Robust Power Electronic Converter Fault Detection and Isolation Technique for DFIG Wind Turbines

Onderzoeksoutput: Poster

10 Downloads (Pure)

Samenvatting

This work proposes a robust fault detection and isolation (FDI) technique for power electronic converters (PECs) operating doubly fed induction generators in wind turbines. More precisely, a diagnosis system able to detect and isolate open-switch faults is developed. It combines fault indicators based on 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 stator reactive power. This allows a reduction of the false alarm rate compared to an approach relying exclusively on the current analysis. The performance of the FDI technique is verified by both simulation and
experimental studies.
Originele taal-2English
Pagina's1-1
Aantal pagina's1
StatusPublished - 4 dec 2017
EvenementBERA PhD Day on Wind Energy - Universiteit Gent, Gent, Belgium
Duur: 4 dec 2017 → …

Seminar

SeminarBERA PhD Day on Wind Energy
LandBelgium
StadGent
Periode4/12/17 → …

Vingerafdruk

Duik in de onderzoeksthema's van 'Robust Power Electronic Converter Fault Detection and Isolation Technique for DFIG Wind Turbines'. Samen vormen ze een unieke vingerafdruk.

Citeer dit