Frequency response analysis (FRA) of transformers as a tool for fault detection and location: A review

Electric Power Systems Research

Volumn 155, Issue , 2018, Pages 172-183

  Khalili Senobari, Reza ^a   Sadeh, Javad ^a   Borsi, Hossein ^a,b  

^a FERDOWSI UNIVERSITY OF MASHHAD   (Iran)

^b LEIBNIZ UNIVERSITY HANNOVER   (Germany)

Author keywords

Condition assessment; Frequency response analysis (FRA); Literature review; Power transformers

Indexed keywords

ELECTRIC NETWORK ANALYSIS; ELECTRIC POWER TRANSMISSION NETWORKS; ELECTRIC TRANSFORMER TESTING; FAULT DETECTION; POWER TRANSFORMERS; QUALITY CONTROL;

CONDITION ASSESSMENTS; ELECTRICAL POWER NETWORKS; FAULT DETECTION AND LOCATION; FAULT DIAGNOSIS TECHNIQUE; FREQUENCY RESPONSE ANALYSES (FRA); FREQUENCY RESPONSE ANALYSIS; LITERATURE REVIEWS; MECHANICAL AND ELECTRICAL;

FREQUENCY RESPONSE;

EID: 85032199864     PISSN: 03787796     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.epsr.2017.10.014     Document Type: Review

References (94)

