Stand alone photovoltaic system control based on Artificial neural network and fuzzy logic

Abstract

The maximum power point tracking (MPPT) is a necessary component in photovoltaic (PV) system. In this paper, intelligent techniques have been introduced fuzzy logic controller (FLC) and artificial neural network (ANN) are very successful to tracking the maximum power point (MPP). Incremental conductance (IC) is widely used for generate duty cycle in order to MPP searching, but it has a low efficiency in varying radiation and temperature. This paper proposed a hybrid technique based MPPT. We use ANN for select the optimal voltage, FLC for select and generate the optimal duty cycle. The ANN is used to predict the optimal voltage and FLC is used to generate the optimal duty cycle of tracking the MPP. This proposed technique is implemented in Matlab/Simulink software and compared with incremental conductance, covering the overshoot, time response, oscillation.