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An effective approach for rotor electrical asymmetry detection in wind turbine DFIGs

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journal contribution
posted on 19.02.2018, 15:13 by Raed Ibrahim, Simon J. Watson, Sinisa Djurovic, Christopher J. Crabtree
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 manifesting themselves 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), indicative of common winding, brush gear or high resistance connection faults, 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

Funding

This work was supported in part by the SUPERGEN Wind Hub under Grant EP/L014106/1. The work of R. K. Ibrahim was also supported by the Higher Committee for Education Development (HCED) in Iraq.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

IEEE Transactions on Industrial Electronics

Citation

IBRAHIM, R.K. ... et al, 2018. An effective approach for rotor electrical asymmetry detection in wind turbine DFIGs. IEEE Transactions on Industrial Electronics, 65 (11), pp.8872-8881.

Publisher

IEEE

Version

VoR (Version of Record)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution 3.0 Unported (CC BY 3.0) licence. Full details of this licence are available at: http://creativecommons.org/licenses/by/3.0/

Acceptance date

13/02/2018

Publication date

2018

Notes

This work is licensed under a Creative Commons Attribution 3.0 License. For more information, see http://creativecommons.org/licenses/by/3.0/.

ISSN

0278-0046

Language

en