LAPSE:2018.1043
Published Article
LAPSE:2018.1043
Diagnostic Measurements for Power Transformers
Stefan Tenbohlen, Sebastian Coenen, Mohammad Djamali, Andreas Müller, Mohammad Hamed Samimi, Martin Siegel
November 27, 2018
With the increasing age of the primary equipment of the electrical grids there exists also an increasing need to know its internal condition. For this purpose, off- and online diagnostic methods and systems for power transformers have been developed in recent years. Online monitoring is used continuously during operation and offers possibilities to record the relevant stresses which can affect the lifetime. The evaluation of these data offers the possibility of detecting oncoming faults early. In comparison to this, offline methods require disconnecting the transformer from the electrical grid and are used during planned inspections or when the transformer is already failure suspicious. This contribution presents the status and current trends of different diagnostic techniques of power transformers. It provides significant tutorial elements, backed up by case studies, results and some analysis. The broadness and improvements of the presented diagnostic techniques show that the power transformer is not anymore a black box that does not allow a view into its internal condition. Reliable and accurate condition assessment is possible leading to more efficient maintenance strategies.
Keywords
condition assessment, dielectric response measurement, dissolved gas analysis (DGA), dynamic thermal modeling, failure statistic, frequency response analysis (FRA), moisture in oil, partial discharge measurement, power transformer, reliability
Suggested Citation
Tenbohlen S, Coenen S, Djamali M, Müller A, Samimi MH, Siegel M. Diagnostic Measurements for Power Transformers. (2018). LAPSE:2018.1043
Author Affiliations
Tenbohlen S: Institute of Power Transmission and High Voltage Technology, University of StutFtgart, Stuttgart 70569, Germany
Coenen S: General Electric Grid Solutions; Moenchengladbach 41065, Germany
Djamali M: Institute of Power Transmission and High Voltage Technology, University of StutFtgart, Stuttgart 70569, Germany
Müller A: TÜV Süd Energietechnik, Filderstadt 70794, Germany
Samimi MH: Institute of Power Transmission and High Voltage Technology, University of StutFtgart, Stuttgart 70569, Germany [ORCID]
Siegel M: Institute of Power Transmission and High Voltage Technology, University of StutFtgart, Stuttgart 70569, Germany
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Journal Name
Energies
Volume
9
Issue
5
Article Number
E347
Year
2016
Publication Date
2016-05-06
Published Version
ISSN
1996-1073
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Original Submission
Other Meta
PII: en9050347, Publication Type: Review
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LAPSE:2018.1043
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doi:10.3390/en9050347
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Nov 27, 2018
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CC BY 4.0
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Nov 27, 2018
 
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Calvin Tsay
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