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Photovoltaic Maximum Power Point Tracking Based on ANN Control

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This paper presents an intelligent approach for improved the PV control performances. A PV system topology incorporating maximum power point tracking controller (MPPT) is studied and applied in this work. In order to perform this goal a special interest was focused on the well-known P&O algorithm. A comparative study between the P&O algorithm and the Artificial Neural Networks (ANN) controller is performed. This paper presents a detailed study of the MPPT controller to insure a high PV system performance which can be selected for practical implementation issue. A simulation work dealing with MPPT controller, a DC/DC Boost converter feeding resistive load is achieved. Significant extracted results are given to prove the validity of the proposed overall PV system control scheme.
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