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Battery Charge Control in Solar Photovoltaic Systems Based on Fuzzy Logic and Jellyfish Optimization Algorithm

dc.contributor.authorAhmed Ali Agoub, Ramadan
dc.contributor.authorHançerlioğullari, Aybaba
dc.contributor.authorRahebi, Javad
dc.contributor.authorLópez Guede, José Manuel ORCID
dc.date.accessioned2023-11-23T17:15:14Z
dc.date.available2023-11-23T17:15:14Z
dc.date.issued2023-10-18
dc.identifier.citationApplied Sciences 13(20) : (2023) // Article ID 11409es_ES
dc.identifier.issn2076-3417
dc.identifier.urihttp://hdl.handle.net/10810/63135
dc.description.abstractThe study focuses on the integration of a fuzzy logic-based Maximum Power Point Tracking (MPPT) system, an optimized proportional Integral-based voltage controller, and the Jellyfish Optimization Algorithm into a solar PV battery setup. This integrated approach aims to enhance energy harvesting efficiency under varying environmental conditions. The study’s innovation lies in effectively addressing challenges posed by diverse environmental factors and loads. The utilization of MATLAB 2022a Simulink for modeling and the Jellyfish Optimization Algorithm for PI-controller tuning further strengthens our findings. Testing scenarios, including constant and variable irradiation, underscore the significant enhancements achieved through the integration of fuzzy MPPT and the Jellyfish Optimization Algorithm with the PI-based voltage controller. These enhancements encompass improved power extraction, optimized voltage regulation, swift settling times, and overall efficiency gains.es_ES
dc.description.sponsorshipThe authors were supported by the Vitoria-Gasteiz Mobility Lab Foundation, an organization of the government of the Provincial Council of Araba and the City Council of Vitoria-Gasteiz through the following project grant (“Generación de mapas mediante drones e Inteligencia Computacional”).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.subjectPV systemes_ES
dc.subjectbattery storagees_ES
dc.subjectMPPTes_ES
dc.subjectfuzzy MPPTes_ES
dc.subjectPSOes_ES
dc.subjectGAes_ES
dc.subjectjellyfish optimizationes_ES
dc.titleBattery Charge Control in Solar Photovoltaic Systems Based on Fuzzy Logic and Jellyfish Optimization Algorithmes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.date.updated2023-10-27T12:58:14Z
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/2076-3417/13/20/11409es_ES
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/).