Open Science Research Excellence

Open Science Index

Commenced in January 2007 Frequency: Monthly Edition: International Publications Count: 29522

Select areas to restrict search in scientific publication database:
High Impedance Fault Detection using LVQ Neural Networks
This paper presents a new method to detect high impedance faults in radial distribution systems. Magnitudes of third and fifth harmonic components of voltages and currents are used as a feature vector for fault discrimination. The proposed methodology uses a learning vector quantization (LVQ) neural network as a classifier for identifying high impedance arc-type faults. The network learns from the data obtained from simulation of a simple radial system under different fault and system conditions. Compared to a feed-forward neural network, a properly tuned LVQ network gives quicker response.
Digital Object Identifier (DOI):


[1] "High impedance fault detection technology," Report of PSRC working group D15, Mar. 1996.
[2] A.-R. Sedighi, M.-R. Haghifam, O. P. Malik, and M.-H. Ghassemian, "High impedance fault detection based on wavelet transform and statistical pattern recognition," IEEE Trans. Power Delivery, vol. 20, no. 4, pp. 2414-2421, Oct. 2005.
[3] M. Aucoin, "Status of high impedance fault detection," IEEE Trans. PAS, vol. 104, no. 3, pp. 638-644, Mar. 1985.
[4] A. V. Mamishev, B. D. Russell, and C. L. Benner, "Analysis of high impedance faults using fractal techniques," in: IEEE Power Industry Computer Application Conf., 1995, pp. 401-406.
[5] C. J. Kim and B. D. Russell, "Classification of faults and switching events by inductive reasoning and expert system methodology," IEEE Trans. Power Deliv. 4 (July (3)) (1989) pp. 1631-1637.
[6] 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 Deliv. 5 (April (2)) (1990) pp. 905-914.
[7] L. A. Snider and Y. S. Yuen, "The artificial neural networks based relay for the detection of stochastic high impedance faults," Neurocomputing 23 (1998) pp. 243-254.
[8] A. M. Sharaf, L. A. Snider, and K. Debnath, "A neural network based relaying scheme for distribution system high impedance fault detection," in: Proc. First New Zealand Int. Two-Stream Conf. Artificial Neural Networks and Expert Systems, 1993, pp. 321-324.
[9] B. M. Aucoin and B. D. Russell, "Detection of distribution high impedance faults using burst noise signals near 60 Hz," IEEE Trans. Power Deliv. 2 (April (2)) (1987) pp. 342-348.
[10] D. I. Jeerings and J. R. Linders, "A practical protective relay for downconductor faults," IEEE Trans. Power Deliv. 6 (April (2)) (1991) 565- 574.
[11] A. A. Girgas, W. Chang, and E. B. Makram, "Analysis of highimpedance fault generated signals using a Kalman Filtering Approach," IEEE Trans. Power Deliv. 5 (October (4)) (1990) pp. 1714-1724.
[12] T. M. Lai, L. A. Snider, and E. Lo, "Wavelet transform based relay algorithm for detection of stochastic high impedance faults," Electrical Power System Research, 76 (2006) pp. 626-633.
