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An Effective Approach for Rotor Electrical Asymmetry Detection in Wind Turbine DFIGs

Ibrahim, Raed K.; Watson, Simon J.; Djurović, Siniša; Crabtree, Christopher J.

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Authors

Raed K. Ibrahim

Simon J. Watson

Siniša Djurović



Abstract

Determining the magnitude of particular fault signature components (FSCs) generated by wind turbine (WT) faults from current signals has been used as an effective way to detect early abnormalities. However, the WT current signals are time-varying due to the constantly varying generator speed. The WT frequently operates with the generator close to synchronous speed, resulting in FSCs manifestation in the vicinity of the supply frequency and its harmonics, making their detection more challenging. To address this challenge, the detection of rotor electrical asymmetry in WT doubly-fed induction generators (DFIGs) has been investigated using a test-rig under three different driving conditions, and then an effective extended Kalman filter (EKF) based method is proposed to iteratively estimate the FSCs and track their magnitude. The proposed approach has been compared with a continuous wavelet transform (CWT) and an iterative localized discrete Fourier-transform (IDFT). The experimental results demonstrate that the CWT and IDFT algorithms fail to track the FSCs at low load operation near synchronous speed. In contrast, the EKF was more successful in tracking the FSCs magnitude in all operating conditions, unambiguously determining the severity of the faults over time and providing significant gains in both computational efficiency and accuracy of fault diagnosis

Citation

Ibrahim, R. K., Watson, S. J., Djurović, S., & Crabtree, C. J. (2018). An Effective Approach for Rotor Electrical Asymmetry Detection in Wind Turbine DFIGs. IEEE Transactions on Industrial Electronics, 65(11), 8872-8881. https://doi.org/10.1109/tie.2018.2811373

Journal Article Type Article
Acceptance Date Feb 14, 2018
Online Publication Date Mar 19, 2018
Publication Date Nov 1, 2018
Deposit Date Feb 16, 2018
Publicly Available Date Feb 19, 2018
Journal IEEE Transactions on Industrial Electronics
Print ISSN 0278-0046
Electronic ISSN 1557-9948
Publisher Institute of Electrical and Electronics Engineers
Peer Reviewed Peer Reviewed
Volume 65
Issue 11
Pages 8872-8881
DOI https://doi.org/10.1109/tie.2018.2811373

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