This paper proposes a robust fault detection and isolation (FDI) technique for the power electronic converter (PEC) of doubly-fed induction generator (DFIG) wind turbines (WTs), and in particular for open-circuit faults herein. It combines fault indicators based on the processing of the Clarke transformation of the converter currents and a statistical change detection algorithm, namely a cumulative sum (CUSUM) algorithm that detects significant changes in the variance of the reactive power. This allows for a reduction of the false alarm rate compared to an approach relying exclusively on the current analysis. The proposed FDI technique is validated by means of both simulation and experimental results.
|Title of host publication||Robust Power-Electronic-Converter Fault Detection and Isolation Technique for DFIG Wind Turbines|
|Number of pages||12|
|Publication status||Published - 19 Jun 2018|
|Event||TORQUE 2018: The Science of Making Torque from Wind - Milan, Italy|
Duration: 20 Jun 2018 → 22 Jun 2018
|Period||20/06/18 → 22/06/18|