Maximum power point tracking control for wind turbines with battery storage system

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dc.contributor.authorHburi, Ismail Sh. B.
dc.contributor.authorKhazaali, Hasan Al
dc.contributor.authorBayat, Oğuz
dc.contributor.authorAtab, Nibras Hazim Abbas Sarray
dc.date.accessioned2021-05-15T12:49:26Z
dc.date.available2021-05-15T12:49:26Z
dc.date.issued2021
dc.departmentMühendislik ve Doğa Bilimleri Fakültesi, Elektrik ve Bilgisayar Mühendisliği Bölümüen_US
dc.description.abstractIn wind energy conversation systems (WECS), power quality and energy conversion efficiency are crucial aims of control algorithms. These two points are self-contradictory and difficult to trade off where enhancing the efficiency of conversion may also enhance instability of output signal as well. In current work, we submit a wind turbines control scheme to ensure regular power and achieve variable load requests in battery based variable speed PMGS system. In the submitted scheme, model predictive control (MPC) is joint with fuzzy logic to achieve the advantages of these two diverse approaches. The suggested controller could enhance the power reliability performance of the wind turbine. According to obtained results, the proposed topology overcomes the traditional proportional/integral (PI) model by achieving profits in the context of step-overshoot response and the measure of total harmonic-distortion of nearly 1.1 percent and 1.13 percent, respectively. © 2020, Telkomnika (Telecommunication Computing Electronics and Control). All Rights Reserveden_US
dc.identifier.doi10.12928/TELKOMNIKA.v19i2.16346
dc.identifier.endpage574en_US
dc.identifier.issn1693-6930
dc.identifier.issue2en_US
dc.identifier.scopus2-s2.0-85099168550
dc.identifier.scopusqualityQ2
dc.identifier.startpage564en_US
dc.identifier.urihttps://doi.org/10.12928/TELKOMNIKA.v19i2.16346
dc.identifier.urihttps://hdl.handle.net/20.500.12939/1011
dc.identifier.volume19en_US
dc.indekslendigikaynakScopus
dc.institutionauthorBayat, Oğuz
dc.institutionauthorAtab, Nibras Hazim Abbas Sarray
dc.language.isoen
dc.publisherUniversitas Ahmad Dahlanen_US
dc.relation.ispartofTelkomnika (Telecommunication Computing Electronics and Control)
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectBattery Storageen_US
dc.subjectCost Functionen_US
dc.subjectFuzzy Logicen_US
dc.subjectModel Predictiveen_US
dc.subjectPerturb And Observingen_US
dc.titleMaximum power point tracking control for wind turbines with battery storage system
dc.typeArticle

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