Development of Fault Location Method Using SWT and Travelling Wave on Underground Power Cable Systems

SWT와 진행파를 이용한 지중송전계통 고장점 추정 기법 개발

  • 정채균 (한전 전력연구원) ;
  • 이종범 (원광대 공대 전기전자 및 정보공학부)
  • Published : 2008.02.01


The fault location algorithm based on stationary wavelet transform was developed to locate the fault point more accurately. The stationary wavelet transform(SWT) was introduced instead of conventional discrete wavelet transform(DWT) because SWT has redundancy properties which is more useful in noise signal processing. In previous paper, noise cancellation technique based on the correlation of wavelet coefficients at multi-scales was introduced, and the efficiency was also proved in full. In this paper, fault section discrimination and fault location algorithm using noise cancellation technique were tested by ATP simulation on real power cable systems. From these results, the fault can be located even in very difficult and complicated situations such as different inception angle and fault resistance.


  1. A. Abur, F. H. Magnago, "Use of Time Delays between Modal Components in Wavelet base Fault Location", Electrical Power and Energy Systems, No. 22, 2000
  2. W. Zhao, Y. H. Song, Y. Min, "Wavelet analysis based scheme for fault detection and classification in underground power cable system", Electric Power System Research 53(2000) 23-50
  3. Styvaktakis, E., Bollen, M.H.J., Gu, I.Y.H., "A Fault Location Technique Using High Frequency Fault Clearing Transients", IEEE Power Engineering Review , Vol. 19 Issue 5 , pp. 50-60, 1999. 5
  4. L. Shang, G. Herold, J. Jaeger, "A New Approach to High-Speed Protection for Transmission Line Based on Transient Signal Analysis Using Wavelets", Development in Power System Protection, Conference Publication, No. 479, 2001
  5. F. H. Magnago, A. Abur, "Fault Location Using Wavelets", IEEE Transactions on Power Delivery , Vol. 13 Issue 4 , 1998. 10
  6. Kai Steinbrich, "Attenuation Behaviour of Single-core Power Cables", CIGRE-WG B1-05 session 20.06.03
  7. 정채균, 이종범, "웨이브렛을 이용한 지중송전계통 고장 검출 및 노이즈 제거 알고리즘 개발" 대한전기학회 논문지 제 56권 7호, 2007. 7
  8. The Math Works, "Wavelet Toolbox For Use with User's Guide Version 3, 2004
  9. X. H. Wang, R. S. H. Istepanian, Y. H. Song, "Microarray Image De-Noising Using Stationary Wavelet Transform", Proc. of the 4th IEEE Conf. on Information Technology Applications, 2003
  10. X. H. Wang, "Characterization, detection and location of sheath fault on underground power transmission cables", PhD Thesis, Department of Electronic and Computer Engineering. Brunel University: London. 2001