Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 30174
A New Method Presentation for Fault Location in Power Transformers

Authors: Hossein Mohammadpour, Rahman Dashti

Abstract:

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.

Keywords: turn-to-turn faults, short circuit, Fourier transform, harmonic analysis.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1084406

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 2073

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.