Learning-based approaches for voltage regulation and control in DC microgrids with CPL

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dc.contributor.authorGüngör, Mustafa
dc.contributor.authorAsker, Mehmet Emin
dc.date.accessioned2024-04-24T17:20:53Z
dc.date.available2024-04-24T17:20:53Z
dc.date.issued2023
dc.departmentDicle Üniversitesi, Diyarbakır Teknik Bilimler Meslek Yüksekokulu, Elektrik ve Enerji Bölümüen_US
dc.description.abstractThis article introduces a novel approach to voltage regulation in a DC/DC boost converter. The approach leverages two advanced control techniques, including learning-based nonlinear control. By combining the backstepping (BSC) algorithm with artificial neural network (ANN)-based control techniques, the proposed approach aims to achieve accurate voltage tracking. This is accomplished by employing the nonlinear distortion observer (NDO) technique, which enables a fast dynamic response through load power estimation. The process involves training a neural network using data from the BSC controller. The trained network is subsequently utilized in the voltage regulation controller. Extensive simulations are conducted to evaluate the performance of the proposed control strategy, and the results are compared to those obtained using conventional BSC and model predictive control (MPC) controllers. The simulation results clearly demonstrate the effectiveness and superiority of the suggested control strategy over BSC and MPC.en_US
dc.identifier.citationGüngör, M. ve Asker, M. E. (2023). Learning-based approaches for voltage regulation and control in DC microgrids with CPL. Sustainability (Switzerland), 15(21), 1-14.
dc.identifier.doi10.3390/su152115501
dc.identifier.issn2071-1050
dc.identifier.issue21en_US
dc.identifier.urihttps://doi.org/10.3390/su152115501
dc.identifier.urihttps://hdl.handle.net/11468/19287
dc.identifier.urihttps://www.mdpi.com/2071-1050/15/21/15501
dc.identifier.volume15en_US
dc.identifier.wosWOS:001100368300001
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.language.isoenen_US
dc.publisherMdpien_US
dc.relation.ispartofSustainability
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectAnnen_US
dc.subjectPower estimationen_US
dc.subjectBscen_US
dc.subjectVoltage regulationen_US
dc.subjectModel predictive controlen_US
dc.titleLearning-based approaches for voltage regulation and control in DC microgrids with CPLen_US
dc.titleLearning-based approaches for voltage regulation and control in DC microgrids with CPL
dc.typeArticleen_US

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