Wavelet Detection of Partial Discharges in High Voltage Cables
Subject Areas : electrical and computer engineering
B.
Badrzadeh
1
S. M.
Shahrtash
2
(University of Science and Technology)
Keywords: Partial dischargeswavelet analysisfault detectionon-line analysisdigital signal processing,
Abstract :
This paper has proposed an on-line method of partial discharges (PDs) detection. Fundamental difficulty in PD measurement is that PD signal is so minute that can be easily contaminated by huge amount of noise and this makes PD detection rather obscure. Thus, noise reduction algorithms have been extensively deployed to mitigate the noise. Among which, Digital Signal Processing (DSP) techniques are becoming more and more applicable. Compared by linear predictor and Least Mean Square (LMS), a wavelet-based noise reduction algorithm has been utilised. Some significant considerations in wavelet denoising such as selection of level of decomposition and reconstruction, mother wavelets, methods of signal extension,thresholding criterion have been discussed deeply. In order to prove the effectiveness of our algorithm, real data extracted from an 11 kV cable has been used
[1] I. Shim, J. J. Soraghan, and W. H. Siew "Digital signal processing applied to the detection of partial discharge: An Overview," IEEE Electrical Insulation Magazine, vol. 16, no. 3, pp. 6-12, May/Jun. 2000.
[2] I. Shim, J. J. Soraghan, and W. H. Siew, "Detection of PD utilizing digital signal processing methods, part3: open loop noise reduction," IEEE Electrical Insulation Magazine, vol. 17, no. 1, pp 6-13,Jan./Feb. 2001.
[3] I. Shim, J. J. Soraghan, W. H. Siew, F. McPherson, and K. Sludden, "Robust partial discharge measurement in MV cable networks using discrete wavelet transform," IEEE Power Engineering Society Winter meeting, vol. 1, pp. 718-723, 2000.
[4] R. Bartnikas and K. D. Srivastava, Power and Communication Cables, Theory and Applications, Wiley, 2000.
[5] R. Villefrance, Mobile System for Assessment of AC High Voltage Cables, Ph. D. thesis, Technical University of Denmark, Feb. 2000. 1. Least-Mean Square
[6] B. Oyegoke, P. Hyvinen, and M. Aro, "Partial discharge measurement as diagnostic tool for power cable systems," Helsinki University of Technology, High Voltage Institute, Report TKK-SJT-45, 2001.
[7] S. Boggs, A. Pathak, and P. Walker, "Partial discharge XXII: High frequency attenuation in shielded solid dielectric power cable and implications thereof for PD location," IEEE Electrical Insulation Magazine, vol. 12, no. 1, pp. 9-16, Jan./Feb. 1996.
[8] D. Pommerenke, T. Strehl,R.Heinrich, W. Kalkner, F. Schmidt, and W. Weibenberg, " Discrimination between PD and other pulses using directional coupling sensors on HV cable systems," IEEE Trans. On Dielectrics and Electrical Insulation, vol. 6, no. 6, pp. 814-824, Dec. 1999.
[9] U. Schichler, H. Borsi, and E.Gockenbach, "Application of digital filter for on-site partial discharge detection on high voltage cables," in Proc. 4th IEEE Int. Conf. on Properties and Applications of Dielectric Materials, Brisbane, Australia, Jul. 1994.
[10] H. Borsi, "Digital location of partial discharges in HV cables," IEEE Trans. on Electrical Insulation, vol. 27, no. 1, pp. 28-36, Feb. 1992.
[11] J. P. Steiner and P. H. Reynolds, "Estimating the location of partial discharges in cables," IEEE Trans on Electrical Insulation, vol. 27, no. 1, pp. 44-59, Feb. 1992.
[12] W. Xiaorang, G. Zungjun, S. Yong, and Y. Zhang, "Extraction of partial discharge pulse via wavelet shrinkage," in Proc. IEEE 6th Int. Conf. on Properties and Applications of Dielectric Materials, vol. 2, pp. 685-688, China, Jun. 2000.
[13] Y. Yasuda, J. Matsura, T. Hara, and C. Min, "Application of FWT (Fast Wavelet Transform) for auto-detection system of partial discharge in power cables," IEE High Voltage EngineeringSymposium, Aug. 1999.
[14] E. Carminati and M. Lazzaroni, "Analysis of PD signal by wavelet transform," IEEE Instrumentation and Measurement Technology Conf. , vol. 2, pp. 1081-1085, 2000.
[15] H. Mingyou, H. Xie, T. Tiong, and X. Wu, "Study on a spatially selective noise filtration technique for suppressing noises in partial discharge on-line monitoring," in Proc. 6th Int. Conf. on Properties and Applications of Dielectric Materials, Jun. 2000.
[16] K. Arii, M. Shibahara, and M. Fujii, "Seperation of noise from partial discharge signal by using wavelet, " in Proc. IEEE 5th Int. Conf. on Properties and Applications of Dielectric Materials, Seoul,Korea, May 1997.
[17] X. Shuzhen and Z. Z. Chenchen, "Application of signal-adapted wavelet to detection of PD," in Proc IEEE. 6th Int. Conf. on Properties and Applications of Dielectric Materials, pp. 757-760, China, Jun. 2000.
[18] X. D. Ma, C. Zhou, and L. J. Kemp,"DSP based partial discharge characterization by wavelet analysis," in Proc. IEEE 19th Int. Symposium on Discharges and Electrical Insulation in Vacuums, pp.780-784, 2000.
[19] X. D. Ma, C. Zhou, and L. J. Kemp, "Investigation into the use of wavelet theory for partial discharge pulse extraction in electrically noise enviroment," in Proc. IEE Dielectric Materials, Measurements and Application, pp. 123-126, 2000.
[20] Y. Quan. N. Gao, and G. Zhang. Z. Yan, "Wavelet transform in partial discharge measurement," in Proc. IEEE Int. Symposium on Electrical Insulation, pp. 428-431, Virginia, US, Jun. 1998.
[21] J. K. Jnag, S -H. Kim, and Y -S. Lee. J. H. Kim, "Classification of partial discharge electrical signal using wavelet transform," in Proc. IEEE 13th Int. Conf. on Dielectric Materials’, pp. 552-55, Nira,Japan, Jun. 1999.
[22] X. D. Ma, C. Zhou, and L. J. Kemp, "Interpretation of wavelet Detection and its application in Partail Discharge Detection," IEEE Trans. on Dielectric Elec. Insul., vol. 9, no. 3, pp. 446-457,Jun. 2002.
[23] E. Tungkanawanich, Y. Hamid, Z-L.Kawasaki, and K. Matsuura, "Analysis of VHF-wideband electromagnetic noises from partial discharge using discrete wavelet transform," IEEE PES Winter Meeting, vol. 1, pp. 263-268, 2001.
[24] Wavelet Toolbox for Using with MATLAB, Mathworks® Inc., 2000.
[25 ] بابك بدرزاده، شناسايي و مكان يابي تخليه جزيي در كابلهاي قدرت با استفاده از فيلترهاي وفقي و تبديل ويولت، پايا ن نامه كارشناسي ارشد مهندسي قدرت،. دانشكده مهندسي برق، دانشگاه علم و صنعت ايران، ارديبهشت 1381.