Multi-Objective Hybrid WIPSO–GSA Algorithm-Based DG and Capacitor Planning for Reduction of Power Loss and Voltage Deviation in Distribution System

Abstract

In electric distribution system, majority of load connected are inductive in nature and it results in increased system power loss and reduced bus voltage profile. In this study, in order to overcome these issues, optimal planning of DG and capacitor are presented by optimizing multiple objectives such as minimization of total active power loss (Plosstotal) and reduction of voltage deviation (VD). Here, a hybrid configuration of weight improved particle swarm optimization (WIPSO) and gravitational search algorithm (GSA) called hybrid WIPSO–GSA algorithm is proposed to solve the optimization problem 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. The proposed methodology is tested on standard 33-bus and Indian 85-bus distribution system. Moreover, the total economic benefit due to optimal DG and capacitor planning are established and also the superiority of the proposed technique is illustrated by comparing the results with other existing optimization techniques.