Improving Efficiency of Photovoltaic System by Using Neural Network MPPT and Predictive Control of Converter

Abstract

This paper proposes a new method to extract maximum energy from Photovoltaic (PV) systems. The artificial neural network (ANN) is used to track the maximum power based on the irradiance level and temperature. By using this algorithm the current in which the PV operates at its maximum power is extracted. In addition to ANN, a predictive controller is used to maximize the efficiency of the boost converter. The simulation results verify the suitable performance of the proposed method and this method maximizes the photovoltaic system energy extraction.