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A Linear Feature for On-line Monitoring of Mechanical Defects in Transformer Windings

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Author Affiliations

  • 1 Electrical Engineering Department, Amirkabir University of Technology, Tehran, IRAN

Res. J. Recent Sci., Volume 4, Issue (5), Pages 31-40, May,2 (2015)

Abstract

Frequency Response Analysis (FRA) is mostly utilized as an effective diagnosis and monitoring tool to detect typical mechanical defects, i.e., radial deformation and axial displacement, in power transformers. However, it is an off-line technique, i.e., the transformer should be out of service or disconnected to conduct the tests. This paper presents a novel on-line method based on the measurement of terminal current and voltage signals at the power frequency to distinguish between axial displacements and radial deformations in transformer windings. To demonstrate the feasibility of this method, an appropriate detailed RLCM model of the transformer winding is used and various defects are analyzed. The simulation results show the sensitivity and capability of the proposed technique for determining the extent and type of mechanical defects in power transformer windings. Furthermore, it is a straightforward technique applying the measured signals obtained from the existing metering equipments accessible in every substation and connected to power transformer and also the results can be interpreted by non-expert staff.

References

  1. Christian J. and Feser K., Procedures for detecting winding displacements in power transformers by the transfer function method, IEEE Transactions on Power Delivery, 19(1), 214–220 (2004)
  2. Secue J.R. and Mombello E., Sweep frequency response analysis (SFRA) for the assessment of winding displacements and deformation in power transformers, Electric Power Systems Research, 78, 1119–1128 (2008)
  3. Rahimpour E. and Christian J. et al., Transfer function method to diagnose axial displacement and radial deformation of transformer windings, IEEE Transactions on Power Delivery, 18(2), 493–505 (2003)
  4. Abeywickrama K.G.N.B. and Serdyuk Y.V. et al., Exploring possibilities for characterization of power transformer insulation by frequency response analysis (FRA), IEEE Transactions on Power Delivery, 21(3), 1375–1382 (2006)
  5. Al-Ammar E.A. and Karady G.G. et al., Novel technique to improve the fault detection sensitivity in transformer maintenance test, European Transactions on Electrical Power, 20(4), 438–449 (2010)
  6. Leibfried T. and Feser K., Monitoring of power transformers using the transfer function method, IEEE Transactions on Power Delivery,14(4), 1333–1341(1999)
  7. Sofian D.M. and Wang Z.D. et al., Interpretation of transformer FRA responses-part II: Influence of transformer structure. IEEE Transactions on Power Delivery, 25(4), 2582-2589 (2010)
  8. Fei S and Zhang X., Fault diagnosis of power transformer based on support vector machine with genetic algorithm, Expert Systems with Applications, 36(8), 11352–11357 (2009)
  9. Bigdeli M. and Vakilian M. et al., A probabilistic neural network classifier-based method for transformer winding fault identification through its transfer function measurement, European Transactions on Electrical Power, 23(3), 392–404, (2013)
  10. Bigdeli M. and Vakilian M. et al., Transformer winding faults classification based on transfer function analysis by support vector machine, IET Electric Power Applications, 6(5), 268-276 (2012)
  11. Nirgude P.M. and Ashokraju D. et al., Application of numerical evaluation techniques for interpreting frequency response measurements in power transformers, IET Science, Measurement and Technology, 2(5), 275-285 (2008)
  12. Rahimpour E. and Jabbari M. et al., Mathematical comparison methods to assess transfer functions of transformers to detect different types of mechanical faults, IEEE Transactions on Power Delivery, 25(4), 2544-2555, (2010)
  13. Pourhossein K. and Gharehpetian G.B. et al., A probabilistic feature to determine type and extent of winding mechanical defects in power transformers, Electric Power Systems Research, 82(1), 1-10 (2012)
  14. Badgujar K.P. and Maoyafikuddin M. et al., Alternative statistical techniques for aiding SFRA diagnostics in transformers, IET Generation, Transmission and Distribution, 6(3), 189-198 (2012)
  15. Karimifard P. and Gharehpetian G.B. et al., Determination of axial displacement extent based on transformer winding transfer function estimation using vector-fitting method, European Transactions on Electrical Power, 18(4), 423–436 (2008)
  16. Karimifard P. and Gharehpetian G.B. et al., Localization of winding radial deformation and determination of deformation extent using vector fitting-based estimated transfer function, European Transactions on Electrical Power, 19(5), 749–762 (2009)
  17. Ragavan K. and Satish L., Localization of changes in a model winding based on terminal measurements: experimental study, IEEE Transactions on Power Delivery, 22(3), 1557–1565 (2007)
  18. Mukherjee P. and Satish L., Construction of equivalent circuit of a single and isolated transformer winding from FRA data using the ABC algorithm, IEEE Transactions on Power Delivery, 27(2), 963-970 (2012)
  19. Tenbohlen S. and Ryder S., Making frequency response analysis measurements: a comparison of the swept frequency and low voltage impulse methods,In: XIIIth international symposium on high voltage engineeringISH2003, Netherlands, 1-4 (2003)
  20. Bagheri M. and Naderi M.S. et al., Advanced transformer winding deformation diagnosis: moving from off-line to on-line, IEEE Transactions on Dielectric and Electrical Insulation, 19(6),1860-1870 (2012)
