Please use this identifier to cite or link to this item: http://10.1.7.192:80/jspui/handle/123456789/10518
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dc.contributor.authorTIWARI, ADITYA-
dc.date.accessioned2022-01-24T05:45:46Z-
dc.date.available2022-01-24T05:45:46Z-
dc.date.issued2021-06-01-
dc.identifier.urihttp://10.1.7.192:80/jspui/handle/123456789/10518-
dc.description.abstractEconomic load dispatch is the major problem of power system operation. ELD is one of the main optimization problems that give rise to the economic status of the Power System. The Conventional optimization methods are inefficient in solving complex ELD problems. PSO algorithm is selected over Conventional methods because of its high efficiency and faster convergence rate. ELD problem is solved on 3 test systems 6 unit, 10 unit and 15 unit system. Different PSO algorithms are used to minimize the total operating cost. Lambda iteration method, IPSO algorithm and CPSO algorithm are performed on 6 unit system. Standard PSO, CIPSO algorithm and TVACPSO algorithm are performed on ten unit and fifteen unit system to obtain better result in PSO. In this report, the ELD is considered without the losses for simplicity. The total cost and convergence characteristics are obtained for different PSO algorithms. The Particle swarm optimization (PSO) technique is the most effective approach used for the ELD problem.en_US
dc.publisherInstitute of Technologyen_US
dc.relation.ispartofseries19MEEE01;-
dc.subjectElectrical 2019en_US
dc.subjectProject Report 2019en_US
dc.subjectElectrical Project Reporten_US
dc.subjectProject Reporten_US
dc.subject19MEEen_US
dc.subject19MEEEen_US
dc.subject19MEEE01en_US
dc.subjectEPSen_US
dc.subjectEPS 2019en_US
dc.subjectEE (EPS)en_US
dc.subjectElectrical Power Systemsen_US
dc.titleSolving Economic Load Dispatch Problem using Particle Swarm Optimization Techniqueen_US
dc.typeDissertationen_US
Appears in Collections:Dissertation, EE (EPS)

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