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dc.contributor.authorCELTEK, Seyit Alperen
dc.contributor.authorKUL, Seda
dc.date.accessioned2024-04-25T07:07:13Z
dc.date.available2024-04-25T07:07:13Z
dc.date.issued2023
dc.identifier.issn2147-3188
dc.identifier.urihttp://dspace.beu.edu.tr:8080/xmlui/handle/123456789/14851
dc.description.abstractDue to the increasing crises in energy and environmental factors, the importance of renewable energy is increasing. However, it is gaining importance in developing photovoltaic energy systems. Therefore, great efforts are made to maximize success in accurately modeling PV parameters. Parameter estimation is a complex problem and requires advanced design tools such as optimization techniques because the current voltage (I–V) characteristics of PVs are nonlinear. This study investigates the best technique to estimate the parameters obtained in single-diode and double-diode cases. The Grey Wolf Optimization (GWO), Improved Grey Wolf Optimization (IGWO), Sine Cosine Algorithm (SCA), Whale Optimization Algorithm (WOA), and Multi-Verse Optimizer (MVO) are the algorithms used in this paper. Apart from the literature, this study considers that the PV parameter extraction problem is not just an offline optimization problem but also a real-time optimization issue. The performance of all methods has been compared with experimental data. The lowest error on minimum iteration and highest convergence accuracy have been achieved for offline optimization by using IGWO. The results clearly state that the IGWO is not usable in real-time applications even though IGWO is the best optimizer in offline optimizationtr_TR
dc.language.isoEnglishtr_TR
dc.publisherBitlis Eren Üniversitesitr_TR
dc.rightsinfo:eu-repo/semantics/openAccesstr_TR
dc.subjectSolar energytr_TR
dc.subjectPV parametertr_TR
dc.subjectMeta-heuristictr_TR
dc.subjectSingle Diode PVtr_TR
dc.subjectImproved Grey Wolf Optimizertr_TR
dc.titleParameter Extraction of PV Solar Cells Using Metaheuristic Methodstr_TR
dc.typeArticletr_TR
dc.identifier.issue4tr_TR
dc.identifier.startpage1041tr_TR
dc.identifier.endpage1053tr_TR
dc.relation.journalBitlis Eren Üniversitesi Fen Bilimleri Dergisitr_TR
dc.identifier.volume12tr_TR


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