  21. Gao S-b. and Wang G., Study on on-line monitoring of windings deformation of power transformer, In: IEE 8th International Conference on Developments in Power System Protection, RAI Centre, Amsterdam, The Netherlands, 335-338 (2004)
  22. Hu G and Zhang L et al., Detecting the capacity of distribution transformer based on an on-Line method, In: Asia-Pacific Power and Energy Engineering Conference -APPEEC, Wuhan, China, 1-4 (2011)
  23. Palani A. and Santhi S. et al., Real-time techniques to measure winding displacement in transformers during short-circuit tests, IEEE Transactions on Power Delivery, 23(2), 726-732 (2008)
  24. Xu D.K. and Huang J.H. et al., On-line monitoring of winding deformation of power transformer, In: Proceeding of International Symposium on Electrical Insulating Materials, Himeji, Japan, 853-856 (2001)
  25. Rybel T.D. and Singh A. et al., Apparatus for online power transformer winding monitoring using bushing tap injection, IEEE Transactions on Power Delivery, 24(3), 996–1003 (2009)
  26. Wang M., Winding movement and condition monitoring of power transformers in service, Dissertation of Doctoral Thesis, University of British Columbia,Vancouver, Canada, (2003)
  27. Behjat V. and Vahedi A. et al., Diagnosing shorted turns on the windings of power transformers based upon online FRA using capacitive and inductive couplings. IEEE Transactions on Power Delivery, 26(4), 2123–2133 (2011)
  28. Behjat V. and Vahedi A. et al., Sweep frequency response analysis for diagnosis of low level short circuit faults on the windings of power transformers: an experimental study, International Journal of Electrical Power and Energy Systems, 42(1), 78–90 (2012)
  29. Gómez-Luna E. and Aponte G. et al., Current status and future trends in the frequency response analysis (FRA) with the transformer in service, IEEE Transactions on Power Delivery, 28(2), 1024–1031 (2013)
  30. Vahedi A. and Behjat V., Online monitoring of power transformers for detection of internal winding short circuit faults using negative sequence analysis, European Transactions on Electrical Power,21(1), 196-211(2011)
  31. Hocine L. and Badri R. et al., Transformer diagnosis based on two low frequencies waveforms, International Journal of Electrical Power and Energy Systems, 43(1), 358-363 (2012)
  32. Abu-Siada A. and Islam S., A novel online technique to detect power transformer winding faults, IEEE Transactions on Power Delivery, 27(2), 849–857 (2012)
  33. Hejazi M.A. and Ebrahimi J. et al., Application of ultra-wideband sensors for on-line monitoring of transformer winding radial deformation- a feasibility study, IEEE Sensors Journal, 12(6), 1649-1659 (2012)
  34. Hejazi M.A. and Gharehpetian G.B. et al., Online monitoring of transformer winding axial displacement and its extent using scattering parameter and k-nearest neighbor method, IET Generation, Transmission and Distribution, 5(8), 824-832 (2011)
  35. García B. and Burgos J.C. et al., Winding deformations detection in power transformers by tank vibrations monitoring, Electric Power Systems Research, 74(1), 129-138 (2005)
  36. García B. and Burgos J.C. et al., Transformer tank vibration modeling as a method of detecting winding deformations-part I: theoretical foundation, IEEE Transactions on Power Delivery, 21(1), 157-163 (2006)
  37. García B and Burgos J.C. et al., Transformer tank vibration modeling as a method of detecting winding deformations-part II: experimental verification, IEEE Transactions on Power Delivery, 21(1), 164-169 (2006)
  38. He T. and Wang J-Di. et al., A vibration based condition monitoring system for power transformers, In: Asia-Pacific Power and Energy Engineering Conference (APPEEC), Wuhan, China, 1-4 (2009)
  39. Shao Y. and Guan H. et al., Non-electric measurements-based on-line diagnosis method for the fault of transformer windings, In: CIRED 21st International Conference on Electricity Distribution, Frankfurt, Germany (2011)
  40. Joshi P.M. and Kulkarni S.V., A novel approach for online deformation diagnostics of transformer windings, In: IEEE Power and Energy Society, General Meeting, Minneapolis, USA, 1-6 (2010)
  41. Singh A. and Castellanos F. et al., A comparison of trans-admittance and characteristic impedance as metrics for detection of winding displacements in power transformers, Electric Power Systems Research, 79(6), 871–877 (2009)
  42. Ghanizadeh A.J. and Gharehpetian G.B., Application of characteristic impedance and wavelet coherence technique to discriminate mechanical defects of transformer winding, Electric Power Components and Systems, 41(9), 868-878 (2013)
  43. Rahmatian M. and Vahidi B. et al., Insulation failure detection in transformer winding using cross-correlation technique with ANN and k-NN regression method during impulse test, International Journal of Electrical Power and Energy Systems, vol 53, 209-218 (2013)
  44. Bjerkan E., High frequency modeling of power transformers, stresses and diagnostics, Dissertation of Doctoral Thesis, Norwegian University of Science and Technology (NTNU), Trondheim, Norway (2005)
  45. Gharehpetian G.B., Modellierung von transformatorwicklungen zur untersuchung schnellveränderlicher transienter vorgänge [Modeling of transformer winding for fast transient studies]. Dissertation of Doctoral Thesis, RWTH Aachen, Aachen, Germany (1996)
  46. Wang M. and Vandermaar A.J. et al., Improved detection of power transformer winding movement by extending the FRA high frequency range, IEEE Transaction on Power Delivery, 20(3), 1930-1938 (2005)