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

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dc.contributor.authorAhmed Ali Agoub, Ramadan
dc.contributor.authorHançerlioğullari, Aybaba
dc.contributor.authorRahebi, Javad
dc.contributor.authorLopez-Guede, Jose Manuel
dc.date.accessioned2026-01-04T19:19:57Z
dc.date.issued2023-10-18
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.
dc.description.urihttps://doi.org/10.3390/app132011409
dc.description.urihttp://hdl.handle.net/10810/63135
dc.description.urihttps://doaj.org/article/53d9ebb112574d708260be3e681ac81d
dc.identifier.doi10.3390/app132011409
dc.identifier.eissn2076-3417
dc.identifier.openairedoi_dedup___::002c7407b779bd8f30b3d69b40cac8d3
dc.identifier.orcid0000-0001-9125-330x
dc.identifier.orcid0000-0001-9875-4860
dc.identifier.orcid0000-0002-5310-1601
dc.identifier.scopus2-s2.0-85184814952
dc.identifier.startpage11409
dc.identifier.urihttps://hdl.handle.net/20.500.12597/41124
dc.identifier.volume13
dc.identifier.wos001090602500001
dc.language.isoeng
dc.publisherMDPI AG
dc.relation.ispartofApplied Sciences
dc.rightsOPEN
dc.subjectTechnology
dc.subjectQH301-705.5
dc.subjectT
dc.subjectPhysics
dc.subjectQC1-999
dc.subjectMPPT
dc.subjectGA
dc.subjectPSO
dc.subjectfuzzy MPPT
dc.subjectEngineering (General). Civil engineering (General)
dc.subjectbattery storage
dc.subjectjellyfish optimization
dc.subjectChemistry
dc.subjectTA1-2040
dc.subjectBiology (General)
dc.subjectQD1-999
dc.subjectPV system
dc.subject.sdg7. Clean energy
dc.subject.sdg13. Climate action
dc.titleBattery Charge Control in Solar Photovoltaic Systems Based on Fuzzy Logic and Jellyfish Optimization Algorithm
dc.typeArticle
dspace.entity.typePublication
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