Closed loop bandwidth impact on doubly fed induction machine asymmetries detection based on rotor voltage signature analysis

This paper investigates the impact of the control system bandwidth on the detection of incipient faults in doubly fed induction generators used in wind turbines. In this application, the rotor is supplied by a static converter for the control of active and reactive power flows from the generator to the electrical grid. The Impact of the closed loop control system cannot be neglected when the detection of asymmetries in the machine are based on the signature analysis of electrical variables. An investigation of the behavior of faulty spectral components for different bandwidths of closed loop regulators is therefore necessary in order to evaluate the effectiveness of diagnostic indexes based on those variables. Simulation and experimental results are here presented to show the limits of two different approaches for fault detection. The first one based on current signature analysis and the second one based on rotor voltage signature analysis.

[1]  F. Filippetti,et al.  Closed loop control impact on the diagnosis of induction motors faults , 1999 .

[2]  D. Casadei,et al.  Diagnostic Technique based on Rotor Modulating Signals Signature Analysis for Doubly Fed Induction Machines in Wind Generator Systems , 2006, Conference Record of the 2006 IEEE Industry Applications Conference Forty-First IAS Annual Meeting.

[3]  E. Ritchie,et al.  Model of stator inter-turn short circuit fault in doubly-fed induction generators for wind turbine , 2004, 2004 IEEE 35th Annual Power Electronics Specialists Conference (IEEE Cat. No.04CH37551).

[4]  G. Tapia,et al.  Modeling and control of a wind turbine driven doubly fed induction generator , 2003 .

[5]  J. Penman,et al.  Detection and location of interturn short circuits in the stator windings of operating motors , 1994 .

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

[7]  Alberto Bellini,et al.  Quantitative Evaluation of Induction Motor Broken Bars By Means of Electric Signals Signatures , 2001 .

[8]  C. Kral,et al.  The Vienna induction machine monitoring method; on the impact of the field oriented control structure on real operational behavior of a faulty machine , 1998, IECON '98. Proceedings of the 24th Annual Conference of the IEEE Industrial Electronics Society (Cat. No.98CH36200).

[9]  Giovanni Franceschini,et al.  On-field experience with online diagnosis of large induction motors cage failures using MCSA , 2002 .

[10]  F. Filippetti,et al.  Quantitative evaluation of induction motor broken bars by means of electrical signature analysis , 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).

[11]  J.R. Saenz,et al.  On-line stator winding fault diagnosis in induction generators for renewable generation , 2004, Proceedings of the 12th IEEE Mediterranean Electrotechnical Conference (IEEE Cat. No.04CH37521).

[12]  R. Datta,et al.  Variable-Speed Wind Power Generation Using a Doubly Fed Wound Rotor Induction Machine: A Comparison with Alternative Schemes , 2002, IEEE Power Engineering Review.

[13]  F. Filippetti,et al.  AI techniques in induction machines diagnosis including the speed ripple effect , 1996 .

[14]  D. Casadei,et al.  Flux signature analysis: An alternative method for the fault diagnosis of induction machines , 2005, 2005 IEEE Russia Power Tech.

[15]  V. T. Ranganathan,et al.  Variable-Speed Wind Power Generation Using a Doubly Fed Wound Rotor Induction Machine: A Comparison with Alternative Schemes , 2002 .

[16]  Longya Xu,et al.  A flexible active and reactive power control strategy for a variable speed constant frequency generating system , 1993, Proceedings of IEEE Power Electronics Specialist Conference - PESC '93.

[17]  D. Casadei,et al.  Double-fed three-phase induction machine abc model for simulation and control purposes , 2005, 31st Annual Conference of IEEE Industrial Electronics Society, 2005. IECON 2005..