1. Gockenbach, E., Borsi, H., Condition monitoring and diagnosis of power transformers. ISEIM, Mie, Japan, 2008.
2. Fofana, I., Hadjadj, Y., Electrical-based diagnostic techniques for assessing insulation condition in aged transformers. Energies 9:9 (2016), 679–705.
3. Dick, E.P., Erven, C.C., Transformer diagnostic testing by frequency response analysis. IEEE Trans. Power Appar. Syst. PAS-97:6 (1978), 2144–2153.
4. IEEE Guide for the Application and Interpretation of Frequency Response Analysis for Oil-Immersed Transformers, IEEE C57.149-2012.
5. Frequency Response Analysis on Winding Deformation of Power Transformers, Chinese standard DL/T911-2004.
6. CIGRE Technical Brochure no. 342, Mechanical-Condition Assessment of Transformer Windings using Frequency Response Analysis (FRA). 2008.
7. IEC 60076-18 Edition 1.0 2012-07 Power transformers — Part 18: Measurement of Frequency Response.
8. Predl (OMICRON Australia), F., Interpretation of Sweep Frequency Response Analysis (SFRA) Measurement Results. 2016, OMICRON, Sydney.
9. Arispe, J.C.G., Mombello, E.E., Detection of failures within transformers by FRA using multiresolution decomposition. IEEE Trans. Power Deliv. 29:3 (2014), 1127–1137.
10. Tenbohlen, S., Ryder, S.A., Making frequency response analysis measurements: a comparison of the swept frequency and low voltage impulse methods. XIIIth ISHVE, Rotterdam, Netherlands, 2003.
11. Behjat, V., Vahedi, A., Setayeshmehr, A., Borsi, H., Gockenbach, E., Sweep frequency response analysis for diagnosis of low level short circuit faults on the windings of power transformers: an experimental study. Int. J. Electr. Power Energy Syst. 42 (2012), 78–90.
12. Samimi, M.H., Tenbohlen, S., Akmal, A.A.S., Mohseni, H., Dismissing uncertainties in the FRA interpretation. IEEE Trans. Power Deliv., 2017 (in press).
13. Jayasinghe, J.A.S.B., Wang, Z.D., Jarman, P.N., Darwin, A.W., Winding movement in power transformers: a comparison of FRA measurement connection methods. IEEE Trans. Dielectr. Electr. Insul. 13:6 (2006), 1342–1349.
14. Samimi, M., Tenbohlen, S., Akmal, A., Mohsseni, H., Effect of different connection schemes, terminating resistors and measurement impedances on the sensitivity of the FRA method. IEEE Trans. Power Deliv. 32:4 (2017), 1713–1720.
15. Wang, M., Vandermaa, A.J., Srivastava, K.D., Improved detection of power transformer winding movement by extending the FRA high frequency range. IEEE Trans. Power Deliv. 20:3 (2005), 1930–1938.
16. Ji, T.Y., Tang, W.H., Wu, Q.H., Detection of power transformer winding deformation and variation of measurement connections using a hybrid winding model. Electr. Power Syst. Res. 87 (2012), 39–46.
17. Samimi, M.H., Tenbohlen, S., Akmal, A.A.S., Mohseni, H., Joneidi, I.A., Effect of different terminating resistors on the FRA method sensitivity. PSC, Tehran, Iran, 2015.
18. Sano, T., Miyagi, K., Influence factors on FRA waveforms. CMD, Bali, Indonesia, 2012.
19. Christian, J., Feser, K., Procedures for detecting winding displacements in power transformers by the transfer function method. IEEE Trans. Power Deliv. 19:1 (2004), 214–220.
20. Abeywickrama, N., Serdyuk, Y.V., Gubanski, S.M., Effect of core magnetization on frequency response analysis (FRA) of power transformers. IEEE Trans. Power Deliv. 23:3 (2008), 1432–1438.
21. Gonzalez, C., Pleite, J., Valdivia, V., Sanz, J., An overview of the on line application of frequency response analysis (FRA). IEEE International Symposium on Industrial Electronics, 2007, 1294–1299.
22. Gomez-Luna, E., Mayor, G.A., Gonzalez-Garcia, C., Guerra, J.P., Current status and future trends in frequency-response analysis with a transformer in service. IEEE Trans. Power Deliv. 28:2 (2013), 1024–1031.
23. Karimifard, P., Gharehpetian, G.B., A new algorithm for localization of radial deformation and determination of deformation extent in transformer windings. Electr. Power Syst. Res. 78 (2008), 1701–1711.
24. Karimifard, P., Gharehpetian, G.B., Tenbohlen, S., Localization of winding radial deformation and determination of deformation extent using vector fitting-based estimated transfer function. Eur. Trans. Electr. Power 19 (2009), 749–762.
25. Ragavan, K., Satish, L., Localization of changes in a model winding based on terminal measurements: experimental study. IEEE Trans. Power Deliv. 22:3 (2007), 1557–1565.
