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A Fuzzy Logic Control for Maximum Power Point Tracking Algorithm Validated in a Commercial PV System

dc.contributor.authorDerbeli, Mohamed
dc.contributor.authorNapole, Cristian
dc.contributor.authorBarambones Caramazana, Oscar ORCID
dc.date.accessioned2023-01-23T16:07:46Z
dc.date.available2023-01-23T16:07:46Z
dc.date.issued2023-01-09
dc.identifier.citationEnergies 16(2) : (2023) // Article ID 748es_ES
dc.identifier.issn1996-1073
dc.identifier.urihttp://hdl.handle.net/10810/59421
dc.description.abstractPhotovoltaic (PV) panels are devices capable of transforming solar energy into electricity without emissions. They are still a trending technology in the market not only because of the renewable features but also due to the avoidance of movable parts, which makes them an option with low maintenance. If the output voltage is insufficient or needs to be regulated, a boost converter is commonly connected to a PV panel. In this article, a commercial PV with a boost converter is controlled through a dSPACE platform for a maximum power point tracking (MPPT) task. Due to previous related experience, a fuzzy logic technique is designed and tested in real-time. The results are compared with an incremental conductance (IncCond) algorithm because it is a feasible and reliable tool for MPPT purposes. The outcomes show enhancement (in comparison with IncCond) in the steady-state oscillation, response time and overshoot values, which are 73.2%, 81.5% and 52.9%, respectively.es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectmaximum power point trackinges_ES
dc.subjectfuzzy logices_ES
dc.subjectfuzzy setes_ES
dc.subjectincremental conductancees_ES
dc.subjectpower converters controles_ES
dc.subjectphotovoltaices_ES
dc.titleA Fuzzy Logic Control for Maximum Power Point Tracking Algorithm Validated in a Commercial PV Systemes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.date.updated2023-01-20T14:23:14Z
dc.rights.holder© 2023 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.publisherversionhttps://www.mdpi.com/1996-1073/16/2/748es_ES
dc.identifier.doi10.3390/en16020748
dc.departamentoesIngeniería de sistemas y automática
dc.departamentoeuSistemen ingeniaritza eta automatika


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© 2023 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/).
Except where otherwise noted, this item's license is described as © 2023 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/).