Reconfigured single- and double-diode models for improved modelling of solar cells/modules

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dc.authoridSharma, Dr. Sunil/0000-0002-1732-2677
dc.authoridTejani, Ghanshyam/0000-0001-9106-0313
dc.contributor.authorCelik, Emre
dc.contributor.authorKarayel, Mehmet
dc.contributor.authorMaden, Dincer
dc.contributor.authorAbdel-Salam, Mahmoud
dc.contributor.authorOzturk, Nihat
dc.contributor.authorKaplan, Orhan
dc.contributor.authorTejani, Ghanshyam G.
dc.date.accessioned2025-10-11T20:48:24Z
dc.date.available2025-10-11T20:48:24Z
dc.date.issued2025
dc.departmentDüzce Üniversitesien_US
dc.description.abstractProper modeling of PV cells/modules through parameter identification based on the real current-voltage (I-V) data is important for the efficiency of PV systems. Most related works have concentrated on the classical single-diode model (SDM) and double-diode model (DDM) and their parameter extraction by various metaheuristic algorithms. In order to render more accurate and representative modeling, this paper adds a small resistance in series with the diodes in SDM and DDM. The new models are named reconfigured SDM (Reconfig-SDM) and reconfigured DDM (Reconfig-DDM), and they have not been studied so far as we know. A squirrel search algorithm (SSA) is employed to globally find the parameters of the new models. The performance achieved is experimentally tested on both a commercial RTC France solar cell and a CS6P-220P polycrystalline PV module located at D & uuml;zce University in T & uuml;rkiye. A vivid comparison of experimental findings, observation, and analysis clearly demonstrates that the proposed Reconfig-SDM and Reconfig-DDM tuned by the SSA have better capacity and effectiveness for modeling PV devices than some cutting-edge approaches. Specifically, compared with the best-performing approach in the literature, Reconfig-SDM and Reconfig-DDM could reduce the error rate up to 0.37% and 2.58% for the solar cell, and 3.21% and 29.0% for the solar module.en_US
dc.description.sponsorshipMajmaah University [R-2025-1515]en_US
dc.description.sponsorshipDeanship of Postgraduate Studies and Scientific Research at Majmaah Universityen_US
dc.description.sponsorshipThe author extends the appreciation to the Deanship of Postgraduate Studies and Scientific Research at Majmaah University for funding this research work through the project number (R-2025-1515).en_US
dc.identifier.doi10.1038/s41598-025-86063-2
dc.identifier.issn2045-2322
dc.identifier.issue1en_US
dc.identifier.pmid39814860en_US
dc.identifier.scopus2-s2.0-85215998331en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org/10.1038/s41598-025-86063-2
dc.identifier.urihttps://hdl.handle.net/20.500.12684/21909
dc.identifier.volume15en_US
dc.identifier.wosWOS:001398109700007en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.language.isoenen_US
dc.publisherNature Portfolioen_US
dc.relation.ispartofScientific Reportsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.snmzKA_WOS_20250911
dc.subjectPV modelingen_US
dc.subjectI-V characteristicen_US
dc.subjectReconfigured SDMen_US
dc.subjectReconfigured DDMen_US
dc.subjectParameter identificationen_US
dc.subjectSquirrel search algorithmen_US
dc.titleReconfigured single- and double-diode models for improved modelling of solar cells/modulesen_US
dc.typeArticleen_US

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