Recognition and Location of Power Transformer Turn to Turn Fault by Analysis of Winding Imposed Forces

Document Type : Research paper

Authors

Department of Electrical Engineering, Malayer University, Malayer, Iran.

Abstract

Turn to turn fault is one of the major internal failures in the power transformers that if it is not quickly detected, can be extended and led to a complete transformer breakdown. So, the diagnosis and location of the turn to turn fault of the power transformer, as one of the most important equipment in the power system, is the main objective of this paper. For this purpose, a detailed model of a three-phase transformer is presented by the finite element method (FEM) to investigate this fault in the different situations. Accordingly, the number of short-circuit turns as well as fault location, cause to generate the high forces between the short-circuit turns and the other healthy winding turns. Consequently, in this paper an appropriate method based on force analysis of winding turns for detecting, locating and determining fault severity is introduced.

Keywords


[1]    M. R. Barzegaran and M. Mirzaie, “Detecting the position of winding short circuit faults in transformer using high frequency analysis”, Eur. J. Scientif. Res., vol. 23, pp. 644-58, 2008.
[2]    A. A. Etumi, F. Anayi, “The application of correlation technique in detecting internal and external faults in three-phase transformer and saturation of current transformer” IEEE Trans. Power Delivery, vol. 31, no. 5, pp. 2131-39, 2016.
[3]    M. J. Mousaviand and K. L. Butler-Purry, “Transformer internal incipient fault simulations,” Proce. North Amer. Power Symp., Rolla, MO, pp. 195-203, 2003.
[4]    X. Zhao, C. Yao, Z. Zhao, A. A. Siada, “Performance evaluation of online transformer internal fault detection based on transient overvoltage signals”, IEEE Trans. Dielectr. Electr. Insul., vol. 24, no. 6, pp. 3906 -15, 2017.
[5]    V. Behjat, and A. Vahedi, "Numerical modelling of transformers interturn faults and characterising the faulty transformer behaviour under various faults and operating conditions," IET Electr. Power Appl., vol. 5, no. 5, pp. 415-31, May 2011.
[6]     P. A. Venikar, M. S. Ballal, B. S. Umre, and H. M. Suryawanshi, “A novel offline to online approach to detect transformer inter turn fault”, IEEE Trans.  Power Delivery, vol 31, no. 2, pp. 482-92, 2016.
[7]    D. Kweon, Y. Kim, “Interpretation of turn-to-turn insulation fault by dissolved gas analysis”, IEEE Trans. Dielectr. Electr. Insul., vol. 25, no. 4, pp. 1560-66, 2018.
[8]    P. Selwyn, "Detection of faults in new and old transformers by dissolved-gas analysis," Power. Eng. J., vol. 2, no.1, pp. 52-54, Jan. 1988.
[9]    J. Lin, H. Chen, X. Gao, “Research on transformer winding for deformation fault diagnosis based on K-fault diagnosis method”, J. Eng., vol.17, no. 13, pp.2345-49, 2017.
[10]  V. Behjat, A. Shams, V. Tamjidi, “Characterization of power transformer electromagnetic forces affected by winding faults”, J. Oper. Autom. Power Eng., vol. 6, no. 1, pp. 40-49, Jun. 2018.
[11]  L. M. R. Oliveira, A. J. M. Cardoso, “Comparing power transformer turn-to-turn faults protection methods: negative sequence component versus space-vector algorithms”, IEEE Trans. Ind. Appl., vol. 53, no. 3, pp. 2817-25, 2017.
[12]  M.F. Cabanas, and et. al., “Detection of insulation faults on disc type winding transformers by means of leakage flux analysis in Diagnostics for Electric Machines”, Proce. IEEE Int. Symp. Power Electron. Drives, pp. 1-6, Sept. 2009.
[13]  A. Ngaopitakkul and A. Kunakorn, “Internal fault classification in transformer windings using combination of discrete wavelet transforms and back-propagation neural networks,” Int. J. Control, Autom. Syst., vol. 4, no. 3, pp. 365-71, Jun. 2006.
[14]  S. S. M. Ghoneim and S. A. Ward, “Dissolved Gas analysis as a diagnostic tool for early detection of transformer faults,” Adv. Elect. Eng. Syst., vol. 1, no. 3, pp. 152-156, 2012.
[15]  J. N. Ahour, S Seyedtabaii, G. B. Gharehpetian, “Determination and localization of turn-to-turn fault in transformer winding using frequency response analysis”, IET . Measur. Technol., vol. 12, no. 3, pp. 291-300, 2018.
[16]  O. Aljohani, A. A. Siada, “Application of digital image processing to detect short-circuit turns in power transformers using frequency response analysis”, IEEE Trans. Ind. Inf., vol. 12, no. 6, pp.2062-73, 2016.
[17]  A. A. Devadiga, N. Harid, H. Griffiths, N. A. Sayari, B. Barkat, S. Jayaram, H. Ikeda, T. Koshizuka, Y. Taniguchi, “Winding turn-to-turn short-circuit diagnosis using FRA method: sensitivity of measurement configuration”, IET Sci. Measur. Technol., vol. 13, no. 1, pp. 17-24, 2019.
[18]  F. Haghjoo, M. Mostafaei, “Flux-based method to diagnose and identify the location of turn-to-turn faults in transformers”, IET Gener. Transm. Distrib., vol. 10, no. 4, pp. 1083-91, 2016.
[19]  M. Mostafaei, F. Haghjoo, “Flux-based turn-to-turn fault protection for power transformers”, IET Gener. Transm. Distrib., vol. 10, no. 5, pp. 1154-1163, 2016.
[20]  F. Haghjoo, H. Mohammadi, “Planar sensors for online detection and region identification of turn-to-turn faults in transformers”, IEEE Sens. J., vol. 17, no. 17, pp. 5450-59, 2017.
[21]  F. Haghjoo, M. Mostafaei, H. Mohammadi, “A new leakage flux-based technique for turn-to-turn fault protection and faulty region identification in transformers”, IEEE Trans. Power Delivery, vol. 33, no. 2, pp. 671-79, 2018.
[22]  P. Mukherjee, and L. Satish, “Construction of equivalent circuit of a single and isolated transformer winding from FRA data using the ABC algorithm” IEEE Trans. Power Deliver, vol. 27, no. 2, April 2012.
[23]  M.F. Cabanas, et. al., "A new online method based on leakage flux analysis for the early detection and location of insulating failures in power transformers: application to remote condition monitoring,", IEEE Trans. Power Delivery, vol. 22, no. 3, pp. 1591-1602, July 2007.
[24]  V. Rashtchi, E. Rahimpour, and E. Rezapour, “Using a genetic algorithm for parameter identification of transformer R-L-C-M model”, Electr. Eng., vol. 88, no. 5, pp. 417-422, 2006.
[25]  J. Nazarzadeh and V. Naeini, “Generalized dynamical model for transformers with saturation and hysteresis effects”, Math. Comput. Modell. Dyn. Syst., pp. 1-16, 2012.
[26]  J. Faiz, J. Gharaeei, “Detection, location, and estimation of severity of inter turn faults in power transformers”, IEEE 10th Int. Conf. Compat. Power Electron. Power Eng., 2016.
[27]  A. C. de Azevedo, A.C. Delaiba, J.C. de Oliveira, B.C. Carvalho, H. de S. Bronzeado, “Transformer mechanical stress caused by external short-circuit: a time domain approach”, Proce. Int. Conf. Power Syst. Transients, France, June 2007.