A new method for analysing transformer condition using frequency response analysis

In modern electrical transmission and distribution systems, power transformers are critical components within the network. In the event that a failure occurs in service, the impact can be far reaching. Not only causing extended outages, but costly repairs and potentially serious injury or fatality can result. The ageing transformer population increases the likelihood of failure so a reliable diagnostic tool is required to determine the remaining life of these assets. Frequency Response Analysis (FRA) has been growing in popularity in recent times as a tool to detect mechanical deformation within power transformers. However, because FRA relays on graphical analysis, it calls for an expert person to analyse the results. So far, there are no standard codes for FRA interpretation. This paper introduces an alternative method for analysing FRA results using the polar plot. Various types of faults have been simulated to assess its impact on the polar plot. The technique is easy to be implemented and automated so that the requirement for expert personnel can be eliminated.

[1]  D. Douglass Potential Transformer Accuracy at 60HZ Voltages Above and Below Rating and at Frequencies Above 60 HZ , 1981, IEEE Transactions on Power Apparatus and Systems.

[2]  J. Bak-Jenson,et al.  Parametric identification in potential transformer modelling , 1992 .

[3]  Syed Islam,et al.  Condition monitoring of power transformers in the Australian State of New South Wales using transfer function measurements , 1997, Proceedings of 5th International Conference on Properties and Applications of Dielectric Materials.

[4]  E. J. Figueroa MANAGING AN AGING FLEET OF TRANSFORMERS , 2009 .

[5]  E. Billig,et al.  Mechanical stresses in transformer windings , 1946 .

[6]  J. P. Reynders,et al.  Failures in power system transformers and appropriate monitoring techniques , 1999 .

[7]  A. Venkatasami,et al.  Realization of transformer winding network from sweep frequency response data , 2008, 2008 International Conference on Condition Monitoring and Diagnosis.

[8]  L. M. Geldenhuis Power transformer life management , 2005 .

[9]  D.M. Sofian,et al.  Frequency response analysis in diagnosing transformer winding movements - fundamental understandings , 2004, 39th International Universities Power Engineering Conference, 2004. UPEC 2004..

[10]  Gerard Ledwich,et al.  Identification of high frequency transformer equivalent circuit using Matlab from frequency domain data , 1997, IAS '97. Conference Record of the 1997 IEEE Industry Applications Conference Thirty-Second IAS Annual Meeting.

[11]  Gerard Ledwich,et al.  Locating transformer faults through sensitivity analysis of high frequency modeling using transfer function approach , 1996, Conference Record of the 1996 IEEE International Symposium on Electrical Insulation.

[12]  Z.D. Wang,et al.  Winding movement in power transformers: a comparison of FRA measurement connection methods , 2006, IEEE Transactions on Dielectrics and Electrical Insulation.