Intelligent Control Of A Pv Solar System Connected To The Grid In The Case Of Unbalanced Grid Faults
Résumé: This study deals with the development and optimization of control strategies and energy extraction from a photovoltaic (PV) panel using different control techniques. The output power of the photovoltaic generator (GPV) is supplied by various climatic factors such as irradiation and temperature. Two MPPT techniques have been treated, namely the P&O MPPT and the fuzzy MPPT. The study was concerned with the case of a PV connected to the network. Two operation modes have been implemented: isolated mode with battery energy storage and grid-connected mode. In this case, an intelligent controller based on ANN artificial neural networks has been proposed to act during the presence of the fault in order to ensure the transition to isolated mode. The simulation tests were developed under the Matlab Simulink environment. Simulation results are encouraged. Fuzzy MPPT gave the best results and ANN controller operation was successfully deployed
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