Contribution to the Fault Diagnosis of a Doubly Fed Induction Generator for a Closed-loop Controlled Wind Turbine System Associated with a Two-level Energy Storage System

Abstract

—In this article, a contribution to the fault diagnosis of a doubly fed induction generator for a closed-loop controlled wind turbine system associated with a two-level energy storage system using an on-line fault diagnostic technique is proposed. This technique is proposed to detect the rotor fault in the doubly fed induction generator under non-stationary conditions based on the spectral analysis of stator currents of the doubly fed induction generator by an adaptive fast Fourier transform algorithm. Furthermore, to prevent system deterioration, a fractional-order controller with a simple design method is used for the control of the whole wind turbine system. The fractional-order controller ensures that the system is stable in both healthy and faulty conditions. Additionally, to improve the production capacity under wind speed fluctuations and grid demand changes, a two-level energy storage system consisting of a supercapacitor bank and lead-acid batteries is proposed. The obtained simulation results show that the objectives of the fault diagnosis procedure and control strategy are reached.

Keywords:

• wind energy conversion systems
• adaptive Fast Fourier transform
• doubly fed induction generator
• fault detection and diagnosis
• fractional-order control
• two-level energy storage system

Additional information

Notes on contributors

Issam Attoui

Issam Attoui was born in Annaba, Algeria, in 1985. He received his engineer degree and magister degree in electrical engineering from Badji Mokhtar-Annaba University, Algeria, in 2007 and 2009, respectively. In 2011, he joined the Welding and NDT Research Centre/Industrial Technologies Research Unit (URTI/CSC) in Annaba, Algeria. He is currently a Ph.D. student in Department of Electrical Engineering, Badji Mokhtar-Annaba University, Annaba, Algeria. His research interests include system modeling and control, process fault diagnosis, signal processing, renewable energy, vibration monitoring, fractional-order control, and neural networks.

Amar Omeiri

Amar Omeiri was born in Skikda, Algeria, in 1958. He received his engineer degree from Annaba University in 1983; his master degree of science by research from Strathclyde University, United Kingdom, in 1986; and his Ph.D. in 2007 from Annaba University, Algeria. Since 1987, he has been a lecturer at Annaba University in the Electrical Engineering Department. His current research field includes active power filters, renewable energies, power electronics, and AC and DC drives.