A comprehensive evaluation of up-to-date optimization algorithms on MPPT application for photovoltaic systems

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dc.authorid0000-0001-6723-5769
dc.authorid0000-0002-6763-058X
dc.contributor.authorCikan, Murat
dc.contributor.authorDoğanşahin, Kadir
dc.date.accessioned2025-07-25T11:17:36Z
dc.date.available2025-07-25T11:17:36Z
dc.date.issued2023
dc.departmentAÇÜ, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü
dc.description.abstractMaximum Power Point Tracking (MPPT) plays a significant role in obtaining maximum power at PV system outputs. Recent research has focused on minimizing the adverse effects of partial shading and dynamic environmental conditions on MPPT. Metaheuristic optimization algorithms have attracted attention with their success in these issues. The growing body of literature lacks a study that comprehensively evaluates current metaheuristic algorithms. In this study, the performances of 20 metaheuristic algorithms under five different shading conditions, nonuniform temperature distribution, and variable irradiance conditions have been investigated. The successes of the algorithms in the convergence of the global maximum value and their convergence rates have been calculated through various statistical metrics with different aspects. This study provides a novel approach to objectively evaluating the performances of the algorithms by using the three-dimensional Pareto Front method. As the result of this multicriteria evaluation, RKO, MPA and CGO algorithms are able to provide non-dominated results. These three algorithms are further tested using case analysis designed for dynamic operating conditions, and the RKO algorithm exhibited the most favorable results. Additionally, the RKO algorithm exhibits remarkable performance by reaching the LMPP/GMPP point within an average time of 3.2 milliseconds in all cases. Moreover, it demonstrates an average efficiency value exceeding 0.999.
dc.identifier.doi10.1080/15567036.2023.2245771
dc.identifier.endpage10407
dc.identifier.issn15567036
dc.identifier.issue4
dc.identifier.scopus2-s2.0-85168155964
dc.identifier.scopusqualityQ1
dc.identifier.startpage10381
dc.identifier.urihttps://hdl.handle.net/11494/5883
dc.identifier.volume45
dc.indekslendigikaynakScopus
dc.institutionauthorDoğanşahin, Kadir
dc.institutionauthorid0000-0002-6763-058X
dc.language.isoen
dc.publisherTaylor and Francis Ltd.
dc.relation.ispartofEnergy Sources, Part A: Recovery, Utilization and Environmental Effects
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/embargoedAccess
dc.subjectMeta-heuristic algorithms
dc.subjectMPPT
dc.subjectOptimization
dc.subjectPV systems
dc.subjectRunge-kutta algorithm
dc.titleA comprehensive evaluation of up-to-date optimization algorithms on MPPT application for photovoltaic systems
dc.typeArticle

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