A Generalized WECS System with Single Phase Multilevel Inverter having MPPT control with Neural Network

Abstract

This paper describes the efficient MPPT tracking for variable wind speed using an artificial neural network. The neural network has been trained using the backpropagation algorithm and Levenberg-Marquardt (LM) based optimization technique to achieve maximum power point. A multilevel inverter having 10 switches has been used to reduce voltage stress, THD and switching losses resulting in improvement in performance and reduction in the driver circuit for the switches. The proposed system has been validated and simulated in SIMULINK/MATLAB.