Commenced in January 2007
Paper Count: 30379
High Impedance Faults Detection Technique Based on Wavelet Transform
Abstract:The purpose of this paper is to solve the problem of protecting aerial lines from high impedance faults (HIFs) in distribution systems. This investigation successfully applies 3I0 zero sequence current to solve HIF problems. The feature extraction system based on discrete wavelet transform (DWT) and the feature identification technique found on statistical confidence are then applied to discriminate effectively between the HIFs and the switch operations. Based on continuous wavelet transform (CWT) pattern recognition of HIFs is proposed, also. Staged fault testing results demonstrate that the proposed wavelet based algorithm is feasible performance well.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1057515Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1795
 H. Calhoun, M. T. Bishop, C. H. Eichler, and R. E. Lee, "Development and testing of an electro-mechanical relay to detect fallen distribution conductors," IEEE Trans. Power Apparatus and Systems, vol. PAS-101, no. 6, pp. 1643-1650, June 1982.
 A. M. Sharaf and S. I. Abu-Azab, "A smart relaying scheme for high impedance faults in distribution and utilization networks," in Proc. Of the Canadian Conf. on Electrical and Computer Engineering, vol. 2, 7-10, pp. 740-744, March 2000.
 Hughes Aircraft Company, "High Impedance Fault Detection using Third Harmonic Current," EPRI Research Project 1285-2, Final Report EL-2430, June 1982.
 "Detection of High Impedance Faults," EPRI Report EL-2413, prepared by Power Technologies, Inc. June 1982.
 B. M. Aucoin and B. D. Russell, "Distribution high impedance fault detection using high frequency current components," IEEE Trans. Power Apparatus system, vol. PAS-101, no. 6, pp1596-1606, June 1982.
 B. D. Russell and R. P. Chinchali, "A digital signal processing algorithm for detecting arcing faults on power distribution feeders," IEEE Trans. Power Delivery, vol. 4, no. 1, pp. 132-140, January 1989.
 W. H. Kwon et al, "High Impedance Fault Detection Utilizing Incremental Variance of Normalized Even Order Harmonic Power," in Proc. IEEE/PES 1990 Summer Meeting, Paper No. 90 SM 349-1, July 15-19, 1990.
 A. F. Sultan, G. W. Swift and D. J. Fedirchuk, "Detecting Arcing Downed-Wires Using Fault Current Flicker and Half-Cycle Asymmetry," IEEE Trans. on Power Delivery, Vol. 9 No. 1, pp. 461-470, 1994.
 A. Lazkano, J. Ruiz, E. Aramendi, and L. A. Leturiondo, "A new approach to high impedance fault detection using wavelet packet analysis," in Proc. IEEE 2000 Int. Conf. on Harmonics and Quality of Power, pp. 1005-1010, 2000.
 D. C. T. Wai and X. Yibin, "A novel technique for high impedance fault identification," IEEE Trans. Power Delivery, vol. 13, no. 3, pp. 738-744, July 1998.
 O. A. S. Youssef, "A wavelet-based technique for discrimination between faults and magnetizing inrush currents in transformers," IEEE Trans. Power Delivery, vol. 18, no. 1, pp. 170-176, Nov. 2003.
 D. C. Montgomery and G. C. Runger, Applied Statistics and Probability for Engineers, New York: John Wiley & Sons, 2003, ch. 8.
 Ming-Ta Yang, Jhy-Cherng Gu, Jin-Lung Guan and Chau-Yuan Cheng, "Evaluation of algorithms for high impedance faults identification based on staged fault tests," in Proc. IEEE/PES 2006 General Meeting, pp. 1-8, June 18-22, 2006.