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Application of numerical evaluation techniques for interpreting frequency response measurements in power transformers

Application of numerical evaluation techniques for interpreting frequency response measurements in power transformers

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Published

Frequency response analysis (FRA) is an emerging, powerful non-intrusive condition monitoring and diagnostic tool for verifying the mechanical integrity of power transformers. FRA results are graphical in nature and require trained experts to interpret test results. The work reported discusses numerical-criteria-based evaluation techniques. Persons not familiar with interpreting the FRA results can apply the evaluation criteria. The various criteria help in deriving proper conclusions. By evaluating correlation coefficient (CC), standard deviation and absolute sum of logarithmic error (ASLE) techniques, it is possible to discriminate between defective and non-defective windings. Experimental studies were conducted on two test transformers for axial and radial displacements, and additionally two sets of identical substation transformers. The techniques mentioned above are useful for interpreting frequency responses even in situations when a reference fingerprint was not available. However, it was concluded that if original fingerprints are available, the method gives very reliable indication for diagnosing the faulty winding. In addition, the severity of displacement/deformation can also be concluded from the amount of variation of the parameters from the suggested critical values.

Inspec keywords: power transformers; frequency measurement; transformer windings; fault diagnosis; frequency response

Other keywords: standard deviation; faulty winding diagnosis; correlation coefficient; frequency response measurement; logarithmic error technique; non-intrusive condition monitoring; numerical evaluation technique; power transformer

Subjects: Transformers and reactors; Frequency measurement

References

    1. 1)
      • G. Mcdowell , L. Lockwood . Real time monitoring of movement of transformer winding. IEE Colloquium on ‘Condition monitoring and remanent life assessment in power transformers’ , 1 - 14
    2. 2)
      • Al-Khayat, N., Haydock, L.: `Swept frequency tests for condition monitoring of power transformers', Proc. Elect./Electronics Insul. Conf., 1995, Rosemount, USA, p. 45–47.
    3. 3)
      • Hässig, M., Bräunlich, R.: `Technique and evaluation of FRA measurements on large power transformers', Proc. 13th ISH, 2003, The Netherlands.
    4. 4)
      • Coffeen, L.: `A new objective method for transformer frequency response analysis to determine winding deformation without the use of historical data (the objective winding asymmetry method)', Presentation in IEEE Spring Transformer Committee Meeting, 2002, Vancouver, BC, Canada.
    5. 5)
      • V.B. Vardeman . (1993) Statistics for engineering problem solving.
    6. 6)
      • Wang, M., Vandermaar, A.J., Srivastava, K.D.: `Evaluation of frequency response analysis data', Proc. 12th ISH, August 2001.
    7. 7)
      • M. De Nigris , R. Passaglia , R. Berti , L. Bergonzi , R. Maggi . Applications of modern techniques for the condition assessment of power transformers. CIGRE
    8. 8)
      • Lapworth, J., Mcgrail, T.: `Transformer winding movement detection by frequency response analysis', Proc. 66th Annual Int. Conf. Doble Clients, April 1999, Boston, MA.
    9. 9)
      • E.P. Dick , C.C. Erven . Transformer diagnostic testing by frequency response analysis. IEEE Trans. Power Appl. Syst. , 6 , 2144 - 2153
    10. 10)
      • Zhijian, J., Jingtao, L., Zishu, Z.: `Diagnosis of transformer winding deformation on the basis of artificial neural network', Proc. 6th Int. Conf. Prop. Appl. Dielectric Materials, June 2000, China, p. 173–176.
    11. 11)
      • Ryder, S.A.: `Diagnosing a wide range of transformer faults using frequency response analysis', Proc. 13th ISH, 2003, The Netherlands.
    12. 12)
      • S. Birlasekaran , Y. Xingzhou , F. Fetherstone , R. Abell , R. Middleton . Diagnosis and identification of transformer faults from frequency response data. IEEE Power Eng. Rev. , 2251 - 2253
    13. 13)
      • Stace, M., Islam, S.M.: `Condition monitoring of power transformers in the Australian state of New South Wales using transfer function measurements', Proc. 5th Int. Conf. Prop. Appl. Dielectric Materials, 1997, 1, p. 248–251.
    14. 14)
    15. 15)
      • J.W. Kim , B. Park , S.C. Jeong , S.W. Kim , P. Park . Fault diagnosis of a power transformer using an improved frequency response analysis. IEEE Trans. Power Deliv. , 21 , 169 - 178
    16. 16)
      • S.A. Ryder . Methods of comparing frequency response analysis measurements. Proc. IEEE Int. Symp. Electr. Insul. , 187 - 190
    17. 17)
      • CIGRE SC 12 Transformer Colloquium: Summary on behalf of Study Committee 12, Budapest June 1999.
    18. 18)
      • IEC Publication 60076-5: Power transformers. Part-5: Ability to withstand short circuit 1976.
    19. 19)
      • Nirgude, P.M., Ashokaraju, D., Rajkumar, A.D., Singh, B.P.: `Diagnostic and interpretation of parametric changes for detection of transformer winding deformation', Proc. 7th Int. Conf. Transformers, 2006, Mumbai, India, TRAFOTECH 2006.
    20. 20)
      • K. Feser , J. Christian , C. Neumann , T. Leiberfried , A. Kachler , U. Sundermann , M. Loppaacher . The transfer function method for detection of winding movements on power transformers after transport, short circuit or 30 years of service.
    21. 21)
      • Xu, D.K., Fu, C.Z., Li, L.M.: `Application of artificial neural network to the detection of the transformer winding deformation', Proc. 11th ISH, August 1999.
    22. 22)
    23. 23)
      • Nirgude, P.M., Gunasekaran, B., Rajkumar, A.D., Singh, B.P.: `Sensitivity of frequency responses for detection of winding deformations in transformers', Proc. 13th National Power Syst. Conf. (NPSC), December 2004, India, IIT Chennai.
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