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https://doi.org/10.1109/upec.2...
Article . 2019 . Peer-reviewed
License: IEEE Copyright
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Enhanced Fault Diagnosis of DFIG Converter Systems

Authors: Ibem, Chukwuemeka N.; Farrag, Mohamed Emad; Aboushady, Ahmed A.;

Enhanced Fault Diagnosis of DFIG Converter Systems

Abstract

The converter is a crucial part of the doubly fed induction generator (DFIG) wind energy conversion system (WECS). Breakdown of the converter will lead to huge economic loss; this is relating to the downtime of the converter that will shut down the whole turbine-generator system and curtail the energy production. Fault diagnosis is considered a preliminary tool that is used to tackle the possibilities of converter downtime. There are varieties of fault diagnosis techniques and algorithms for different faults types and location. This paper is presenting an enhanced technique based on the possibility of combining the DFIG current-measurements and torque to develop a robust FD technique for DFIG converter systems. The results obtained from the simulation phase is encouraging to merge fault indicators from current and torque to identify the fault location and nature at either side of the DFIG converters.

Country
United Kingdom
Related Organizations
Keywords

Risk, Renewable energy, Computer Networks and Communications, Energy Engineering and Power Technology, fault diagnosis, renewable energy, Reliability and Quality, DFIG, Converter, SDG 7 - Affordable and Clean Energy, Safety, Electrical and Electronic Engineering, WECS, Fault diagnosis

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average