ANN - Based Optimal Power Point Tracking for an Independent Solar Power System

The goal of this work is to use an artificial neural network (ANN) to track the maximum power (MPP) of a stand-alone photovoltaic (PV) system. A resistive load is connected to a Boost-type DC-DC converter and a photovoltaic system. ANN s monitor the MPPs, considering variations in insolation and temperature of the PV arrays.ANNs monitor the MPPs, considering variations in insolation and temperature of the PV arrays.ANNs monitor the MPPs, considering variations in insolation and temperature of the PV arrays.ANN's monitor the MPPs,considering variations in insolation and temperatureof the PV arrays. A 2-10-1 neuron structure artificial neural network (ANN) is used in the lab. It was trained using test data from the WAAREE50 photovoltaic panel. 25 percent of the data are used for validation and 75 percent for training. The control voltage, which is the roots' output, is likened to a high-frequency saw end wave. The scheme's experimental and theoretical outcomes are covered in this study.