I-CPA: An Improved Carnivorous Plant Algorithm for Solar Photovoltaic Parameter Identification Problem

dc.contributor.authorBeskirli, Ayse
dc.contributor.authorDag, Idiris
dc.date.accessioned2024-01-22T12:22:25Z
dc.date.available2024-01-22T12:22:25Z
dc.date.issued2023
dc.departmentKMÜen_US
dc.description.abstractThe carnivorous plant algorithm (CPA), which was recently proposed for solving optimization problems, is a population-based optimization algorithm inspired by plants. In this study, the exploitation phase of the CPA was improved with the teaching factor strategy in order to achieve a balance between the exploration and exploitation capabilities of CPA, minimize getting stuck in local minima, and produce more stable results. The improved CPA is called the I-CPA. To test the performance of the proposed I-CPA, it was applied to CEC2017 functions. In addition, the proposed I-CPA was applied to the problem of identifying the optimum parameter values of various solar photovoltaic modules, which is one of the real-world optimization problems. According to the experimental results, the best value of the root mean square error (RMSE) ratio between the standard data and simulation data was obtained with the I-CPA method. The Friedman mean rank statistical analyses were also performed for both problems. As a result of the analyses, it was observed that the I-CPA produced statistically significant results compared to some classical and modern metaheuristics. Thus, it can be said that the proposed I-CPA achieves successful and competitive results in identifying the parameters of solar photovoltaic modules.en_US
dc.identifier.doi10.3390/biomimetics8080569
dc.identifier.issn2313-7673
dc.identifier.issue8en_US
dc.identifier.pmid38132508en_US
dc.identifier.pmid38132508
dc.identifier.scopus2-s2.0-85180675865
dc.identifier.scopusqualityQ3
dc.identifier.urihttps://doi.org/10.3390/biomimetics8080569
dc.identifier.urihttps://hdl.handle.net/11492/7978
dc.identifier.volume8en_US
dc.identifier.wosWOS:001130806600001
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Sceince
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.publisherMdpien_US
dc.relation.ispartofBiomimeticsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.snmzkmusnmz
dc.subjectparameter extractionen_US
dc.subjectparameter identificationen_US
dc.subjectphotovoltaic modelsen_US
dc.subjectsolar cellsen_US
dc.subjectsolar moduleen_US
dc.subjectcarnivorous plant algorithmen_US
dc.titleI-CPA: An Improved Carnivorous Plant Algorithm for Solar Photovoltaic Parameter Identification Problemen_US
dc.typeArticle

Dosyalar