High Impedance Fault Identification Method of Distribution Networks

Abstract:

Abstract. High impedance fault has always been difficult for distribution network fault identification due to its unobvious fault signature and difficult detection. This paper decomposed the transient signal in multi-scale by utilizing the good localization performance of the wavelet in both time domain and frequency domain, reconstructed the wavelet coefficients under each scale, took the wavelet reconstruction coefficient which was under the scale 3, calculated the size spectrum of each feeder line in timing floating window and identified the circuits in which the faults lined according to the value of the size spectrum. The high impedance fault simulation system was built based upon the study of the various transient signals in power systems, and the high impedance fault simulation analysis of the distribution feeder was undertaken through PSCAD simulation platform using high impedance fault model. Simulation analysis showed that the method could effectively extract the feature of high impedance fault on high impedance fault identification.

• Periodical: Advanced Materials Research (Volumes 516-517)
• Pages: 1785-1790
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.516-517.1785
• Online since: May 2012
• Authors: Yong Huang, Min You Chen, Jin Qian Zhai, Hong Yan
• Keywords: Discrete Wavelet Transform (DWT), Distribution Network, Fault Mode, High-Impedance Fault, Transients Signal

References

[1] Keng.Yu.Lien, ShiLin.Chen, ChingJung.Liao, Tzongyin.Guo, Tsair. Ming.Lin, Jer.Shen. Energy Variance Criterion and Threshold Tuning Scheme for High Impedance Fault Detection[J]. IEEE Transaction on Power Delivery, 1999, 14(3): 810-817.

DOI: 10.1109/61.772319

[2] David. Chan, Xia.YiBin. A Novel Technique for High Impedance Fault Identification [J]. IEEE Transactions on Power Delivery, 1998, 13(3): 738-744.

DOI: 10.1109/61.686968

[3] Chul.Hwan.Kim, Hyun. Kim, Young.Hun.Ko, Sung.Hyun.Byun.A Novel Fault- Detection Technique of High-Impedance Arcing Faults in Transmission Lines Using the Wavelet Transform[J]. IEEE Transactions on Power Delivery, 2002, 17(4): 921-928.

DOI: 10.1109/tpwrd.2002.803780

[4] Adly. A. Girgis, Wenbin.Chang, Elhan.B.Makram. Analysis of High-Impedance Fualt Generated Signals Using a Kalman Filtering Approach[J]. IEEE Transaction on Power Delivery,1990,5(4):1714-1724.

DOI: 10.1109/61.103666

[5] Chen.Xiaoqing ,He. ZhengYou, Fu.Ling. Wavelet Power Spectrum of The Transient Signal Classification and Recognition Method[J]. Grid Technology，2006,30（17）;59-63.

[6] Zeng.XiangJun, Zhang. XiaoLi, Ma.HongJiang.Based on Wavelet Packet Energy Spectrum of The Power Traveling Wave Fault Location Method[J]. High Voltage Engineering，2008,34（11）；2311-2316.

[7] Yong.Sheng, Steven.M.Rovnuak. Decision Tree-Based Methodology for High Impedance Fault Detection[J]. IEEE Transactions on power delivery, vol.19,NO.2,april 2004;533-536

DOI: 10.1109/tpwrd.2003.820418

[8] S.Civanlar.J, J.Grainger, H.Yin, S.S.H. Lee. Distribution Feeder Reconfiguration for Loss Reduction .IEEE Transactions on Power Delivery, Volume 3, No. 3, July 1988;1217-1223

DOI: 10.1109/61.193906

[9] Nagy.I.Elkalshy, Matti. Lehtonen, Hatem.A.Darwish. DWT-Based Detection and Transient Power Direction-Based Location of High-Impedance Faults Due to Leaning Trees in Unearthed MV Networks. IEEE Transactions on Power Delivery, Volume 23, No. 1, January 2008;94-101

DOI: 10.1109/tpwrd.2007.911168

[10] Nagy.I.Elkalshy, Matti. Lehtonen, Hatem.A.Darwish. DWT-based extraction of residual currents throughout unearthed MV networks for detecting high-impedance faults due to leaning trees.Euro. Trans. Electr. Power 2007;17:597–604

DOI: 10.1002/etep.149