Application of Artificial Neural Networks to Control the Output Voltage of Wind Energy System

Abstract

This paper presents the use of Artificial Neural Networks to control the output voltage of Self-Excited Induction Generator (SEIG) driven by wind turbine and supplies static load. The effects of rotor speed, load impedance and the excitation capacitance variations on the terminal voltage of the SEIG are discussed. An adaptive controller scheme based on Artificial Neural Networks (ANNs) is proposed to predict the suitable value of regulator capacitance for maintaining a constant output voltage of the SEIG. A programmable high speed controller (PHSC) is used to switch ON the required capacitor for providing the predicted capacitance. A Matlab simulation results are presented to demonstrate the terminal voltage of the SEIG with the proposed control scheme. The results proved that the proposed scheme is able to keep the terminal voltage at constant value in spite of the wind speed and load variations.