MATLAB Implementation of Neural Network Based MPPT for Solar PV System
In this work, using an artificial neural network (ANN) for tracking of maximum power point is discussed. Error backpropagation method is used in order to train the neural network. The neural network has advantages of fast and precise tracking of maximum PowerPoint. In this method, the neural network is used to specify the reference voltage of the maximum power point under different atmospheric conditions. By properly controlling of dc-dc boost converter, tracking of maximum power point is feasible. To verify theory analysis, the simulation result is obtained by using MATLAB/SIMULINK.