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

Research output: Unpublished contribution to conferencePoster

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Abstract

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.
Original languageEnglish
Pages1-1
Number of pages1
Publication statusPublished - 4 Dec 2017
EventBERA PhD Day on Wind Energy - Universiteit Gent, Gent, Belgium
Duration: 4 Dec 2017 → …

Seminar

SeminarBERA PhD Day on Wind Energy
CountryBelgium
CityGent
Period4/12/17 → …

Keywords

  • condition monitoring
  • DFIG
  • Fault Detection
  • Fault isolation

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