A new hybrid particle swarm optimization technique for optimal capacitor placement in radial distribution systems

Abstract

A new hybrid particle swarm optimization algorithm based on black-hole theory called modified black-hole particle swarm optimization (MBHPSO) is introduced in the present paper. Placement of capacitor of optimal sizes and at optimal locations not only reduces the power losses, but also improves the voltage stability of the electric power systems. Several meta-heuristic techniques have been used by Scientists and researchers over the years to address the problems of capacitor placements. They are very effective and powerful in comparison with conventional methods in solving complex nonlinear constrained optimization problems. But one of the major difficulties for these methods is the premature convergence. A new improved hybrid technique is introduced in this paper that addresses the issues of premature convergence successfully for the present problem. The accuracy, performance and effectiveness are authenticated by testing the algorithm proposed in the present paper on a test system. The present paper also compares the results with those obtained by applying several other modern techniques such as fuzzy reasoning, plant growth simulation algorithm, opposition based differential evolution. The outcomes of the experiment show that high quality solutions can be obtained by the proposed method.