Polar coordinated fuzzy controller based real-time maximum-power point control of photovoltaic system

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dc.contributor.authorSyafaruddin
dc.contributor.authorKaratepe, Engin
dc.contributor.authorHiyama, Takashi
dc.date.accessioned2019-10-27T20:48:07Z
dc.date.available2019-10-27T20:48:07Z
dc.date.issued2009
dc.departmentEge Üniversitesien_US
dc.description.abstractIt is crucial to improve the photovoltaic (PV) system efficiency and to develop the reliability of PV generation control systems. There are two ways to increase the efficiency of PV power generation system. The first is to develop materials offering high conversion efficiency at low cost. The second is to operate PV systems optimally. However, the PV system can be optimally operated only at a specific output voltage and its output power fluctuates under intermittent weather conditions. Moreover, it is very difficult to test the performance of a maximum-power point tracking (MPPT) controller under the same weather condition during the development process and also the field testing is costly and time consuming. This paper presents a novel real-time simulation technique of PV generation system by using dSPACE real-time interface system. The proposed system includes Artificial Neural Network (ANN) and fuzzy logic controller scheme using polar information. This type of fuzzy logic rules is implemented for the first time to operate the PV module at optimum operating point. ANN is utilized to determine the optimum operating voltage for monocrystalline silicon, thin-film cadmium telluride and triple junction amorphous silicon solar cells. The verification of availability and stability of the proposed system through the real-time simulator shows that the proposed system can respond accurately for different scenarios and different solar cell technologies. (C) 2009 Elsevier Ltd. All rights reserved.en_US
dc.identifier.doi10.1016/j.renene.2009.04.022
dc.identifier.endpage2606en_US
dc.identifier.issn0960-1481
dc.identifier.issn0960-1481en_US
dc.identifier.issue12en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage2597en_US
dc.identifier.urihttps://doi.org/10.1016/j.renene.2009.04.022
dc.identifier.urihttps://hdl.handle.net/11454/42657
dc.identifier.volume34en_US
dc.identifier.wosWOS:000269711300010en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherPergamon-Elsevier Science Ltden_US
dc.relation.ispartofRenewable Energyen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectPhotovoltaicen_US
dc.subjectReal-time simulatoren_US
dc.subjectMaximum-power pointen_US
dc.subjectArtificial neural networken_US
dc.subjectFuzzy logic controlen_US
dc.titlePolar coordinated fuzzy controller based real-time maximum-power point control of photovoltaic systemen_US
dc.typeArticleen_US

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