Size optimization of a PV/wind hybrid energy conversion system with battery storage using simulated annealing

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dc.contributor.authorEkren O.
dc.contributor.authorEkren B.Y.
dc.date.accessioned2019-10-26T22:49:53Z
dc.date.available2019-10-26T22:49:53Z
dc.date.issued2010
dc.departmentEge Üniversitesien_US
dc.description.abstractIn this paper, we perform Simulated Annealing (SA) algorithm for optimizing size of a PV/wind integrated hybrid energy system with battery storage. The proposed methodology is a heuristic approach which uses a stochastic gradient search for the global optimization. In the study, the objective function is the minimization of the hybrid energy system total cost. And the decision variables are PV size, wind turbine rotor swept area and the battery capacity. The optimum result obtained by SA algorithm is compared with our former study's result. Consequently, it is come up with that the SA algorithm gives better result than the Response Surface Methodology (RSM). The case study is realized for a campus area in Turkey. © 2009 Elsevier Ltd.en_US
dc.identifier.doi10.1016/j.apenergy.2009.05.022
dc.identifier.endpage598en_US
dc.identifier.issn0306-2619
dc.identifier.issn0306-2619en_US
dc.identifier.issue2en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage592en_US
dc.identifier.urihttps://doi.org/10.1016/j.apenergy.2009.05.022
dc.identifier.urihttps://hdl.handle.net/11454/20230
dc.identifier.volume87en_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevier Ltden_US
dc.relation.ispartofApplied Energyen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectHybrid energyen_US
dc.subjectOptimizationen_US
dc.subjectSimulated annealingen_US
dc.subjectSimulationen_US
dc.titleSize optimization of a PV/wind hybrid energy conversion system with battery storage using simulated annealingen_US
dc.typeArticleen_US

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