Condition monitoring and diagnosis of power transformers

Power transformers are important components of all electric networks. They are usually very expensive and therefore diagnosis and monitoring systems will be valuable for preventing damages. A continuous control of the status of the transformer condition is worthwhile and will support the appropriate decision in case of a problem. The transformers are geographically spread and with the aid of Internet, it is possible to collect appropriate information from these transformers to a central node for diagnostic purposes under the supervision of high voltage engineering experts. The aim of this paper is to show the main problems related to power transformers and to review mitigation methods for the monitoring and diagnosis of power transformers.

[1]  Y. Han,et al.  Condition Monitoring Techniques for Electrical Equipment: A Literature Survey , 2002, IEEE Power Engineering Review.

[2]  H. Borsi,et al.  Transfer function as tool for noise suppression and localization of partial discharges in transformers during on-site measurements , 2008, 2008 International Conference on Condition Monitoring and Diagnosis.

[3]  E. Gockenbach Diagnosis ofPowerTransformer Insulation , 2006 .

[4]  Hossein Borsi,et al.  Transfer function-based partial discharge localization in power transformers: a feasibility study , 2002 .

[5]  A. Setayeshmehr,et al.  A Software Implementation of the Duval Triangle Method , 2008, Conference Record of the 2008 IEEE International Symposium on Electrical Insulation.

[6]  K. D. Srivastava,et al.  Review of condition assessment of power transformers in service , 2002 .

[7]  Issouf Fofana,et al.  Aging of transformer insulating materials under selective conditions , 2007 .

[8]  G. M. Urbani,et al.  Using the recovery voltage method to evaluate aging in oil-paper insulation , 1998, ICSD'98. Proceedings of the 1998 IEEE 6th International Conference on Conduction and Breakdown in Solid Dielectrics (Cat. No.98CH36132).