http://iet.metastore.ingenta.com
1887

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

For access to this article, please select a purchase option:

Buy article PDF
$19.95
(plus tax if applicable)
Buy Knowledge Pack
10 articles for $120.00
(plus taxes if applicable)

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Name:*
Email:*
Your details
Name:*
Email:*
Department:*
Why are you recommending this title?
Select reason:
 
 
 
 
 
IET Science, Measurement & Technology — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

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.

References

    1. 1)
      • E.P. Dick , C.C. Erven . Transformer diagnostic testing by frequency response analysis. IEEE Trans. Power Appl. Syst. , 6 , 2144 - 2153
    2. 2)
      • Lapworth, J., Mcgrail, T.: `Transformer winding movement detection by frequency response analysis', Proc. 66th Annual Int. Conf. Doble Clients, April 1999, Boston, MA.
    3. 3)
      • 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
    4. 4)
      • IEC Publication 60076-5: Power transformers. Part-5: Ability to withstand short circuit 1976.
    5. 5)
      • 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.
    6. 6)
      • 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.
    7. 7)
      • Hässig, M., Bräunlich, R.: `Technique and evaluation of FRA measurements on large power transformers', Proc. 13th ISH, 2003, The Netherlands.
    8. 8)
      • Ryder, S.A.: `Diagnosing a wide range of transformer faults using frequency response analysis', Proc. 13th ISH, 2003, The Netherlands.
    9. 9)
      • 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.
    10. 10)
    11. 11)
    12. 12)
      • S.A. Ryder . Methods of comparing frequency response analysis measurements. Proc. IEEE Int. Symp. Electr. Insul. , 187 - 190
    13. 13)
      • CIGRE SC 12 Transformer Colloquium: Summary on behalf of Study Committee 12, Budapest June 1999.
    14. 14)
      • 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.
    15. 15)
      • 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
    16. 16)
      • 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.
    17. 17)
      • 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.
    18. 18)
      • Wang, M., Vandermaar, A.J., Srivastava, K.D.: `Evaluation of frequency response analysis data', Proc. 12th ISH, August 2001.
    19. 19)
      • 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.
    20. 20)
      • M. De Nigris , R. Passaglia , R. Berti , L. Bergonzi , R. Maggi . Applications of modern techniques for the condition assessment of power transformers. CIGRE
    21. 21)
      • 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
    22. 22)
      • 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.
    23. 23)
      • V.B. Vardeman . (1993) Statistics for engineering problem solving.
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-smt_20070072
Loading

Related content

content/journals/10.1049/iet-smt_20070072
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address