International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 30 - Issue 2 |
Published: September 2011 |
Authors: Alka Singh, K.K.Swarnkar |
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Alka Singh, K.K.Swarnkar . Power System Restoration using Particle Swarm Optimization. International Journal of Computer Applications. 30, 2 (September 2011), 25-32. DOI=10.5120/3614-5031
@article{ 10.5120/3614-5031, author = { Alka Singh,K.K.Swarnkar }, title = { Power System Restoration using Particle Swarm Optimization }, journal = { International Journal of Computer Applications }, year = { 2011 }, volume = { 30 }, number = { 2 }, pages = { 25-32 }, doi = { 10.5120/3614-5031 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2011 %A Alka Singh %A K.K.Swarnkar %T Power System Restoration using Particle Swarm Optimization%T %J International Journal of Computer Applications %V 30 %N 2 %P 25-32 %R 10.5120/3614-5031 %I Foundation of Computer Science (FCS), NY, USA
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, non-linear, 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.