An AN-GA controlled SEPIC converter for photovoltaic grid integration

Mean 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 modula...

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Main Authors: Priyadarshi N., Padmanaban S., Holm-Nielsen J.B., Ramachandaramurthy V.K., Bhaskar M.S.
Other Authors: 57195679733
Format: Conference Paper
Published: Institute of Electrical and Electronics Engineers Inc. 2023
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author Priyadarshi N.
Padmanaban S.
Holm-Nielsen J.B.
Ramachandaramurthy V.K.
Bhaskar M.S.
author2 57195679733
author_facet 57195679733
Priyadarshi N.
Padmanaban S.
Holm-Nielsen J.B.
Ramachandaramurthy V.K.
Bhaskar M.S.
author_sort Priyadarshi N.
building UNITEN Library
collection Institutional Repository
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
continent Asia
country Malaysia
description Mean 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 algorithms
format Conference Paper
id my.uniten.dspace-24698
institution Universiti Tenaga Nasional
publishDate 2023
publisher Institute of Electrical and Electronics Engineers Inc.
record_format dspace
spelling my.uniten.dspace-246982023-05-29T15:25:59Z An AN-GA controlled SEPIC converter for photovoltaic grid integration Priyadarshi N. Padmanaban S. Holm-Nielsen J.B. Ramachandaramurthy V.K. Bhaskar M.S. 57195679733 18134802000 14421042300 6602912020 56229894300 Mean 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 algorithms In 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. Final 2023-05-29T07:25:59Z 2023-05-29T07:25:59Z 2019 Conference Paper 10.1109/CPE.2019.8862395 2-s2.0-85074174415 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85074174415&doi=10.1109%2fCPE.2019.8862395&partnerID=40&md5=66efb86a04b21615921f3cd2229634b0 https://irepository.uniten.edu.my/handle/123456789/24698 8862395 Institute of Electrical and Electronics Engineers Inc. Scopus
spellingShingle Priyadarshi N.
Padmanaban S.
Holm-Nielsen J.B.
Ramachandaramurthy V.K.
Bhaskar M.S.
An AN-GA controlled SEPIC converter for photovoltaic grid integration
title An AN-GA controlled SEPIC converter for photovoltaic grid integration
title_full An AN-GA controlled SEPIC converter for photovoltaic grid integration
title_fullStr An AN-GA controlled SEPIC converter for photovoltaic grid integration
title_full_unstemmed An AN-GA controlled SEPIC converter for photovoltaic grid integration
title_short An AN-GA controlled SEPIC converter for photovoltaic grid integration
title_sort an-ga controlled sepic converter for photovoltaic grid integration
url_provider http://dspace.uniten.edu.my/