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On Impedance Spectroscopy Contribution to Failure Diagnosis in Wind Turbine Generators

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Wind turbines proliferation in industrial and residential applications is facing the problem of maintenance and fault diagnosis. Periodic maintenances are necessary to ensure an acceptable life span. The aim of this paper is therefore to assess impedance spectroscopy contribution to the failure diagnosis of doubly-fed induction generator-based wind turbines. Indeed, impedance spectroscopy is already used for the diagnosis of batteries, fuel cells, and electrochemical systems. For evaluation purposes, simulations are carried-out on a 9-MW wind farm consisting of six 1.5-MW wind turbines connected to a 25-kV distribution system that exports power to a 120-kV grid. In this context, two common failures are investigated: phase grounding and phase short-circuits. In addition, generator stator resistance variation is also considered for performance evaluation of impedance spectroscopy
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Y. Amirat, M. Benbouzid, E. Al-Ahmar, B. Bensaker, and S. Turri, “A brief status on condition monitoring and fault diagnosis in wind energy conversion systems,” Renewable and Sustainable Energy Reviews, vol. 13, no. 9, pp. 2629–2636, 2009.

D.G. Giaourakis, A. Safacas and S. Tsotoulidis, Fault diagnostic method for open circuit of IGBT converter in doubly-fed induction generator wind energy conversion system, (2013) International Journal on Energy Conversion (IRECON), 1 (1), pp. 91-98.

Amirat, Y., Choqueuse, V., Benbouzid, M., Turri, S., Hilbert transform-based bearing failure detection in DFIG-based wind turbines, (2011) International Review of Electrical Engineering (IREE), 6 (3), pp. 1249-1256.

Y. Amirat, V. Choqueuse and M.E.H. Benbouzid, “EEMD-based wind turbine bearing failure detection using the generator stator current homopolar component,” Mechanical Systems and Signal Processing, vol. 39, n°3, 2013.

E.H. El Bouchikhi, V. Choqueuse, M.E.H. Benbouzid and J.F Charpentier, “Induction generator-based wind and marines turbines failure diagnosis: Non-stationary signal processing techniques comparative study,” European Journal of Electrical Engineering, vol. 16, n°3, 2013.

K. Rothenhagen and F.W. Fuchs, “Current sensor fault detection, isolation, and reconfiguration for doubly fed induction generators,” IEEE Trans. Industrial Electronics, vol. 56, n°10, pp. 4239-4245, October 2009.

Al-Ahmar, E., Benbouzid, M.E.H., Turri, S., Wind energy conversion systems fault diagnosis using wavelet analysis, (2008) International Review of Electrical Engineering (IREE), 3 (4), pp. 646-652.

B. Lu, Y. Li, X. Wu and Z. Yang, “A review of recent advances in wind turbine condition monitoring and fault diagnosis”, in Proceedings of the 2009 IEEE PEMWA, Lincoln (USA), pp. 1-7, June 2009.

W. Yang, P.J. Tavner, C.J. Crabtree and M. Wilkinson, “Cost-effective condition monitoring for wind turbines,” IEEE Trans. Industrial Electronics, vol. 57, n°1, pp. 263-271, January 2010.

M. Becherif, A. Henni, M.E.H. Benbouzid and M. Wack, “Impedance spectroscopy failure diagnosis of a DFIG-based wind turbine,” in Proceedings of the 2012 IEEE IECON, Montreal (Canada), pp. 4310-4315, October 2012.

S.M. Rezaei Niya and M. Hoorfar, “Study of proton exchange membrane fuel cells using electrochemical impedance spectroscopy technique – A review,” Journal of Power Sources, vol. 240, pp. 281-293, October 2013.

T.C. Kaypmaz and R.N. Tuncay, “An advanced cell model for diagnosing faults in operation of Li-ion Polymer batteries,” in Proceedings of the 2011 IEEE VPPC, Chicago (USA), pp. 1-5, September 2011.

S. Wasterlain, D. Candusso, F. Harel, X. François and D. Hissel, “Diagnosis of a fuel cell stack using electrochemical impedance spectroscopy and Bayesian networks,” in Proceedings of the 2010 IEEE VPPC, Lille (France), pp. 1-6, September 2010.

X. Yuan, H. Wang, J.C. Sun and J. Zhang, “AC impedance technique in PEM fuel cell diagnosis – A review,” International Journal of Hydrogen Energy, vol. 32, n°17, pp. 4365-4380, December 2007.

M. Tsili and S. Papathanassiou, “A review of grid code technical requirements for wind farms,” IET Renewable Power Generation, vol. 3, n°3, pp. 308-332, September 2009.

E. Barsoukov and J.R. Macdonald, Impedance Spectroscopy: Theory, Experiment, and Application. Wiley Interscience Publications, 2005.

M.J. Given, R.A. Fouracre, S.J. MacGregor, M. Judd and H.M. Banford, “Diagnostic dielectric spectroscopy methods applied to water-treed cable,” IEEE Trans. Dielectrics and Electrical Insulation, vol. 8, n°6, pp. 917-920, December 2001.


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