Neural network based solar cell model

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dc.contributor.authorKaratepe, E
dc.contributor.authorBoztepe, M
dc.contributor.authorColak, M
dc.date.accessioned2019-10-27T19:18:18Z
dc.date.available2019-10-27T19:18:18Z
dc.date.issued2006
dc.departmentEge Üniversitesien_US
dc.description.abstractThis paper presents a neural network based approach for improving the accuracy of the electrical equivalent circuit of a photovoltaic module. The equivalent circuit parameters of a PV module mainly depend on solar irradiation and temperature. The dependence on environmental factors of the circuit parameters is investigated by using a set of current-voltage curves. It is shown that the relationship between them is nonlinear and cannot be easily expressed by any analytical equation. Therefore, the neural network is utilized to overcome these difficulties. The neural network is trained once by using some measured current-voltage curves, and the equivalent circuit parameters are estimated by only reading the samples of solar irradiation and temperature very quickly without solving any nonlinear implicit equations that is necessary in conventional methods. To verify the proposed model, an experimental set up is installed. The comparison between the measured values and the proposed model results shows higher accuracy than the conventional model for all operating conditions. (c) 2005 Elsevier Ltd. All rights reserved.en_US
dc.identifier.doi10.1016/j.enconman.2005.07.007
dc.identifier.endpage1178en_US
dc.identifier.issn0196-8904
dc.identifier.issn1879-2227
dc.identifier.issn0196-8904en_US
dc.identifier.issn1879-2227en_US
dc.identifier.issue09.Octen_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage1159en_US
dc.identifier.urihttps://doi.org/10.1016/j.enconman.2005.07.007
dc.identifier.urihttps://hdl.handle.net/11454/38556
dc.identifier.volume47en_US
dc.identifier.wosWOS:000236047800008en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherPergamon-Elsevier Science Ltden_US
dc.relation.ispartofEnergy Conversion and Managementen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectphotovoltaic moduleen_US
dc.subjectequivalent circuit parameteren_US
dc.subjectartificial neural networken_US
dc.subjectI-V characteristicsen_US
dc.subjectmodelingen_US
dc.titleNeural network based solar cell modelen_US
dc.typeArticleen_US

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