26. Satish, L., Sahoo, S.K., Locating faults in a transformer winding: an experimental study. Electr. Power Syst. Res. 79 (2009), 89–97.
27. Zhijian, J., Minglin, Z., Zishu, Z., Fault location of transformer winding deformation using frequency response analysis. ISEIM, Himeji, Japan, 2001.
28. Herrera, W., Aponte, G., Gonzalez-Garcia, C., Pleite, J., Novel procedure for low frequency FRA traces interpretation. XXth ICEM, Marseille, France, 2012.
29. Contin, A., Rabach, G., Borghetto, J., Nigris, M.D., Passaglia, R., Rizzi, G., Frequency response analysis of power transformers by means of fuzzy tools. IEEE Trans. Dielectr. Electr. Insul. 18:3 (2011), 900–909.
30. Bigdeli, M., Vakilian, M., Rahimpour, E., Transformer winding faults classification based on transfer function analysis by support vector machine. IET Electr. Power Appl. 6:5 (2012), 268–276.
31. Bigdeli, M., Vakilian, M., Rahimpour, E., A probabilistic neural network classifier-based method for transformer winding fault identification through its transfer function measurement. Int. Trans. Electr. Energy Syst. 23 (2013), 392–404.
32. Ghanizadeh, A.J., Gharehpetian, G.B., ANN and cross-correlation based features for discrimination between electrical and mechanical defects and their localization in transformer winding. IEEE Trans. Dielectr. Electr. Insul. 21:5 (2014), 2374–2382.
33. Gonzales, J.C., Mombello, E.E., Fault interpretation algorithm using frequency-response analysis of power transformers. IEEE Trans. Power Deliv. 31:3 (2016), 1034–1042.
34. Gonzales, J.C., Mombello, E.E., Diagnosis of power transformers through frequency response analysis by poles and zeros shifts identification. T&D-LA, Montevideo, Uruguay, 2012.
35. Aljohani, O., Abu-Siada, A., Application of digital image processing to detect short circuit turns in power transformers using frequency response analysis. IEEE Trans. Ind. Inf. 12:6 (2016), 2062–2073.
36. Aljohani, O., Abu-Siada, A., Application of DIP to detect power transformers axial displacement and disk space variation using FRA polar plot signature. IEEE Trans. Ind. Inf. 13:4 (2017), 1794–1805.
37. Shintemirov, A., Tang, W.H., Wu, Q.H., Transformer winding condition assessment using frequency response analysis and evidential reasoning. IET Electr. Power Appl. 4:3 (2010), 198–212.
38. Coffeen, L., Britton, J., Rickmann, J., A new technique to detect winding displacements in power transformers using frequency response analysis. IEEE Power Tech Conference, Bologna, Italy, 2004.
39. Fairouz, M., Yousof, M., Ekanayake, C., Saha, T.K., Frequency response analysis to investigate deformation of transformer winding. IEEE Trans. Dielectr. Electr. Insul. 22:4 (2015), 2359–2367.
40. Yousof, M.F.M., Ekanayake, C., Saha, T.K., Locating inter-disc faults in transformer winding using frequency response analysis. AUPEC, Hobart, Tasmania, Australia, 2013.
41. Jadhav, P., A deviation index method to detect winding displacement in power transformer using FRA. CIIT, Mumbai, India, 2013.
42. Pourhossein, K., Gharehpetian, G.B., Rahimpour, E., Araabi, B.N., A probabilistic feature to determine type and extent of winding mechanical defects in power transformers. Electr. Power Syst. Res. 82 (2012), 1–10.
43. Samimi, M.H., Akmal, A.A.S., Mohseni, H., Tenbohlen, S., Detection of transformer mechanical deformations by comparing different FRA connections. Int. J. Electr. Power Energy Syst. 86 (2017), 53–60.
44. Behjat, V., Mahvi, M., Statistical approach for interpretation of power transformers frequency response analysis results. IET Sci. Meas. Technol. 9:3 (2015), 367–375.
45. Nirgude, P.M., Ashokraju, D., Rajkumar, A.D., Singh, B.P., Application of numerical evaluation techniques for interpreting frequency response measurements in power transformers. IET Sci. Meas. Technol. 2:5 (2008), 275–285.
46. Rahimpour, E., Jabbari, M., Tenbohlen, S., Mathematical comparison methods to assess transfer functions of transformers to detect different types of mechanical faults. IEEE Trans. Power Deliv. 25:4 (2010), 2544–2555.
47. Bagheri, M., Naderi, M.S., Blackburn, T., Phung, T., Frequency response analysis and short-circuit impedance measurement in detection of winding deformation within power transformers. IEEE Electr. Insul. Mag. 29:3 (2013), 33–40.
48. Ryder, S.A., Methods for comparing frequency response analysis measurements. ISEI, Boston, Masschusetts, USA, 2002.
