Symbiotic organisms search algorithm for optimal power flow problem based on valve-point effect and prohibited zones

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dc.contributor.authorDuman, Serhat
dc.date.accessioned2020-04-30T23:32:23Z
dc.date.available2020-04-30T23:32:23Z
dc.date.issued2017
dc.departmentDÜ, Teknoloji Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.descriptionDuman, Serhat/0000-0002-1091-125Xen_US
dc.descriptionWOS: 000412313900034en_US
dc.description.abstractIn this study, symbiotic organisms search (SOS) stochastic method is proposed to solve the optimal power flow (OPF) problem with valve-point effect and prohibited zones, which is one of the most important problems of the modern power system. The SOS approach is defined as the symbiotic relationships observed between two organisms in the ecosystem, which do not need the control parameters unlike other meta-heuristic algorithms in the literature. The effectiveness of the proposed SOS method is tested on modified IEEE 30-bus test system. The OPF problem is considered with four different test cases, such as (1) without valve-point effect and prohibited zones, (2) with valve-point effect, (3) with prohibited zones and (4) with valve-point effect and prohibited zones. The obtained results from the SOS algorithm are compared with the other optimization techniques in the literature. The obtained comparison results indicate that proposed approach is effective to reach optimal solution for the OPF problem.en_US
dc.identifier.doi10.1007/s00521-016-2265-0en_US
dc.identifier.endpage3585en_US
dc.identifier.issn0941-0643
dc.identifier.issn1433-3058
dc.identifier.issue11en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage3571en_US
dc.identifier.urihttps://doi.org/10.1007/s00521-016-2265-0
dc.identifier.urihttps://hdl.handle.net/20.500.12684/4703
dc.identifier.volume28en_US
dc.identifier.wosWOS:000412313900034en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringer London Ltden_US
dc.relation.ispartofNeural Computing & Applicationsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectSymbiotic organisms search algorithmen_US
dc.subjectOptimal power flowen_US
dc.subjectValve-point effecten_US
dc.subjectProhibited zonesen_US
dc.subjectPower systemen_US
dc.subjectOptimizationen_US
dc.titleSymbiotic organisms search algorithm for optimal power flow problem based on valve-point effect and prohibited zonesen_US
dc.typeArticleen_US

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