Maximum Wind Energy Extraction by Using Neural Network Estimation and Predictive Control of Boost Converter

Mahdi Heidari (University of Zabol)

IAES International Journal of Robotics and Automation (IJRA)
Vol 7, No 1: March 2018

This paper proposes a new method to extract maximum energy from wind turbine systems. The artificial neural network (ANN) is used to estimate the wind speed based on the rotor speed and the output power. In addition to ANN, a predictive controller is used to maximize the efficiency of the boost converter. The method has been developed and analyzed by utilizing a turbine directly driven permanent-magnet synchronous generator (PMSG). The simulation results verify the performance of the proposed method. Results show that this method maximizes wind energy extraction with more accuracy and fastness.