abovementioned cost parameters has been optimized. This method is also capable of changing the weights of each cost parameter in the destination function of the PSO Algorithm as well as the matrix of coefficients in the DIGSILENT environment. The proposed method has been applied and simulated on a sample IEEE 13-bus network. The obtained results show that any change in the weight of each parameter in the destination function of the PSO Algorithm and in the matrix of coefficients leads to a meaningful change in the location and capacity of the prospective DG.