Enriched Particle Swarm Optimization for Solving Optimal Reactive Power Dispatch Problem

Abstract

In this paper, a different approach, Enriched particle Swarm optimization (EPSO) Algorithm for solving optimal reactive power dispatch problem has been presented. Particle swarm optimization is affected by early convergence, no assurance in finding optimal solution. This paper proposes EPSO using multiple sub swarm PSO in blend with multi exploration space algorithm. The particles are alienated into equal parts and arrayed into the number of sub swarms available. Multi-exploration space algorithm is used to obtain an optimum solution for each sub swarm and these solutions are then arrayed yet into a new swarm to obtain the best of all the solution. The proposed EPSO algorithm has been tested on standard IEEE 30 bus test system and simulation results show the commendable performance of the proposed algorithm in reducing the real power loss.

Keywords:Optimal Reactive Power, Transmission loss, Enriched particle Swarm optimization, Multi-exploration