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A Novel MPPT Algorithm based on Aquila Optimizer under PSC and Implementation using Raspberry

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dc.contributor.authorKarmouni, Hicham
dc.contributor.authorChouiekh, Mohamed
dc.contributor.authorMotahhir, Saad
dc.contributor.authorDagal, Idriss
dc.contributor.authorOufettoul, Hicham
dc.contributor.authorQjidaa, Hassan
dc.contributor.authorSayyouri, Mhamed
dc.date.accessioned2026-06-27T14:46:45Z
dc.date.issued2022
dc.description.abstractIn this paper, we propose an Aquila Optimizer (AO) algorithm specific to photovoltaic (PV) energy storage conversion system for the global maximum power point tracking (GMPPT) of a battery in partial shade conditions (PSC). Several simulation experiments were run in the Simulink 2021a environment to evaluate the performance of the suggested MPPT control. The simulation results show the highest accuracy, speed and stability of the suggested AO algorithm under PSC. After being integrated on a Raspberry Pi 4 Model B embedded board, the embedded software produced underwent a validation and verification procedure.en
dc.description.urihttps://doi.org/10.1109/icrera55966.2022.9922834
dc.identifier.doi10.1109/icrera55966.2022.9922834
dc.identifier.endpage451
dc.identifier.isbn978-1-6654-7141-1; 978-1-6654-7140-4
dc.identifier.issn2377-6897
dc.identifier.startpage446
dc.identifier.urihttps://hdl.handle.net/20.500.14981/64659
dc.identifier.wos001450110300071
dc.language.isoeng
dc.publisherIEEE
dc.relation.conference11th International Conference on Renewable Energy Research and Applications
dc.relation.ispartof2022 11TH INTERNATIONAL CONFERENCE ON RENEWABLE ENERGY RESEARCH AND APPLICATION, ICRERA
dc.subjectPV
dc.subjectBattery
dc.subjectMPPT
dc.subjectAO
dc.subjectRaspberry Pi
dc.subjectScience & Technology - Other Topics
dc.subjectEnergy & Fuels
dc.subjectEngineering
dc.titleA Novel MPPT Algorithm based on Aquila Optimizer under PSC and Implementation using Raspberry
dc.typeProceedings Paper
dspace.entity.typePublication
local.import.sourceWOS

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