Indian Journal of Science and Technology

Abstract

Today, with advances in semiconductor technology and the ability to interface and power electronic converters and also the desires and motivations of economic and environmental another option has occurred to increase the capacity for network engineers and power systems planners. Size and place selection (planning) of distributed generation is the optimization problem that to solve it should get help from one of the optimization methods. In this paper, two methods to determine the size and location of distributed generation (DG) units are presented in distributed system. Four objective functions include, cost, power loss, voltage profile and environmental attributes are intended. The proposed algorithms are tasted on the 34- bus radial system. The results show that voltage profile and power loss improve with proposed solution.

Keywords: Distributed Generation (DG), Multi-objective Optimization Algoritm, Multi Objective Particle Swarm Optimization (MOPSO), Non-dominated Sorting Genetic Algorithm (NSGA)