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A simple method to detect internal and external short-circuit faults, classify and locate different internal faults in transformers

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Abstract

In new power systems, transformer monitoring and on-time detection of internal faults in power transformers are of great importance because if these faults are not identified on-time, the lifetime of the transformer might be reduced, the transformer might be completely disconnected, and network reliability might decrease. In this paper, a new method is proposed to detect internal and external short-circuit faults. It also allows us to classify and locate different internal short-circuit faults offline in power transformers. The proposed method is based on creating a locus curve of voltage–current difference (\( \Delta V - I \)) for all three phases of the transformer. This method can be implemented simply without requiring special equipment and only through monitoring terminal quantities of the transformer. In order to investigate the behavior of transformers in the presence of internal short-circuit fault, the finite element method is used. By investigating variations of locus diagrams concerning to the normal state, fault type and fault location are determined. The proposed method is applied to a distribution transformer white Yzn5 connection successfully. Simulation results verify the capability of the proposed method in transformer monitoring.

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References

  1. Bartley WH (2003) Analysis of transformer failures. In: International association of engineering insurers 36th annual conference, pp 1–5

  2. Franklin AC, Stigant A (1973) A practical technology of the power transformer. In: Transform JPB (ed) 11th Ed, Butterworths, pp 23–25

  3. Babiy M, Gokaraju R, Garcia JC (2011) Turn-to-turn fault detection in transformers using negative sequence currents. In: Electrical power and energy conference (EPEC), 2011 IEEE, pp 158–163

  4. Mousavi , Butler-Purry KL (2003) Transformer internal incipient fault simulations. In: Proceedings of 2003 North American power symposium, Rolla, MO, pp 195–203

  5. Phadke AG, Thorp JS (1983) A new computer-based flux-restrained current-differential relay for power transformer protection. IEEE Trans Power Appar Syst 11:3624–3629

    Article  Google Scholar 

  6. Rahman MA, Jeyasurya B (1988) A state-of-the-art review of transformer protection algorithms. IEEE Trans Power Deliv 3(2):534–544

    Article  Google Scholar 

  7. Larson RR, Flechsig AJ, Schweitzer EO (1979) The design and test of a digital relay for transformer protection. IEEE Trans Power Appar Syst 3:795–804

    Article  Google Scholar 

  8. Bertrand P, Devalland A, Bastard P (1993) A simulation model for transformer internal faults base for the study of protection and monitoring systems. In: 12th international conference on electricity distribution, vol 1, pp 1–21

  9. Bastard P, Bertrand P, Meunier M (1994) A transformer model for winding fault studies. IEEE Trans Power Deliv 9(2):690–699

    Article  Google Scholar 

  10. Bo Z, Weller G, Lomas T (2000) A new technique for transformer protection based on transient detection. IEEE Trans Power Deliv 15(3):870–875

    Article  Google Scholar 

  11. Orille-Fernandez AL, Ghonaim NKI, Valencia JA (2001) A FIRANN as a differential relay for three phase power transformer protection. IEEE Trans Power Deliv 16(2):215–218

    Article  Google Scholar 

  12. Aggarwal RK, Mao P (1998) Digital simulation of the transient phenomena in high voltage power transformers with particular reference to accurate fault detection

  13. Wang H, Butler KL (2002) Modeling transformers with internal incipient faults. IEEE Trans Power Deliv 17(2):500–509

    Article  Google Scholar 

  14. Wang H, Butler KL (2001) Finite element analysis of internal winding faults in distribution transformers. IEEE Trans Power Deliv 16(3):422–428

    Article  Google Scholar 

  15. Elrefaie HB, Megahed AI (2002) Modeling transformer internal faults using Matlab. In: Electrotechnical conference, 2002. MELECON 2002. 11th Mediterranean, pp 226–230

  16. Sun H-C, Huang Y-C, Huang C-M (2012) A review of dissolved gas analysis in power transformers. Energy Procedia 14:1220–1225

    Article  Google Scholar 

  17. Bhide RS, Srinivas MSS, Banerjee A, Somakumar R (2010) Analysis of winding inter-turn fault in transformer: a review and transformer models. In: 2010 IEEE international conference on sustainable energy technologies (ICSET), pp 1–7

