Journal of Advanced Research in Science and Technology
Volume 2, Numéro 1, Pages 173-181
2015-01-01

Artificial Neural Network-based Robust Tracking Control For Doubly Fed Induction Generator Used In Wind Energy Conversion Systems



Authors : Youcef Djeriri . Abdelkader Meroufel . Mohamed Allam .

Abstract

This paper deals with a variable speed device to produce electrical energy on the power network, based on a doubly fed induction generator (DFIG). This machine is intended to equip nacelles of wind turbines. First, a mathematical model of the machine written in an appropriate d-q reference frame is established to investigate simulations. In order to control the power flowing between the stator of the DFIG and the power network, a control law is synthesized by using two types of controllers: Proportional-Integral (PI) controller and Neural Networks (NN) based controller. Their respective performances are compared by simulation in terms of power reference tracking and robustness against machine parameters variations

Keywords

Wind Energy, DFIG, PI Controller, Artificial Neural Networks

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