Fuzzy Logic Maximum Power Point Tracking Control for A Solar PV Module

dc.contributor.authorLazizi, Aldjia
dc.contributor.authorKesraoui, Mohamed
dc.contributor.authorChaib, Ahmed
dc.date.accessioned2020-11-26T08:34:36Z
dc.date.available2020-11-26T08:34:36Z
dc.date.issued2020
dc.description.abstractIn this paper, the fuzzy logic control for Maximum Power Point Tracking (MPPT) of a solar photovoltaic is presented. A photovoltaic system including a solar module, a DC/DC boost converter, a fuzzy MPP Tracker and a resistive load is modeled and simulated for various atmospheric conditions. The P-V characteristics are first obtained for various values of solar irradiation and temperature. Then the increased efficiency of the photovoltaic system using MPPT is computed and plotted. The fuzzy control method is compared with the Perturb/observe (P&O) method in one hand and with an Improved P&O technique using Artificial Neural Network (ANN) in the other hand.en_US
dc.identifier.urihttps://dspace.univ-boumerdes.dz/handle/123456789/5844
dc.language.isoenen_US
dc.subjectPhotovoltaic moduleen_US
dc.subjectDC/DC boost converteren_US
dc.subjectMPPTen_US
dc.subjectfuzzy logicen_US
dc.subjectPerturb and observe (P&O)en_US
dc.titleFuzzy Logic Maximum Power Point Tracking Control for A Solar PV Moduleen_US
dc.typeArticleen_US

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