49. Kennedy, G.M., McGrail, A.J., Lapworth, J.A., Using cross-correlation coefficients to analyze transformer sweep frequency response analysis (SFRA) traces. PowerAfrica, Johannesburg, South Africa, 2007.
50. Prameela, M., Nirgude, M., Application of numerical techniques to FRA data for diagnosing integrity of transformer windings. CATCON, Bengaluru, India, 2015.
51. Firoozi, H., Shishechian, M., Frequency response analysis-condition assessment of power transformers using mathematical and statistical criteria. ICPADM, Harbin, China, 2009.
52. Samimi, M.H., Tenbohlen, S., Akmal, A.A.S., Mohseni, H., Evaluation of numerical indices for the assessment of transformer frequency response. IET Gener. Transm. Distrib. 11:1 (2017), 218–227.
53. Sant'Ana, W.S., Salomon, C.P., Lambert-Torres, G., Borges da Silva, L.E., Bonaldi, E.L., de Lacerda de Oliveira, L.E., Borges da Silva, J.G., A survey on statistical indexes applied on frequency response analysis of electric machinery and a trend based approach for more reliable results. Electr. Power Syst. Res. 137 (2016), 26–33.
54. Behjat, V., Mahvi, M., Rahimpour, E., New statistical approach to interpret power transformer frequency response analysis: non-parametric statistical methods. IET Sci. Meas. Technol. 10:4 (2016), 364–369.
55. Kim, J., Park, B.K., Jeong, S.C., Kim, S.W., Park, P.G., Fault diagnosis of a power transformer using an improved frequency response analysis. IEEE Trans. Power Deliv. 20:1 (2005), 169–178.
56. Tarimoradi, H., Gharehpetian, G., A novel calculation method of indices to improve classification of transformer winding fault type, location and extent. IEEE Trans. Ind. Inf. 13:4 (2017), 1531–1540.
57. Kornatowski, E., Banaszak, S., Diagnostics of a transformer's active part with complementary FRA and VM measurements. IEEE Trans. Power Deliv. 29:3 (2014), 1398–1406.
58. Banaszak, S., Kornatowski, E., Evaluation of FRA and VM measurements complementarity in the field conditions. IEEE Trans. Power Deliv. 31:5 (2016), 2123–2130.
59. Pham, D.A.K., Pham, T.M.T., Borsi, H., Gockenbach, E., A new method for purposes of failure diagnostics and FRA interpretation applicable to power transformers. IEEE Trans. Dielectr. Electr. Insul. 20:6 (2013), 2026–2034.
60. Pham, D.A.K., Pham, T.M.T., Safari, M.H., Ho, V.N.C., Borsi, H., Gockenbach, E., FRA-based transformer parameters at low frequencies. ICHVE, Shanghai, China, 2012.
61. Pham, D.A.K., Pham, T.M.T., Borsi, H., Gockenbach, E., A new diagnostic method to support standard frequency response analysis assessments for diagnostics of transformer winding mechanical failures. IEEE Electr. Insul. Mag. 30:2 (2014), 34–41.
62. Pham, D.A.K., Gockenbach, E., Analysis of physical transformer circuits for frequency response interpretation and mechanical failure diagnosis. IEEE Trans. Dielectr. Electr. Insul. 23:3 (2016), 1491–1499.
63. Wang, Z., Li, J., Sofian, D.M., Interpretation of transformer FRA responses—Part I: influence of winding structure. IEEE Trans. Power Deliv. 24:2 (2009), 703–710.
64. Yousof, M.F.M., Saha, T.K., Ekanayake, C., Investigating the sensitivity of frequency response analysis on transformer winding structure. PES General Meeting, Washington, USA, 2014.
65. Sofian, D.M., Wang, Z., Li, J., Interpretation of transformer FRA responses—Part II: influence of transformer structure. IEEE Trans. Power Deliv. 25:4 (2010), 2582–2589.
66. Yousof, M.F.M., Ekanayakem, C., Saha, T.K., An investigation on the influence of tap changer on frequency response analysis. ICPADM, Sydney, New South Wales, Australia, 2015.
67. Mitchell, S.D., Welsh, J.S., The influence of complex permeability on the broadband frequency response of a power transformer. IEEE Trans. Power Deliv. 25:2 (2010), 803–813.
68. Reykherdt, A.A., Davydov, V., Case studies of factors influencing frequency response analysis measurements and power transformer diagnostics. IEEE Electr. Insul. Mag. 27:1 (2011), 22–30.
69. Bagheri, M., Phung, B.T., Blackburn, T., Paper moisture variation vs. mechanical deformation impacts on transformer frequency response spectrum. ISEIM, Niigata, Japan, 2014.
70. Bagheri, M., Phung, B.T., Blackburn, T., Influence of temperature and moisture content on frequency response analysis of transformer winding. IEEE Trans. Dielectr. Electr. Insul. 21:3 (2014), 1393–1404.
