Enhanced fault diagnosis of DFIG converter systems

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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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.
Original languageEnglish
Title of host publication2019 54th International Universities Power Engineering Conference (UPEC)
PublisherIEEE
Number of pages6
ISBN (Electronic)9781728133492, 9781728133485
ISBN (Print)9781728133508
DOIs
Publication statusPublished - 7 Nov 2019

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Asynchronous generators
Failure analysis
Torque
Electric fault location
Turbogenerators
Electric current measurement
Energy conversion
Wind power
Economics

Keywords

  • Converter
  • DFIG
  • fault diagnosis
  • renewable energy
  • WECS

Cite this

Ibem, C. N., Farrag, M. E., & Aboushady, A. A. (2019). Enhanced fault diagnosis of DFIG converter systems. In 2019 54th International Universities Power Engineering Conference (UPEC) IEEE. https://doi.org/10.1109/UPEC.2019.8893567
Ibem, Chukwuemeka N. ; Farrag, Mohamed Emad ; Aboushady, Ahmed A. / Enhanced fault diagnosis of DFIG converter systems. 2019 54th International Universities Power Engineering Conference (UPEC). IEEE, 2019.
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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.",
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author = "Ibem, {Chukwuemeka N.} and Farrag, {Mohamed Emad} and Aboushady, {Ahmed A.}",
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Ibem, CN, Farrag, ME & Aboushady, AA 2019, Enhanced fault diagnosis of DFIG converter systems. in 2019 54th International Universities Power Engineering Conference (UPEC). IEEE. https://doi.org/10.1109/UPEC.2019.8893567

Enhanced fault diagnosis of DFIG converter systems. / Ibem, Chukwuemeka N.; Farrag, Mohamed Emad; Aboushady, Ahmed A.

2019 54th International Universities Power Engineering Conference (UPEC). IEEE, 2019.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AU - Farrag, Mohamed Emad

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N2 - 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.

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Ibem CN, Farrag ME, Aboushady AA. Enhanced fault diagnosis of DFIG converter systems. In 2019 54th International Universities Power Engineering Conference (UPEC). IEEE. 2019 https://doi.org/10.1109/UPEC.2019.8893567