An improved particle swarm optimization for optimal power flow

Abstract

This paper presents an improved particle swarm optimization (PSO) to solve optimal power flow (OPF) problems. The standard PSO algorithm is extended by incorporating a biology concept "passive congregation" to prevent premature convergence and refine the convergence performance. The proposed approach has been evaluated on an IEEE 30-bus test system with 3 different cases which minimize fuel cost, improve voltage profile and enhance voltage stability, respectively. The results obtained with the proposed approach are presented and compared favourably with results of other approaches.