Stator Electrical Fault Detection in DFIGs using Wide-band Analysis of the Embedded Signals from the Controllers

Nur Sarma, Paul Michael Tuohy, Sinisa Djurovic
2020 IEEE transactions on energy conversion  
This article presents a novel study of stator electrical faults detection using the wide-band spectral signatures in the controller signals of doubly fed induction generators (DFIGs). The possible wide-band spectral content of the controller signals are first defined with a set of analytical equations in order to characterize the wide-band spectral signatures and their correlation to operating conditions including stator electrical faults. A DFIG harmonic model and laboratory test-rig are used
more » ... test-rig are used to validate the derived equations. The calculated, simulated and experimental results are in good agreement. Furthermore, it is shown that the wide-band stator electrical fault related spectral signatures carry considerable diagnostic potential for recognition of stator electrical faults, and therefore, can potentially be used to advance controller embedded fault detection techniques.
doi:10.1109/tec.2020.3017443 fatcat:qpitcwc5hrd5fhjekywu7oaejm