High-impedance fault detection using discrete wavelet transform and frequency range and RMS conversion

IEEE Transactions on Power Delivery

Volumn 20, Issue 1, 2005, Pages 397-407

  Lai, T M ^a   Snider, L A ^a   Lo, E ^a   Sutanto, D ^a  

^a HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

High impedance faults (HIFs); Pattern recognition; Wavelet transform

Indexed keywords

COMPUTER SIMULATION; ELECTRIC ARCS; ELECTRIC CURRENT MEASUREMENT; ELECTRIC IMPEDANCE; ELECTRIC POWER DISTRIBUTION; ELECTRIC POWER SYSTEM PROTECTION; FREQUENCIES; MATHEMATICAL MODELS; PATTERN RECOGNITION; VOLTAGE MEASUREMENT; WAVELET TRANSFORMS;

DISCRETE WAVELET TRANSFORM; FAULT DETECTION; FREQUENCY RANGE; HIGH IMPEDANCE FAULTS (HIFS); MULTIRESOLUTION ANALYSIS;

ELECTRIC FAULT CURRENTS;

EID: 12544253379     PISSN: 08858977     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPWRD.2004.837836     Document Type: Article

References (23)

1. S. J. Huang and C. T. Hsieh, "High-impedance fault detection utilizing a Morlet wavelet transform approach," IEEE Trans. Power Del., vol. 14, no. 4, pp. 1401-1410, Oct. 1999.
2. Detection of Downed Conductors on Utility Distribution Systems, 1989. IEEE Tutorial Course Text, no. 90EH0310-3-PWR.
3. B. D. Russell and C. L. Benner, "Analysis of high impedance faults using fractal techniques," IEEE Trans. lnd. Applicat., vol. 33, no. 3, pp. 635-640, May/Jun. 1997.
4. A. A. Girgas, W. Chang, and E. B. Makram, "Analysis of high-impedance fault generated signals using a Kalman filtering approach," IEEE Trans. Power Del., vol. 5, no. 4, pp. 1714-1724, Oct. 1990.
5. C. J. Kim and B. D. Russell, "Analysis of distribution disturbances and Arcing faults using the crest factor," Elect. Power Syst. Res., vol. 35, pp. 141-148, 1995.
6. D. T. W. Chan and X. Yibin, "A novel technique for high impedance fault identification," IEEE Trans. Power Del., vol. 13, no. 3, pp. 738-744, Jul. 1998.
7. B. M. Aucoin and B. D. Russell, "Detection of distribution high impedance faults using burst noise signals near 60 Hz," IEEE Trans. Power Del., vol. PWRD-2, no. 2, pp. 342-348, Apr. 1987.
8. D. I. Jeerings and J. R. Linders, "A practical protective relay for down-conductor faults," IEEE Trans. Power Del., vol. 6, no. 2, pp. 565-574. Apr. 1991.
9. C. J. Kim and B. D. Russell, "Classification of faults and switching events by inductive reasoning and expert system methodology," IEEE Trans. Power Del., vol. 4, no. 3, pp. 1631-1637, Jul. 1989.
10. B. D. Russell and C. L. Bennet, "Arcing fault detection for distribution feeders: Security assessment in long term field trials," IEEE Trans. Power Del., vol. 10, no. 2, pp. 676-683, Apr. 1995.
11. S. Ebron, D. L. Lubkeman, and M. White, "A neural network approach to the detection of incipient faults on power distribution feeders," IEEE Trans. Power Del., vol. 5, no. 2, pp. 905-914, Apr. 1990.
12. L. A. Snider and Y. S. Yuen, "The artificial neural networks based relay for the detection of stochastic high impedance faults," Neuroeomput., vol. 23, pp. 243-254, 1998.
13. A. M. Sharaf, L. A. Snider, and K. Debnath, "A neural network based relaying scheme for distribution system high impedance fault detection," in Proc. 1st New Zealand Int. Two-Stream Conf Artificial Neural Networks Expert Systems, 1993, pp. 321-324.
14. T. A. Short, J. R. Stewart, D. R. Smith, J. O'Brien, and K. Hampton, "Five-wire distribution system demonstration project," IEEE Trans. Power Del., vol. 17, no. 2, pp. 649-654, Apr. 2002.
15. D. J. Ward, J. E. Buch, T. M. Kulas, and W. J. Ros, "An analysis of the five-wire distribution system," IEEE Trans. Power Del., vol. 18, no. 1, pp. 295-299, Jan. 2003.
16. J. Tengdin, R. Westfall, and K. Stephan, "High Impedance Fault Detection Technology," PSRC Working Group Members, Rep. PSRC Working Group Dl5.
17. I. Daubechies, Ten Lectures on Wavelets. Philadelphia, PA: Soc. Industrial Appl. Math., 1992.
18. G. Strang and T. Nguyen, Wavelets and Filter Banks. Cambridge, MA: Wellesley-Cambridge, 1996.
19. C. S. Burrus, R. A. Gopinath, and H. Guo, Introduction to Wavelets and Wavelet Transform: A Primer. Englewood Cliffs, NJ: Prentice-Hall, 1998.
20. S. G. Mallat, "A theory for multiresolution signal decomposition: The wavelet representation," IEEE Trans. Pattern Anal. Mach. Intelt., vol. 11, no. 7, pp. 674-693, Jul. 1989.
21. A. E. Emanuel, D. Cyganski, J. A. Orr, S. Shiller, and E. M. Gulachenski, "High impedance fault arcing on sandy soil in 15 kV distribution feeders: Contributions to the evaluation of the low frequency spectrum," IEEE Trans. Power Del., vol, 5. no, 2. pp. 676-686, Apr. 1990.
22. M. Nadler and E. P. Smith, Pattern Recognition Engineering. New York: Wiley, 1993.
23. R. O. Duda, P. E. Hart, and D. G. Stoke, Pattern Classification. New York: Wiley, 2001.