  18. Ryder SA (2003) Diagnosing transformer faults using frequency response analysis. IEEE Electr Insul Mag 19(2):16–22

    Article  Google Scholar 

  19. Singh J, Sood YR, Jarial RK (2007) Novel method for detection of transformer winding faults using Sweep frequency response analysis. In: Power engineering society general meeting, IEEE, pp 1–9

  20. Eissa MM, Shehab-Eldin EH, Masoud ME, Abd-Elatif AE (2008) Digital technique for power transformer fault detection based on positive sequence admittance approach. In: Power system conference, 2008. MEPCON 2008. 12th International Middle-East, pp 517–522

  21. Sarem YN, Hashemzadeh E, Layegh MA (2012) Transformers fault detection using wavelet transform. Int J Tech Phys Probl Eng 4(10):1

    Google Scholar 

  22. Abed NY, Mohammed OA (2007) Modeling and characterization of transformers internal faults using finite element and discrete wavelet transforms. IEEE Trans Magn 43(4):1425–1428

    Article  Google Scholar 

  23. Ngaopitakkul A, Kunakorn A (2006) Internal fault classification in transformer windings using combination of discrete wavelet transforms and back-propagation neural networks. Int J Control Autom Syst 4(3):365–371

    Google Scholar 

  24. Sendilkumar S, Mathur BL, Henry J (2009) A new technique to classify transient events in power transformer differential protection using S-transform. In: International conference on power systems, 2009. ICPS’09. pp 1–6

  25. Jiao S, Wang S, Zheng G (2008) A new approach to identify inrush current based on generalized S-transform. In: International conference on electrical machines and systems, 2008. ICEMS 2008. pp 4317–4322

  26. Panigrahi BK, Samantaray SR, Dash PK, Panda G (2006) Discrimination between inrush current and internal faults using pattern recognition approach. In: International conference on power electronics, drives and energy systems, 2006. PEDES’06. pp 1–5

  27. Tripathy M (2012) Power transformer differential protection based on neural network principal component analysis, harmonic restraint and Park’s plots. Adv Artif Intell 2012

  28. Mahmoud AM, El-Naggar MF, Shehab-Eldin EH (2012) A new technique for power transformer protection based on transient components. Energy Procedia 14:318–324

    Article  Google Scholar 

  29. Craciunescu A, Ciumbulea G, Media M (2012) Stator winding fault diagnostic of induction motor using instantaneous currents’ space phasor approach. Prz Elektrotechniczny 88(1):108–111

    Google Scholar 

  30. González GD, Fernández JG-A, Arboleya PA (2004) Diagnosis of a turn-to-turn short circuit in power transformers by means of zero sequence current analysis. Electr Power Syst Res 69(2–3):321–329

    Article  Google Scholar 

  31. Wang C, Nehrir MH (2010) Turn-to-turn fault detection in transformers using negative sequence currents. A Thesis Submitted to College of Graduate Studies and Research In partial Fulfillment of Requirments For the Degree of Master of Science, Department of Electrical and Computer Engineering University of Saskatchewan

  32. Satish L, Sahoo SK (2005) An effort to understand what factors affect the transfer function of a two-winding transformer. IEEE Trans Power Deliv 20(2):1430–1440

    Article  Google Scholar 

  33. Oliveira LMR, Cardoso AJM (2010) Power transformers behavior under the occurrence of inrush currents and turn-to-turn winding insulation faults. In: 2010 XIX international conference on electrical machines (ICEM), pp 1–7

  34. Oliveira LMR, Cardoso AJ, Cruz SMA (2002) Transformers on-load exciting current Parks vector approach as a tool for winding faults diagnostics

  35. Abu-Siada A, Islam S (2012) A novel online technique to detect power transformer winding faults. IEEE Trans Power Deliv 27(2):849–857

    Article  Google Scholar 

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Authors and Affiliations

  1. Department of Electrical Engineering, Amirkabir University of Technology, Tehran, Iran

    Hossein Ahmadi, Behrooz Vahidi & Amin Foroughi Nematollahi

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  1. Hossein Ahmadi
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  2. Behrooz Vahidi
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  3. Amin Foroughi Nematollahi
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Correspondence to Behrooz Vahidi.

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Ahmadi, H., Vahidi, B. & Foroughi Nematollahi, A. A simple method to detect internal and external short-circuit faults, classify and locate different internal faults in transformers. Electr Eng 103, 825–836 (2021). https://doi.org/10.1007/s00202-020-01122-3

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