Diagnostic Measurements for Power Transformers

Stefan Tenbohlen, Sebastian Coenen, Mohammad Djamali, Andreas Müller, Mohammad Hamed Samimi and Martin Siegel
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Stefan Tenbohlen: Institute of Power Transmission and High Voltage Technology, University of StutFtgart, Stuttgart 70569, Germany
Sebastian Coenen: General Electric Grid Solutions; Moenchengladbach 41065, Germany
Mohammad Djamali: Institute of Power Transmission and High Voltage Technology, University of StutFtgart, Stuttgart 70569, Germany
Andreas Müller: TÜV Süd Energietechnik, Filderstadt 70794, Germany
Mohammad Hamed Samimi: Institute of Power Transmission and High Voltage Technology, University of StutFtgart, Stuttgart 70569, Germany
Martin Siegel: Institute of Power Transmission and High Voltage Technology, University of StutFtgart, Stuttgart 70569, Germany

Energies, 2016, vol. 9, issue 5, 1-25

Abstract: 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: power transformer; condition assessment; reliability; failure statistic; partial discharge measurement; frequency response analysis (FRA); dissolved gas analysis (DGA); dielectric response measurement; moisture in oil; dynamic thermal modeling (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2016
References: View complete reference list from CitEc
Citations: View citations in EconPapers (43)

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