Fuzzy Logic Approach for Maximum Power Point Tracking Implemented in a Real Time Photovoltaic System
dc.contributor.author | Napole, Cristian | |
dc.contributor.author | Derbeli, Mohamed | |
dc.contributor.author | Barambones Caramazana, Oscar | |
dc.date.accessioned | 2021-07-15T07:25:22Z | |
dc.date.available | 2021-07-15T07:25:22Z | |
dc.date.issued | 2021-06-25 | |
dc.identifier.citation | Applied Sciences 11(13) : (2021) // Article ID 5927 | es_ES |
dc.identifier.issn | 2076-3417 | |
dc.identifier.uri | http://hdl.handle.net/10810/52458 | |
dc.description.abstract | Photovoltaic (PV) panels are devices capable of converting solar energy to electrical without emissions generation, and can last for several years as there are no moving parts involved. The best performance can be achieved through maximum power point tracking (MPPT), which is challenging because it requires a sophisticated design, since the solar energy fluctuates throughout the day. The PV used in this research provided a low output voltage and, therefore, a boost-converter with a non-linear control law was implemented to reach a suitable end-used voltage. The main contribution of this research is a novel MPPT method based on a voltage reference estimator (VRE) combined with a fuzzy logic controller (FLC) in order to obtain the maximum power from the PV panel. This structure was implemented in a dSpace 1104 board for a commercial PV panel, PEIMAR SG340P. The scheme was compared with a conventional perturbation and observation (P&O) and with a sliding mode controller (SMC), where the outcomes demonstrated the superiority of the proposed advanced method. | es_ES |
dc.description.sponsorship | This research was funded by the Basque Government, Diputación Foral de Álava and UPV/EHU, respectively, through the projects EKOHEGAZ (ELKARTEK KK-2021/00092), CONAVANTER and GIU20/063. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | MDPI | es_ES |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es/ | |
dc.subject | FLC | es_ES |
dc.subject | PV system | es_ES |
dc.subject | MPPT | es_ES |
dc.subject | P&O | es_ES |
dc.subject | nonlinear control | es_ES |
dc.subject | voltage reference estimator | es_ES |
dc.subject | boost converter | es_ES |
dc.title | Fuzzy Logic Approach for Maximum Power Point Tracking Implemented in a Real Time Photovoltaic System | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.date.updated | 2021-07-08T14:21:44Z | |
dc.rights.holder | © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). | es_ES |
dc.relation.publisherversion | https://www.mdpi.com/2076-3417/11/13/5927 | es_ES |
dc.identifier.doi | 10.3390/app11135927 | |
dc.departamentoes | Ingeniería de sistemas y automática | |
dc.departamentoeu | Sistemen ingeniaritza eta automatika |
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Except where otherwise noted, this item's license is described as © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).