DFIG-based wind turbine system using three-level neural space vector modulation technique

Abstract

This article presents an improved direct vector command (DVC) based on three-level space vector modulation (SVM). The essentiel disadvantage that is usually associated with DVC is the high harmonic current and power ripples. To overcome this disadvantages a SVM technique is proposed based on neural networks technique (NSVM). The neural proposed regulator is shown to be able to reducing the stator reactive and stator active powers ripples and to improve performance DVC command. The validity of the proposed schemes command is confirmed by the simulation results.