Optimal Power Flow using Particle Swarm Optimization Algorithm

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dc.contributor.authorMaheshwar, Sharma
dc.contributor.authorMahesh Kumar, .S.Zanje
dc.contributor.authorHimesh, Sharma
dc.contributor.authorK.R, Vallabhan
dc.date.accessioned2015-12-26T04:24:53Z
dc.date.available2015-12-26T04:24:53Z
dc.date.issued2015-12-26T04:24:53Z
dc.description.abstractThis paper presents solution of optimal power flow (OPF) problem of a power system via a simple particle swarm optimization (PSO) algorithm. The particle swarm optimization method is dynamic in nature and it overcomes the shortcomings of other evolutionary computation techniques such as premature convergence and provides high quality solutions. The objective of this method is to minimize the fuel cost and keep the power outputs of generators, bus voltages, shunt capacitors/reactors and transformers tap setting in their secure limits. The effectiveness of PSO was compared to that of OPF by MATPOWER. The potential and superiority of PSO have been demonstrated through the results of IEEE 30-bus system.en_US
dc.identifier.urihttp://hdl.handle.net/123456789/5511
dc.language.isoenen_US
dc.subjectOptimal Power Flow using Particle Swarm Optimization Algorithmen_US
dc.subjectMaheshwar Sharmaen_US
dc.subjectMahesh Kumar.S.Zanjeen_US
dc.subjectHimesh Sharmaen_US
dc.subjectK.R.Vallabhanen_US
dc.titleOptimal Power Flow using Particle Swarm Optimization Algorithmen_US
dc.typeThesisen_US
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