Detection of high impedance fault in distribution feeder using wavelet transform and artificial neural networks
作者： Ming-Ta Yang , Jhy-Cherng Gu , Chan-Yuan Jeng
DOI: 10.1109/ICPST.2004.1460075
关键词:
摘要: This work presents a novel analysis method that can simulate the potential effect of high impedance fault (HIF). The proposed offers new scheme for protecting overhead distribution feeder. wavelet transform (WT) was successfully applied in many fields. characteristics scaling and translation WT be used to identify stable transient signals. Discrete transforms (DWT) are initially extract distinctive features voltage current signals, transformed into series detailed approximated components. coefficients variation components then calculated. information is introduced training artificial neural networks (ANN) determine an HIF from operations switches. simulated results clearly reveal accurately
sci-hub.se 参考文章(12)
David Chan Tat Wai, Xia Yibin, A novel technique for high impedance fault identification IEEE Transactions on Power Delivery. ,vol. 13, pp. 738- 744 ,(1998) , 10.1109/61.686968
A.F. Sultan, G.W. Swift, D.J. Fedirchuk, Detecting arcing downed-wires using fault current flicker and half-cycle asymmetry IEEE Transactions on Power Delivery. ,vol. 9, pp. 461- 470 ,(1994) , 10.1109/61.277718
I.K. Yu, Y.H. Song, Development of novel adaptive single-pole autoreclosure schemes for extra high voltage transmission systems using wavelet transform analysis Electric Power Systems Research. ,vol. 47, pp. 11- 19 ,(1998) , 10.1016/S0378-7796(98)00034-0
P. L. Mao, R. K. Aggarwal, A Novel Approach to the Classification of the Transient Phenomena in Power Transformers Using Combined Wavelet Transform and Neural Network IEEE Power & Energy Magazine. ,vol. 21, pp. 70- 70 ,(2001) , 10.1109/MPER.2001.4311488
F. Martin, J.A. Aguado, Wavelet-based ANN approach for transmission line protection IEEE Transactions on Power Delivery. ,vol. 18, pp. 1572- 1574 ,(2003) , 10.1109/TPWRD.2003.817523
C.L. Benner, B.D. Russell, Practical High Impedance Fault Detection for Distribution Feeders Proceedings of Rural Electric Power Conference. ,vol. 33, pp. 635- 640 ,(1996) , 10.1109/REPCON.1996.495238
E.D. Sontag, Feedback stabilization using two-hidden-layer nets IEEE Transactions on Neural Networks. ,vol. 3, pp. 981- 990 ,(1992) , 10.1109/72.165599
S. Santoso, E.J. Powers, W.M. Grady, P. Hofmann, Power quality assessment via wavelet transform analysis power engineering society summer meeting. ,vol. 11, pp. 924- 930 ,(1996) , 10.1109/61.489353
X. Ma, C. Zhou, I.J. Kemp, Interpretation of wavelet analysis and its application in partial discharge detection IEEE Transactions on Dielectrics and Electrical Insulation. ,vol. 9, pp. 446- 457 ,(2002) , 10.1109/TDEI.2002.1007709
O. A. S. Youssef, A Wavelet-Based Technique for Discrimination between Faults and Magnetising Inrush Currents in Transformers IEEE Power & Energy Magazine. ,vol. 18, pp. 170- 176 ,(2002) , 10.1109/MPER.2002.4312313