Detection of stator and rotor faults in a DFIG based on the stator reactive power analysis

This paper presents a new online diagnostic approach for the detection of stator and rotor inter-turn short circuit (ITSC) faults in doubly-fed induction generators (DFIGs) for wind power applications. The proposed technique is based on the Fast Fourier Transform (FFT) of the instantaneous stator reactive power. It is shown that stator and rotor ITSC faults in the DFIG can be reliably detected by the identification of spectral components at twice the supply frequency and at two times the slip frequency of the generator, respectively. Experimental results are presented, demonstrating the effectiveness of the proposed diagnostic technique for different generator operating conditions, namely for different values of the active and reactive power injected into the grid, different values of the wind speed, both when the generator operates in subsynchronous and supersynchronous mode. The diagnostic technique here reported was adopted for a remote, online and distributed wind farm condition monitoring system, whose architecture is briefly described at the end of the paper.

[1]  F. W. Fuchs,et al.  Rotor turn-to-turn fault detection in doubly-fed induction machines by means of state space modeling and Luenberger observer , 2009, 2009 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives.

[2]  Wang Dong,et al.  Study of rotor winding inter-turn short circuit fault in doubly fed induction generator based on current signal spectrum analysis , 2013, 2013 International Conference on Electrical Machines and Systems (ICEMS).

[3]  Mohsen Bandar Abadi,et al.  Inter-turn fault detection in doubly-fed induction generators for wind turbine applications using the stator reactive power analysis , 2014 .

[4]  Peter Tavner,et al.  Condition monitoring of a wind turbine DFIG by current or power analysis , 2010 .

[5]  Mohamed Benbouzid,et al.  A Brief Status on Condition Monitoring and Fault Diagnosis in Wind Energy Conversion Systems , 2009 .

[6]  W. Hofmann,et al.  Monitoring of the transmission properties of the rotor slip ring system of doubly-fed induction generators , 2005, IEEE International Conference on Electric Machines and Drives, 2005..

[7]  H. Douglas,et al.  The detection of interturn stator faults in doubly-fed induction generators , 2005, Fourtieth IAS Annual Meeting. Conference Record of the 2005 Industry Applications Conference, 2005..

[8]  Peter Tavner,et al.  CONDITION MONITORING ARTEFACTS FOR DETECTING WINDING FAULTS IN WIND TURBINE DFIGs , 2009 .

[9]  Ion Boldea,et al.  Condition monitoring of wind generators , 2003, 38th IAS Annual Meeting on Conference Record of the Industry Applications Conference, 2003..

[10]  Sang Bin Lee,et al.  Detection and Classification of Stator Turn Faults and High Resistance Electrical Connections for Induction Machines , 2007, 2007 IEEE Industry Applications Annual Meeting.

[11]  Gérard-André Capolino,et al.  Advanced Diagnosis of Electrical Faults in Wound-Rotor Induction Machines , 2013, IEEE Transactions on Industrial Electronics.

[12]  Wenxian Yang,et al.  Condition Monitoring of the Power Output of Wind Turbine Generators Using Wavelets , 2010, IEEE Transactions on Energy Conversion.

[13]  A.J. Marques Cardoso,et al.  Stator winding fault diagnosis in three-phase synchronous and asynchronous motors, by the extended Park's vector approach , 2000, Conference Record of the 2000 IEEE Industry Applications Conference. Thirty-Fifth IAS Annual Meeting and World Conference on Industrial Applications of Electrical Energy (Cat. No.00CH37129).

[14]  Luis Marroyo,et al.  Doubly Fed Induction Machine : Modeling and Control for Wind Energy Generation , 2011 .

[15]  D. Casadei,et al.  Doubly Fed Induction Machines Diagnosis Based on Signature Analysis of Rotor Modulating Signals , 2008, IEEE Transactions on Industry Applications.

[16]  Hong Wang,et al.  Modelling and Fault Diagnosis of Stator Inter-Turn Short Circuit in Doubly Fed Induction Generators , 2011 .

[17]  A.J.M. Cardoso,et al.  Multiple reference frames theory: a new method for the diagnosis of stator faults in three-phase induction motors , 2005, IEEE Transactions on Energy Conversion.

[18]  S. Nandi,et al.  Stator Inter-Turn Fault Detection of Doubly-Fed Induction Generators Using Rotor Current and Search Coil Voltage Signature Analysis , 2007, 2007 IEEE Industry Applications Annual Meeting.

[19]  Leila Parsa,et al.  Recent Advances in Modeling and Online Detection of Stator Interturn Faults in Electrical Motors , 2011, IEEE Transactions on Industrial Electronics.

[20]  Luis Romeral,et al.  Fault Detection in Induction Machines Using Power Spectral Density in Wavelet Decomposition , 2008, IEEE Transactions on Industrial Electronics.

[21]  Gérard-André Capolino,et al.  Wound-Rotor Induction Generator Inter-Turn Short-Circuits Diagnosis Using a New Digital Neural Network , 2013, IEEE Transactions on Industrial Electronics.

[22]  T.G. Habetler,et al.  A Survey of Methods for Detection of Stator-Related Faults in Induction Machines , 2007, IEEE Transactions on Industry Applications.

[23]  A.J.M. Cardoso,et al.  Diagnosis of rotor faults in direct and indirect FOC induction motor drives , 2007, 2007 European Conference on Power Electronics and Applications.

[24]  Johan Gyselinck,et al.  CUSUM based fault detection of stator winding short circuits in doubly-fed induction generator based wind energy conversion systems , 2010 .

[25]  William Chen,et al.  Design challenges of wind turbine generators , 2009, 2009 IEEE Electrical Insulation Conference.