Detection of Mechanical Deformation in Old Aged Power Transformer Using Cross Correlation Co-Efficient Analysis Method

Asif Islam, Shahidul Islam Khan, Aminul Hoque
DOI: 10.4236/epe.2011.34073                

Abstract

Detection of minor faults in power transformer active part is essential because minor faults may develop and lead to major faults and finally irretrievable damages occur. Sweep Frequency Response Analysis (SFRA) is an effective low-voltage, off-line diagnostic tool used for finding out any possible winding displacement or mechanical deterioration inside the Transformer, due to large electromechanical forces occurring from the fault currents or due to Transformer transportation and relocation. In this method, the frequency response of a transformer is taken both at manufacturing industry and concern site. Then both the response is compared to predict the fault taken place in active part. But in old aged transformers, the primary reference response is unavailable. So Cross Correlation Co-Efficient (CCF) measurement technique can be a vital process for fault detection in these transformers. In this paper, theoretical background of SFRA technique has been elaborated and through several case studies, the effectiveness of CCF parameter for fault detection has been represented.

Keywords

Core Damage, Radial Deformation, Axial Deformation, Sweep Frequency Response Analysis, Cross Correlation Co-efficient, Power Transformer

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1]	T. McGrail, “Transformer Frequency Response Analysis: An Introduction,” The International Electrical Testing Association, 1 April 2005.
[2]	M. Darveniza, D. J. T. Hill, T. T. Le and T. K. Saha, “Investigations into Effective Methods for Assessing the Condition of Insulation in Aged Power transformers,” IEEE Transactions on Power Delivery, Vol. 13, No. 4, 1998, pp. 1214-1223. doi:10.1109/61.714487
[3]	A. Kuechler, F. Huellmandel, K. Boehm, C. Neumann, N. Koch, K. Loppach, C. Krause and J. J. Alff, “Condition Assessment of Aged Transformer Bushing Insulations,” Water and Energy Abstracts, Vol. 19, No. 4, 2006, pp. 1-10.
[4]	M. De Nigris et al., “Application of Modern Techniques for the Condition Assessment of Power Transformers,” Cigré Session 2004, Paper No. A2-207.
[5]	B. Richardson, “Diagnostics and Condition Monitoring of Power Transformers,” IEEE ABB Power Transformer Research and Development Ltd, 1997.
[6]	A. P. Purnomoadi and D. Fransisco, “Modeling and Diagnostic Transformer Condition Using Sweep Frequency Response Analysis,” Proceeding of ICPADM 9th International Conference on the Properties and Applications of Dielectric Materials, Harbin, 19-23 July 2009, pp. 1059-1063.
[7]	P. Werelius, M. Ohlen, L. Adeen, E. Brynjebo, et al., “Measurement Considerations Using SFRA for condition Assessment of Power Transformers,” Proceeding of CMD International Conference on Condition Monitoring and Diagnosis, Beijing, 21-24 April 2008, pp. 898-901.
[8]	G. Joginadham, H. A. Mangalvedekar and A. Venkatasami, “Development of Networks for SFRA Data Using Circuit Synthesis,” Proceeding of CMD International Conference on Condition Monitoring and Diagnosis, Beijing, 21-24 April 2008, pp. 1350-1353. doi:10.1109/CMD.2008.4580519
[9]	S. Patil and A. Venkatasami “Realization of Transformer Winding Network from Sweep Frequency Response Data,” Proceeding of CMD International Conference on Condition Monitoring and Diagnosis, Beijing, 21-24 April 2008, pp. 505-508. doi:10.1109/CMD.2008.4580336
[10]	E. Al-Ammar, G. G. Karady and O. P. Hevia, “Improved Technique for Fault Detection Sensitivity in Transformer Maintenance Test,” Proc. Power Engineering Society General Meeting, June 2007, pp. 505-508.
[11]	S. Ryder, “Diagnosing Transformer Faults Using Frequency Response Analysis: Results from Fault Simulations,” IEEE/ PES Summer Meeting, Chicago, 2002, pp. 399-404.
[12]	S. M. Islam, “Detection of Shorted Turns and Winding Movements in Large Power Transformers Using Frequency Response Analysis,” IEEE Power Society Winter Meeting, Singapore, Vol. 3, 2000, pp. 2233-2238.
[13]	J. A. Lapworth and T. J. Noonan, “Mechanical Condition Assessment of Power Transformers Using Frequency Response Analysis,” Proceedings of the 1995 International Client Conference, Boston, 22-26 May 1995.
[14]	L. Coffeen, J. Britton and J. Rickmann, “A New Technique to Detect Winding Displacements in Power Transformers Using Frequency Response Analysis,” IEEE Power Tech Conference, Bologna, 23-26 June 2003, pp. 23-26. doi:10.1109/PTC.2003.1304329
[15]	L. Moodley and B. de Klerk “Sweep Frequency Response Analysis as A Diagnostic tool to Detect Transformer Mechanical Integrity,” eThekwini Electricity, Durban, 1978, pp. 1-9.
[16]	S. Tenbohlen and S. A. Ryder, “Making Frequency Response Analysis Measurements: A Comparison of the Swept Frequency and Low Voltage Impulse Methods,” XIIIth International Symposium on High Voltage Engineering, Delft, 25-29 August 2003.
[17]	M. Wang, A. J. Vandermaar and K. D. Srivastava, “Transformer Winding Movement Monitoring in Service—Key Factors Affecting FRA Measurements,” IEEE Electrical Insulation Magazine, Vol. 20, No. 5, 2004, pp 5-12. doi:10.1109/MEI.2004.1342427
[18]	S. Tenbohlen and S. A. Ryder, “Making Frequency Response Analysis Measurements, a Comparison of the Swept Frequency and LV Impulse Methods,” 13th International Symposium on HV Engineering, Delft University of Technology, Delft, 25-29 August 2003.
[19]	J. Bak-Jensen, B. Bak-Jensen, and S. D. Mikkelsen, “Detection of Faults and Aging Phenomena in Transformers by Transfer Functions,” IEEE Transactions on Power Delivery, Vol. 10, No. 1, 1999, pp. 308-314. doi:10.1109/61.368384
[20]	Z. J. Jin, J. T. Li and Z. S. Zhu, “Diagnosis of Transformer Winding Deformation on the Basis of Artificial Neural Network,” Proceedings of the 6th International Conference on Properties and Applications of Dielectric Materials, Xi’an Jiaotong University, Xi’an, 21-26 June 2000.
[21]	T. K. Saha, A. Prasad and Z. T. Yao, “Voltage Response Measurements for the Diagnosis of Insulation Condition in Power Transformer,” International Symposium on High Voltage Engineering, Bangalore, 19-25 August 2001.
[22]	R. C. Dorf and R. H. Bishop, “Modern Control Systems,” 10th Edition, Dorling Kindersley, New Delhi, 2005, p. 869.
[23]	N. D. Cogger and R. V. Webb, “Frequency Response Analysis,” Solartron Analytical, Technical Report 10, 1997.
[24]	T. K. Saha and P. Purkait, “An Attempt to Correlate Time & Frequency Domain Polarisation Measurements for the Insulation Diagnosis of Power Transformer,” Proceedings of the IEEE Power Engineering Society General Meeting, Denver, 6-10 June 2004.
[25]	S. Ryder, “Methods for Comparing Frequency Response Analysis Measurements,” Conference Record of the 2002 IEEE International Symposium on Electrical Insulation, Boston, 7-10 April 2002, pp. 187-190.