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High Impedance Faults Detection Technique Based on Wavelet Transform
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.
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[1] 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.
[2] 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.
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[9] 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.
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[13] 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.
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