Development of a multilayer perceptron (MLP) based neural network controller for grid connected photovoltaic system

摘要

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.