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Power System Restoration using Particle Swarm Optimization

Author(s): Alka Singh | K.K. Swarnkar

Journal: International Journal of Computer Applications
ISSN 0975-8887

Volume: 30;
Issue: 2;
Start page: 25;
Date: 2011;
Original page

Keywords: Artificial Intelligence | Distribution System | Particle Swarm Optimization | Power System Restoration

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 decisionmaking problems of combinatory nature that can be formulated as a multistage, nonlinear, continuous and binary constrained optimization problem. PSO is a novel optimization method developed by Kennedy and 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.
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