DEVELOPMENT OF REAL-TIME SIMULATOR BASED ON INTELLIGENT TECHNIQUES FOR MAXIMUM POWER POINT CONTROLLER OF PHOTOVOLTAIC SYSTEM

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dc.contributor.authorSyafaruddin
dc.contributor.authorKaratepe, Engin
dc.contributor.authorHiyama, Takashi
dc.date.accessioned2019-10-27T21:18:21Z
dc.date.available2019-10-27T21:18:21Z
dc.date.issued2010
dc.departmentEge Üniversitesien_US
dc.description.abstractThe power conversion efficiency of solar cell depends on material science. On the other hand, it is a very important issue to reduce the power losses in photovoltaic systems. Many available commercial P V modules have been used. However, since their characteristics are not unique and on-site testing of PV system is costly, time-consumed and highly dependent on the prevailing weather conditions, a real-time simulator becomes an important tool to support the research and development in P V system. The impact of operating conditions on different solar cells performance should be well understood at optimal operating points to increase the efficiency of photovoltaic systems. This paper firstly explores the relationships between solar intensity and operating temperature variations and key solar cell parameters for commercial available photovoltaic modules. The results show that the characteristics of different solar cell technologies at maximum power point (MPP) have different trends in current-voltage characteristic. In this reason, a robust real-time simulator is very important for different solar cell technologies. Then, this paper presents intelligent real-time simulator for simulating and testing the effect of the fluctuation of irradiance level and cell temperature on the MPP performance of PV modules. Intelligent techniques are becoming useful for non-linear problems because of their symbolic reasoning, flexibility and generalization capabilities. There is a trade-off between the complexity of system and efficiency in optimally operating photovoltaic modules. This method is highly dependent on ANN training process for each cell technology and simply generates control signal required in fuzzy logic controller. The developed real-time simulator has been successfully demonstrated for different commercially available photovoltaic modules.en_US
dc.description.sponsorshipGraduate School Action Scheme for internationalization of University Students (GRASIUS) at Kumamoto University, Japanen_US
dc.description.sponsorshipThis work is a part of project report that was supported by Graduate School Action Scheme for internationalization of University Students (GRASIUS) Project in 2008 at Kumamoto University, Japan.en_US
dc.identifier.endpage1642en_US
dc.identifier.issn1349-4198
dc.identifier.issn1349-4198en_US
dc.identifier.issue4en_US
dc.identifier.startpage1623en_US
dc.identifier.urihttps://hdl.handle.net/11454/43966
dc.identifier.volume6en_US
dc.identifier.wosWOS:000276578000007en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherIcic Inten_US
dc.relation.ispartofInternational Journal of Innovative Computing Information and Controlen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectPhotovoltaic systemen_US
dc.subjectMPPen_US
dc.subjectANNen_US
dc.subjectFuzzy logic controlleren_US
dc.subjectReal-time simulatoren_US
dc.titleDEVELOPMENT OF REAL-TIME SIMULATOR BASED ON INTELLIGENT TECHNIQUES FOR MAXIMUM POWER POINT CONTROLLER OF PHOTOVOLTAIC SYSTEMen_US
dc.typeArticleen_US

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