Multi-Objective Hybrid WIPSO-GSA Algorithm Based DG and Capacitor Planning for Loss Reduction and Loadability Enhancement in Distribution System

Abstract

In this study, a hybrid configuration of weight improved particle swarm optimization (WIPSO) and gravitational search algorithm (GSA) termed hybrid WIPSO-GSA algorithm is proposed in multi-objective problem domain. In order to solve multi-objective optimization problem, the proposed hybrid WIPSO-GSA algorithm is integrated with two components. The first component is fixed-sized archive that is responsible for storing a set of non-dominated pareto optimal solutions and the second component is a leader selection strategy that helps to update and identify the best compromised solution from the archive. Here, in order to minimize power losses and to enhance voltage stability and maximum loadability, multiple objective functions such as minimization of total active power loss $\pmb{(P_{loss}^{\quad total})}$ , minimization of total reactive power loss $\pmb{(Q_{loss}^{\quad total})}$ and reduction of voltage deviation (VD) are optimized simultaneously to determine best compromised installation of distributed generation (DG) and capacitor in distribution network. The proposed technique is tested on standard 33-bus radial distribution system and its superiority is illustrated by comparing the results with other commonly used multi-objective techniques.