A New Method Presentation for Fault Location in Power Transformers

Power transformers are among the most important and expensive equipments in the electric power systems. Consequently the transformer protection is an essential part of the system protection. This paper presents a new method for locating transformer winding faults such as turn-to-turn, turn-to-core, turn-totransformer body, turn-to-earth, and high voltage winding to low voltage winding. In this study the current and voltage signals of input and output terminals of the transformer are measured, which the Fourier transform of measured signals and harmonic analysis determine the fault's location.

Authors:

• Hossein Mohammadpour
• Rahman Dashti

Keywords:

• turn-to-turn faults
• short circuit
• Fourier transform
• harmonic analysis.

References:

[1] IEEE Std C37.91-2000, "IEEE Guide for Protective Relay Applications
to Power Transformers."
[2] J. Webster (ed.), "Wiley Encyclopedia of Electrical and Electronics
Engineering," Transformer Protection, (c) 1999, John Wiley & Sons,
Inc.
[3] M. R. Barzegaran and M. Mirzaie, "Detecting the position of winding
short circuit faults in transformer using high frequency analysis,"
European Journal of Scientific Research, vol. 23, 2008, pp. 644-658.
[4] A. Shintemirov, W. J. Tang, W. H. Tang, and Q.H. Wu, "Improved
modelling of power transformer winding using bacterial swarming
algorithm and frequency response analysis," Electric Power Systems
Research, vol. 80, 2010, pp. 1111-1120.
[5] M. A. Abdul Rahman, H. Hashim, and P. S. Ghosh, "Frequency response
analysis of a power transformer," Electrical Engineering Department,
College of Engineering, Universiti Tenaga Nasional.
[6] M. Faridi, M. Kharezi, E. Rahimpour, H.R. Mirzaei, and A. Akbari,
"Localization of turn-to-turn fault in transformers using artificial neural
networks and winding transfer function," International Conference on
Solid Dielectrics, Potsdam, Germany, July 4-9, 2010.
[7] H. Wang and K.L. Butler, "Finite element analysis of internal winding
faults in distribution transformers," IEEE Transactions on Power
Delivery, vol. 16, July 2001.
[8] L. M. R. Oliveira and A.J. Marques Cardoso, "On-line diagnostics of
transformer winding insulation failures by Park's vector approach,"
Proceedings of the 9th International Electrical Insulation Conference, pp.
16-21, Berlin, Germany, June 18-20, 2002.
[9] A. Ngaopitakkul and A. Kunakorn, "Internal fault classification in
transformer windings using combination of discrete wavelet transforms
and back-propagation neural networks," International Journal of Control,
Automation, and Systems, vol. 4, no. 3, pp. 365-371, June 2006.
[10] L. Satish and Subrat K. Sahoo, "Locating faults in a transformer
winding: an experimental study," Electric Power Systems Research, vol.
79, pp. 89-97, 2009.
[11] P. Palmer-Buckle, K. L. Butler, and N. D. R. Sarma, "Characteristics of
transformer parameters during internal winding faults based on
experimental measurements," IEEE Transmission and Distribution
Conference, 1999.
[12] A. S. Reddy and M. Vijaykumar, "Neural network modeling of
distribution transformer with internal winding faults using double
Fourier series," International Journal of Computer Science and
Applications, vol. 1, December 2008.
[13] T.S. Sidhu, H.S. Gill, and M.S. Sachdev, "A numerical technique based
on symmetrical components for protecting three-winding transformers,"
Electric Power Systems Research, vol. 54, pp. 19-28, 200
[14] V. Rashtchi, E. Rahimpour and E. M. Rezapour, "Using a genetic
algorithm for parameter identification of transformer R-L-C-M model,"
Electrical Engineering, vol. 88, pp.417-422, 2006.
[15] J. Webster (ed.), "Wiley Encyclopedia of Electrical and Electronics
Engineering," Power System Harmonics, (c) 1999, John Wiley & Sons,
Inc.