Optimal power flow using genetic algorithm based on similarity

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dc.contributor.authorGüvenç, Uğur
dc.contributor.authorAltun, Bekir Emre
dc.contributor.authorDuman, Serhat
dc.date.accessioned2020-04-30T23:20:16Z
dc.date.available2020-04-30T23:20:16Z
dc.date.issued2012
dc.departmentDÜ, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.descriptionDuman, Serhat/0000-0002-1091-125X; GUVENC, Ugur/0000-0002-5193-7990en_US
dc.descriptionWOS: 000300337000001en_US
dc.description.abstractThe paper describes a successful adaptation of the Genetic algorithm based on similarity for solving power flow (OPF) problem in power systems. In the proposed method, three different similarity measurements have been used for calculating new chromosomes. The proposed approach which is evaluated on standard IEEE 30 bus system is implemented to minimize the total fuel cost considering power flow equations and generation, transformer and security constraints. The feasibility of the proposed method is compared to other methods in the literature. The simulation results show that the proposed approach is efficient and suitable and seems to be a promising alternative approach for solving the OPF problem in power systems.en_US
dc.identifier.endpage10en_US
dc.identifier.issn1308-772X
dc.identifier.issue1en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage1en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12684/3972
dc.identifier.volume29en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSila Scienceen_US
dc.relation.ispartofEnergy Education Science And Technology Part A-Energy Science And Researchen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectGenetic algorithmsen_US
dc.subjectMeasurementen_US
dc.subjectOptimizationen_US
dc.subjectPower system securityen_US
dc.titleOptimal power flow using genetic algorithm based on similarityen_US
dc.typeArticleen_US

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