71. Bagheri, B.T., Blackburn, T., Naderian, A., Influence of temperature on frequency response analysis of transformer winding. EIC, Ottawa, Canada, 2013.
72. Bagheri, M., Phung, B.T., Blackburn, T., Temperature influence on FRA spectrum of oilfilled and oil-free single-phase transformer. ICPADM, Sydney, New South Wales, Australia, 2015.
73. Abu-Siada, N., Islam, S., Masoum, M.A.S., Understanding power transformer frequency response analysis signatures. IEEE Electr. Insul. Mag. 29:3 (2013), 48–56.
74. Hashemnia, N., Abu-Siada, A., Masoum, M.A.S., Islam, S.M., Characterization of transformer FRA signature under various winding faults. CMD, Bali, Indonesia, 2012.
75. Hashemnia, N., Abu-Siada, A., Islam, S., Improved power transformer winding fault detection using FRA diagnostics—Part 2: radial deformation simulation. IEEE Trans. Dielectr. Electr. Insul. 22:1 (2015), 564–570.
76. Rahimpour, E., Christian, J., Feser, K., Mohseni, H., Transfer function method to diagnose axial displacement and radial deformation of transformer windings. IEEE Trans. Power Deliv. 18:2 (2003), 493–505.
77. Amini, A., Das, N., Islam, S., Impact of buckling deformation on the FRA signature of power transformer. AUPEC, Hobart, Tasmania, Australia, 2013.
78. Li, Y., Liu, G., Zhang, L., Zhang, L., Lin, Z., Transformer winding deformation diagnosis using middle band frequency response analysis. ICSD, Winchester, United Kingdom, 2007.
79. Hashemnia, N., Abu-Siada, A., Islam, S., Improved power transformer winding fault detection using FRA diagnostics—Part 1: axial displacement simulation. IEEE Trans. Dielectr. Electr. Insul. 22:1 (2015), 556–563.
80. Hashemnia, N., Abu-Siada, A., Islam, S., Impact of axial displacement on power transformer FRA signature. PES, Vancouver, Canada, 2013.
81. Jayasinghe, J.A.S.B., Wang, Z.D., Jar, P.N., Darwin, A.W., Investigations on sensitivity of FRA technique in diagnosis of transformer winding deformations. ISEI, Indianapolis, 2004.
82. Sathya, M.A., Thomas, A.J., Usa, S., Prediction of transformer winding displacement from frequency response characteristics. CATCON, Kolkata, India, 2013.
83. Lei, X., Li, J., Wang, Y., Mi, S., Xiang, C., Simulative and experimental investigation of transfer function of inter-turn faults in transformer windings. Electr. Power Syst. Res. 107 (2014), 1–8.
84. Pandya, A.A., Parekh, B.R., Interpretation of sweep frequency response analysis (SFRA) traces for the open circuit and short circuit winding fault damages of the power transformer. Int. J. Electr. Power Energy Syst. 62 (2014), 890–896.
85. Khanali, M., Hayati-Soloot, A., Høidalen, H.K., Jayaram, S., Study on locating transformer internal faults using sweep frequency response analysis. Electr. Power Syst. Res. 142 (2017), 55–62.
86. Investigations on sensitivity of FRA method in diagnosis of interturn faults in transformer winding. ISIE, Gdańsk, Poland, 2011.
87. Hashemnia, N., Abu-Siada, A., Islam, S., Detection of power transformer bushing faults and oil degradation using frequency response analysis. IEEE Trans. Dielectr. Electr. Insul. 23:1 (2016), 222–229.
88. Yousof, M.F.M., Ekanayake, C., Saha, T.K., Examining the ageing of transformer insulation using FRA and FDS techniques. IEEE Trans. Dielectr. Electr. Insul. 22:2 (2015), 1258–1265.
89. Aljohani, O.M., Abu-siada, A., Impact of power transformer insulating mineral oil degradation on FRA polar plot. ISIE, Rio de Janeiro, Brazil, 2015.
90. Ghani, S.A., Thayoob, Y.H.M., Ghazali, Y.Z.Y., Khiar, M.S.A., Chairul, I.S., Condition monitoring of distribution transformer's mechanical parts using sweep frequency response analysis (SFRA). MITC, Kota Kinabalu, Malaysia, 2013.
91. Pleite, J., González, C., Vázquez, J., Lázaro, A., Power transfomer core fault diagnosis using frequency response analysis. MELECON, Benalmádena, Spain, 2006.
92. Abeywickrama, K.G.N.B., Serdyuk, Y.V., Gubanski, S.M., Exploring possibilities for characterization of power transformer insulation by frequency response analysis (FRA). IEEE Trans. Power Deliv. 21:3 (2006), 1375–1382.
93. Samimi, M.H., Tenbohlen, S., Using the temperature dependency of the FRA to evaluate the pressure of the transformer press ring. IEEE Trans. Power Deliv., 2017 (in press).
94. Aljohani, O., Abu-siada, A., Identification of the minimum detection of transformer bushing failure based on frequency response analysis (FRA). SPEC, Auckland, New Zealand, 2016.