NDLI: Fault isolation based in Structural Analysis and EWMA of the set DFIG/Back-to-Back converter of a Wind Energy Conversion System

Content Provider	IEEE Xplore Digital Library
Author	Mina, J. Perez, R.
Copyright Year	2013
Description	Author affiliation: Nat. Center of Res. & Technol. Dev. (CENIDET), Cuernavaca, Mexico (Mina, J.; Perez, R.)
Abstract	This paper proposes a fault isolation system for the set Double Feed Induction Generator (DFIG)/Back-to-Back converter of an off-grid Wind Energy Conversion System (WECS). An a priori task is the fault diagnosability analysis of the system by means of Structural Analysis (SA), from which the redundant information is extracted - analytical redundant relations (ARR's). The residual generators for the isolation system make use of the ARR's and the explicit analytical equations of the system. Given that the system is based on a power electronic converter, the input signals to the residual generators are switched signals, which yield a bad performance of the ARR's. In order to enhance the performance and sensitivity of residuals under faulty conditions, an exponentially weighted moving average (EWMA) strategy is used on the raw residuals obtained from the ARR's. 26 faults are considered in the diagnosability analysis same which are tested on a WECS simulator created on Simulink/MatLab.
Starting Page	75
Ending Page	80
File Size	1176311
Page Count	6
File Format	PDF
e-ISBN	9781479914616
DOI	10.1109/ICEEE.2013.6676032
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-09-30
Publisher Place	Mexico
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Double Feed Induction Generator (DFIG) Fault Isolation Structural Analysis EWMA Back-to-Back Converter
Content Type	Text
Resource Type	Article

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