A novel gene expression programming-based MPPT technique for PV micro-inverter applications under fast-changing atmospheric conditions

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dc.authoridZor, Kasim/0000-0001-6443-114X
dc.authoridCELIK, Ozgur/0000-0002-7683-2415
dc.contributor.authorCelik, Ozgur
dc.contributor.authorZor, Kasim
dc.contributor.authorTan, Adnan
dc.contributor.authorTeke, Ahmet
dc.date.accessioned2025-01-06T17:38:18Z
dc.date.available2025-01-06T17:38:18Z
dc.date.issued2022
dc.description.abstractThe erratic behavior of the atmospheric conditions adversely affects efficient energy harvesting and the stable operation of photovoltaic systems. It is therefore critical to draw maximum power from photovoltaic modules regardless of atmospheric conditions. The maximum power point tracking techniques have crucial impacts on both efficient and stable operation of photovoltaic systems as being the controller part of the power converters. In this paper, a novel gene expression programming-based maximum power point tracking technique is proposed for micro-inverter applications under fast-changing atmospheric conditions. In this context, the main objective of this study is to improve the significant performance indices of maximum power point tracking technique including convergence speed during transients, tracking accuracy, steady-state oscillations, and rate of overshoots for ensuring the stable and efficient operation of the photovoltaic micro-inverter system. The proposed maximum power point tracking technique is integrated to a two-stage grid-connected micro-inverter system and tested in terms of the aforementioned performance parameters. The performance analyses of the developed technique are performed under various scenarios by utilizing the PSCAD/EMTDC platform. The obtained results reveal that the rate of overshoots is decreased by 0.6 A while the convergence speed is accelerated by 1.4 s. In comparison with traditional MPPT techniques, tracking accuracy, steady-state stability, and robustness of the whole system are remarkably improved along with increasing overall system efficiency by 4%. It is also worth pointing out that the complexity level of the control technique is significantly reduced by the equation obtained through the symbolic regression analysis.
dc.description.sponsorshipScientific and Technological Research Council of Turkey (TUBITAK) [EEEAG-118E940]; Scientific Research Project Unit of Cukurova Uni-versity [FDK-2017-9136]
dc.description.sponsorshipAcknowledgments The authors would like to thank the Scientific and Technological Research Council of Turkey (TUBITAK) (Project Number: EEEAG-118E940) and the Scientific Research Project Unit of Cukurova Uni-versity (Project number: FDK-2017-9136) for the financial support.
dc.identifier.doi10.1016/j.solener.2022.05.012
dc.identifier.endpage282
dc.identifier.issn0038-092X
dc.identifier.issn1471-1257
dc.identifier.scopus2-s2.0-85130169966
dc.identifier.scopusqualityQ1
dc.identifier.startpage268
dc.identifier.urihttps://doi.org/10.1016/j.solener.2022.05.012
dc.identifier.urihttps://hdl.handle.net/20.500.14669/2524
dc.identifier.volume239
dc.identifier.wosWOS:000809811400002
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherPergamon-Elsevier Science Ltd
dc.relation.ispartofSolar Energy
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241211
dc.subjectGrid-Connected Photovoltaic Systems
dc.subjectMPPT
dc.subjectMicro-Inverter
dc.subjectGEP
dc.subjectEfficiency
dc.titleA novel gene expression programming-based MPPT technique for PV micro-inverter applications under fast-changing atmospheric conditions
dc.typeArticle

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