Power System Restoration using Particle Swarm Optimization

This paper presents an efficient and reliable Particle Swarm Optimization (PSO) algorithm for solving Power System Restoration (PSR). The main objective is that after an incident due to electrical failure, power system restoration becomes a complex process involving decision-making problems of combinatory nature that can be formulated as a multi-stage, nonlinear, continuous and binary constrained optimization problem. PSO is a novel optimization method developed by Kennedy & Eberhart. This paper presents an application of the PSO algorithm to Power System Restoration for 9 Bus systems are given to demonstrate that the algorithm can be used in actual, large scale urban distribution system applications. It is found that the Power System Restoration of distribution system can be obtained very efficiently by applying the PSO. General Terms Power System, Particle Swarm Optimization.