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1

Institute of Power Transmission and High Voltage Technology, University of StutFtgart, Stuttgart 70569, Germany

2

General Electric Grid Solutions; Moenchengladbach 41065, Germany

3

TÜV Süd Energietechnik, Filderstadt 70794, Germany





*

Author to whom correspondence should be addressed.



Academic Editor: Issouf Fofana

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. View Full-Text

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 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





Autor: Stefan Tenbohlen 1,* , Sebastian Coenen 2, Mohammad Djamali 1, Andreas Müller 3, Mohammad Hamed Samimi 1 and Martin Siegel 1

Fuente: http://mdpi.com/



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