[13] 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 Deliv. 5 (April (2)) (1990) pp. 676-686.
[14] A. M. Sharaf and G. Wang, "High impedance fault detection using feature-pattern based relaying," Transmission and Distribution Conf. and Exposition, 2003 IEEE PES, vol. 1, 7-12 Sept. 2003, pp. 222 - 226.
[15] M. H. Hassoun, Fundamentals of Artificial Neural Networks, MIT PRESS, 1996.
[16] Gray, R.M., "Vector quantization," IEEE Acoustic, Speech, and Signal Processing Magazine, 1, pp. 4-29, 1984.
[17] T. Kohonen, Self-Organizing Maps, Springer, Berlin, 1995.
Vol:13 No:04 2019Vol:13 No:03 2019Vol:13 No:02 2019Vol:13 No:01 2019
Vol:12 No:12 2018Vol:12 No:11 2018Vol:12 No:10 2018Vol:12 No:09 2018Vol:12 No:08 2018Vol:12 No:07 2018Vol:12 No:06 2018Vol:12 No:05 2018Vol:12 No:04 2018Vol:12 No:03 2018Vol:12 No:02 2018Vol:12 No:01 2018
Vol:11 No:12 2017Vol:11 No:11 2017Vol:11 No:10 2017Vol:11 No:09 2017Vol:11 No:08 2017Vol:11 No:07 2017Vol:11 No:06 2017Vol:11 No:05 2017Vol:11 No:04 2017Vol:11 No:03 2017Vol:11 No:02 2017Vol:11 No:01 2017
Vol:10 No:12 2016Vol:10 No:11 2016Vol:10 No:10 2016Vol:10 No:09 2016Vol:10 No:08 2016Vol:10 No:07 2016Vol:10 No:06 2016Vol:10 No:05 2016Vol:10 No:04 2016Vol:10 No:03 2016Vol:10 No:02 2016Vol:10 No:01 2016
Vol:9 No:12 2015Vol:9 No:11 2015Vol:9 No:10 2015Vol:9 No:09 2015Vol:9 No:08 2015Vol:9 No:07 2015Vol:9 No:06 2015Vol:9 No:05 2015Vol:9 No:04 2015Vol:9 No:03 2015Vol:9 No:02 2015Vol:9 No:01 2015
Vol:8 No:12 2014Vol:8 No:11 2014Vol:8 No:10 2014Vol:8 No:09 2014Vol:8 No:08 2014Vol:8 No:07 2014Vol:8 No:06 2014Vol:8 No:05 2014Vol:8 No:04 2014Vol:8 No:03 2014Vol:8 No:02 2014Vol:8 No:01 2014
Vol:7 No:12 2013Vol:7 No:11 2013Vol:7 No:10 2013Vol:7 No:09 2013Vol:7 No:08 2013Vol:7 No:07 2013Vol:7 No:06 2013Vol:7 No:05 2013Vol:7 No:04 2013Vol:7 No:03 2013Vol:7 No:02 2013Vol:7 No:01 2013
Vol:6 No:12 2012Vol:6 No:11 2012Vol:6 No:10 2012Vol:6 No:09 2012Vol:6 No:08 2012Vol:6 No:07 2012Vol:6 No:06 2012Vol:6 No:05 2012Vol:6 No:04 2012Vol:6 No:03 2012Vol:6 No:02 2012Vol:6 No:01 2012
Vol:5 No:12 2011Vol:5 No:11 2011Vol:5 No:10 2011Vol:5 No:09 2011Vol:5 No:08 2011Vol:5 No:07 2011Vol:5 No:06 2011Vol:5 No:05 2011Vol:5 No:04 2011Vol:5 No:03 2011Vol:5 No:02 2011Vol:5 No:01 2011
Vol:4 No:12 2010Vol:4 No:11 2010Vol:4 No:10 2010Vol:4 No:09 2010Vol:4 No:08 2010Vol:4 No:07 2010Vol:4 No:06 2010Vol:4 No:05 2010Vol:4 No:04 2010Vol:4 No:03 2010Vol:4 No:02 2010Vol:4 No:01 2010
Vol:3 No:12 2009Vol:3 No:11 2009Vol:3 No:10 2009Vol:3 No:09 2009Vol:3 No:08 2009Vol:3 No:07 2009Vol:3 No:06 2009Vol:3 No:05 2009Vol:3 No:04 2009Vol:3 No:03 2009Vol:3 No:02 2009Vol:3 No:01 2009
Vol:2 No:12 2008Vol:2 No:11 2008Vol:2 No:10 2008Vol:2 No:09 2008Vol:2 No:08 2008Vol:2 No:07 2008Vol:2 No:06 2008Vol:2 No:05 2008Vol:2 No:04 2008Vol:2 No:03 2008Vol:2 No:02 2008Vol:2 No:01 2008
Vol:1 No:12 2007Vol:1 No:11 2007Vol:1 No:10 2007Vol:1 No:09 2007Vol:1 No:08 2007Vol:1 No:07 2007Vol:1 No:06 2007Vol:1 No:05 2007Vol:1 No:04 2007Vol:1 No:03 2007Vol:1 No:02 2007Vol:1 No:01 2007