A multi objective multi-stage particle swarm optimization MOPSO search scheme for power quality and loss reduction on radial distribution system

Abstract

– There is an increasing interest in renewable and green energy sources and the integration of Distributed Generation DG into the power grid system. The problem of optimal capacitor allocation in electric distribution systems involves maximizing energy utilization, feeder loss reduction, and power factor correction. The feeder loss can be separated into two parts based on the active and reactive power loss components. The paper presents a novel method for minimizing the loss associated with the reactive component of branch currents by placing shunt capacitor optimally selected banks. This paper presents a novel technique for capacitor sizing using the Multi objective multi-stage Particle Swarm Optimization MOPSO to determine optimal capacitor sizes in a radial distribution system. The main objective functions are: 1. Minimize the feeder current for feeder loss reduction, 2. Minimum voltage deviation at each bus of the distribution system, and 3. Feeder capacity release.