This paper focuses on the development of a controller for grid connected photovoltaic energy conversion system. Control design of a single phase inverter interfacing a photovoltaic generator and an electrical grid is performed, based on Artificial Neural Networks. The developed controller is compared with a Proportional Integral (PI) controller through computer simulation. The obtained results show that the neural controller has faster response and lower total harmonic distortion (THD) without overshoots.
Key words: Photovoltaic generator, inverter, maximum power point tracking (MPPT), neural networks.
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