M.N. Zaggout
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 |
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Copyright Statement
Final published version
Published Journal Article (Advance online version)
(945 Kb)
PDF
Publisher Licence URL
http://creativecommons.org/licenses/by/3.0/
Copyright Statement
Advance online version This is an open access article published by the IET under the Creative Commons Attribution License
(http://creativecommons.org/licenses/by/3.0/)
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