Particle Swarm Optimization based multi objective approach for installation of dispersed generator

Abstract

This research introduces a Particle Swarm Optimization (PSO) based multi objective approach for installation of dispersed generator (DG). It consists of objectives which are explored by using impedance parameters for evaluating performance parameters of power system required for optimal DG deployment. The performance parameters like capacity, location, operating power factor, percentage penetration are found to be essential while planning a DG installation. This paper presents the methodology explored to find all these parameters through a PSO based multi objective function.

URN:NBN:sciencein.jist.2023.v11.519