International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering · 2020 · 37 citations · 16 references
EngineeringElectrical EngineeringPower ElectronicsRenewable Energy IntegrationRenewable Energy SystemsPower Electronics For Renewable EnergyRenewable EnergyRenewable Energy Power ConversionSolar CellsSolar Energy SystemsSolar Photovoltaic SystemsFuzzy Control SystemsMaximum Power Point TrackingMaximum Power Point Tracking AlgorithmsPhotovoltaic InvertersPhotovoltaic System SimulationPhotovoltaic SystemsSimulink ModelsSolar Photovoltaic Power Systems
In this paper, a maximum power point tracking (MPPT) algorithm for photovoltaic (PV) systems is achieved based on fuzzy logic controller (FLC) and compared with an anfis (neuro-fuzzy) based mppt controller, this method allies the abilities of artificial neural networks in learning and the power of fuzzy logic to handle imprecise data. Both methods are simulated using matlab/ simulink. The choise of power variation and the current variation as inputs of the proposed controllersreducesthe calculation. Both FLC and ANFIS based MPPTare tested in terms of steady state performance and the pv system dynamic.
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