Detection of Rotor Electrical Asymmetry in Wind Turbine Doubly-Fed Induction Generators

Zaggout, M.N.; Tavner, P.J.; Crabtree, C.J.; Ran, L.

Abstract

This study presents a new technique for detecting rotor electrical faults in wind turbine doubly-fed induction generators (DFIGs), controlled by a stator field-oriented vector control scheme. This is a novel method aimed at detecting and identifying rotor electrical asymmetry faults from within the rotor-side inverter control loop, using the error signal, to provide a future method of generator condition monitoring with enhanced detection sensitivity. Simulation and experimental measurements of the proposed signals were carried out under steady-state operation for both healthy and faulty generator conditions. Stator current and power were also investigated for rotor electrical asymmetry detection and comparison made with rotor-side inverter control signals. An investigation was then performed to define the sensitivity of the proposed monitoring signals to fault severity changes and a comparison made with previous current, power and vibration signal methods. The results confirm that a simple spectrum analysis of the proposed control loop signals gives effective and sensitive DFIG rotor electrical asymmetry detection.

Citation

Zaggout, M., Tavner, P., Crabtree, C., & Ran, L. (2014). Detection of Rotor Electrical Asymmetry in Wind Turbine Doubly-Fed Induction Generators. IET Renewable Power Generation, 8(8), 878-886. https://doi.org/10.1049/iet-rpg.2013.0324

• Journal Article Type: Article
• Acceptance Date: Feb 13, 2014
• Online Publication Date: Jun 30, 2014
• Publication Date: Nov 1, 2014
• Deposit Date: Feb 25, 2014
• Publicly Available Date: Jul 14, 2014
• Journal: IET Renewable Power Generation
• Print ISSN: 1752-1416
• Electronic ISSN: 1752-1424
• Publisher: Institution of Engineering and Technology (IET)
• Peer Reviewed: Peer Reviewed
• Volume: 8
• Issue: 8
• Pages: 878-886
• DOI: https://doi.org/10.1049/iet-rpg.2013.0324
• Keywords: Stators, Spectral analysis, Rotors, Wind turbines, Machine vector control, Fault diagnosis, Condition monitoring, Invertors, Asynchronous generators.
• Public URL: https://durham-repository.worktribe.com/output/1437812