Impact of Optimum Allocation of Distributed Generations on Distribution Networks Based on Multi-Objective Different Optimization Techniques

Abstract

A number of different optimization algorithms namely, Moth Swarm Algorithm (MSA), and Particle Swarm Optimization (PSO) algorithm are presented and compared in this paper. Different optimization techniques are used to determine the optimum allocation of distributed generation (DG) in radial distribution systems during reduction of single and multi-objective function namely, (total network power losses, voltage deviation, and total operating cost). The multi objective function is formed by using the weighted sum method. In this paper, multiple-DG units have been analyzed under two load power factors (i.e., unity and optimal). The proposed algorithms have been tested on the 33-bus radial distribution network. The performance of the different optimization algorithms has been compared with other evolutionary optimization technique under different system operating conditions. The simulation results observed the impact of integrating the proper size of DG at the suitable placement based on different techniques.