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Condition monitoring artefacts for detecting winding faults in wind turbine DFIGs

Condition monitoring artefacts for detecting winding faults in wind turbine DFIGs. By. (1) School of Electrical and Electronic Engineering, The University of Manchester. (2) School of Engineering, Durham University . Introduction.

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Condition monitoring artefacts for detecting winding faults in wind turbine DFIGs

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  1. Condition monitoring artefacts for detecting winding faults in wind turbine DFIGs By (1) School of Electrical and Electronic Engineering, The University of Manchester (2) School of Engineering, Durham University

  2. Introduction • Doubly fed induction generator (DFIG) is the most commonly used type of generator in contemporary large variable speed wind turbines • One of the most common induction machine faults are winding faults due to short-circuit or open-circuit or abnormal connection of phase windings • A common fault diagnostic method is the investigation of frequency spectrum content of machine steady state electrical quantities such as current and instantaneous power - non invasive as stator windings are used as search coils.

  3. DFIG modelling for condition monitoring purposes • Based on coupled-circuit approach • A circuit is defined as ‘any series connection of coils’ • Coupling inductances are calculated between circuits • This approach makes it possible to analyze an arbitrarily connected n-phase machine while taking into account higher order field space harmonics

  4. DFIG test rig diagram

  5. Test Rig Description Laboratory test bed (viewed from above)

  6. Test Rig Description DFIG Terminal box Rotor back-to-back converter

  7. Healthy and faulty DFIG winding configurations used in this presentation a) Healthy b) Open-circuit DFIG stator winding configuration

  8. Frequency content of predicted DFIG stator line current for healthy and faulty DFIG operation a) Predicted current spectrum for DFIG operating with healthy windings b) Predicted current spectrum for DFIG operating with faulty stator windings

  9. Frequency content of predicted DFIG total stator instantaneous power for healthy and faulty DFIG operation a) Predicted power spectrum for DFIG operating with healthy windings b) Predicted power spectrum for DFIG operating with faulty stator windings

  10. Predicted and measured DFIG stator line current spectra for DFIG operation with stator open-circuit fault a) Experimental current spectrum b) Predicted current spectrum

  11. Predicted and measured DFIG stator instantaneous power spectra for DFIG operation with stator open-circuit fault a) Experimental power spectrum b) Predicted power spectrum

  12. Conclusions • A DFIG analytical model was developed and a DFIG test rig built for the purpose of this study • Research demonstrates that there are harmonic components in DFIG steady state stator current and total power spectra that are directly related to existence of winding fault. These frequencies are slip dependant. • Simulation data indicate that the power signal spectrum carries more fault specific information when compared to the current signal. Measurement of the power spectrum is however shown to be influenced by high noise levels.

  13. Thank You

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