Next Article in Journal
Energy Research in Airports: A Review
Previous Article in Journal
A Comparative Computational Fluid Dynamics Study on an Innovative Exhaust Air Energy Recovery Wind Turbine Generator
Review

Diagnostic Measurements for Power Transformers

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
Energies 2016, 9(5), 347; https://doi.org/10.3390/en9050347
Received: 24 February 2016 / Revised: 5 April 2016 / Accepted: 11 April 2016 / Published: 6 May 2016
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
Show Figures

Figure 1

MDPI and ACS Style

Tenbohlen, S.; Coenen, S.; Djamali, M.; Müller, A.; Samimi, M.H.; Siegel, M. Diagnostic Measurements for Power Transformers. Energies 2016, 9, 347. https://doi.org/10.3390/en9050347

AMA Style

Tenbohlen S, Coenen S, Djamali M, Müller A, Samimi MH, Siegel M. Diagnostic Measurements for Power Transformers. Energies. 2016; 9(5):347. https://doi.org/10.3390/en9050347

Chicago/Turabian Style

Tenbohlen, Stefan, Sebastian Coenen, Mohammad Djamali, Andreas Müller, Mohammad H. Samimi, and Martin Siegel. 2016. "Diagnostic Measurements for Power Transformers" Energies 9, no. 5: 347. https://doi.org/10.3390/en9050347

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop