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An AN-GA controlled SEPIC converter for photovoltaic grid integration

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dc.citedby1
dc.contributor.authorPriyadarshi N.en_US
dc.contributor.authorPadmanaban S.en_US
dc.contributor.authorHolm-Nielsen J.B.en_US
dc.contributor.authorRamachandaramurthy V.K.en_US
dc.contributor.authorBhaskar M.S.en_US
dc.contributor.authorid57195679733en_US
dc.contributor.authorid18134802000en_US
dc.contributor.authorid14421042300en_US
dc.contributor.authorid6602912020en_US
dc.contributor.authorid56229894300en_US
dc.date.accessioned2023-05-29T07:25:59Z
dc.date.available2023-05-29T07:25:59Z
dc.date.issued2019
dc.descriptionMean square error; Neural networks; Photovoltaic cells; Power converters; Power electronics; Vector spaces; Voltage control; Bayesian regulation; Grid; Photovoltaic; Photovoltaic systems; Root mean square errors; SEPIC; Single ended primary inductor converter (SEPIC); Space vector pulse width modulation; Genetic algorithmsen_US
dc.description.abstractIn this paper, Artificial Neural Network (ANN) optimization with Genetic Algorithm (GA) is implemented. The optimized training to ANN is provide using Bayesian regulation. For this study, a Photovoltaic (PV) system has considered and optimal power tracking been interpreted with proper adjustment of ANN weights using GA approach, which reduces the Root Mean Square Error (RMSE). In this work, the single-ended primary-inductor converter (SEPIC) has been utilized for better power tracking from PV modules. SEPIC Converter accomplish with impedance matching power device and provides utmost PV power tracking. Space vector pulse width modulation-dSPACE interface been utilized as an inverter control. Simulated responses show the potency of the proposed system under sag, swell and varying loading conditions. � 2019 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo8862395
dc.identifier.doi10.1109/CPE.2019.8862395
dc.identifier.scopus2-s2.0-85074174415
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85074174415&doi=10.1109%2fCPE.2019.8862395&partnerID=40&md5=66efb86a04b21615921f3cd2229634b0
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/24698
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitleProceedings - 2019 IEEE 13th International Conference on Compatibility, Power Electronics and Power Engineering, CPE-POWERENG 2019
dc.titleAn AN-GA controlled SEPIC converter for photovoltaic grid integrationen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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