Algorithm for Fault Detection and Classification Using Wavelet Singular Value Decomposition for Wide-Area Protection

An algorithm for fault detection and classification method for wide-area protection in Korean transmission systems is proposed. The modeling of 345-kV and 765-kV Korean power system transmission networks using the Electro Magnetic Transient Program - Restructured Version (EMTP- RV) is presented and the algorithm for fault detection and classification in transmission lines is developed. The proposed algorithm uses the Wavelet Transform (WT) and Singular Value Decomposition (SVD). The Singular value of Approximation coefficient (SA) and part Sum of Detail coefficient (SD) are introduced. The characteristics of the SA and SD at the fault conditions are analyzed and used in the algorithm for fault detection and classification. The validation of the proposed algorithm is verified by various simulation results.

[1]  Huisheng Wang,et al.  Fuzzy-neuro approach to fault classification for transmission line protection , 1998 .

[2]  Xian Wu,et al.  Automatic fault detection for power system using wavelet singular entropy , 2004, 2004 International Conference on Intelligent Mechatronics and Automation, 2004. Proceedings..

[3]  A. Laub,et al.  The singular value decomposition: Its computation and some applications , 1980 .

[4]  Mladen Kezunovic,et al.  Automated feature extraction from power system transients using wavelet transform , 2002, Proceedings. International Conference on Power System Technology.

[5]  Chul-Sang Hwang,et al.  Complementary Power Control of the Bipolar-type Low Voltage DC Distribution System , 2015 .

[6]  Chul-Hwan Kim,et al.  Development of a Reclosing Scheme for Reduction of Turbine Generator Shaft Torsional Torques: A Decision Method to Achieve Optimal Reactor Capacity , 2014 .

[7]  Chul-Hwan Kim,et al.  Algorithm for Fault Location Estimation on Transmission Lines using Second-order Difference of a Positive Sequence Current Phasor , 2013 .

[8]  A.I. Megahed,et al.  Usage of wavelet transform in the protection of series-compensated transmission lines , 2006, IEEE Transactions on Power Delivery.

[9]  N.C.F. Tse Practical application of wavelet to power quality analysis , 2006, 2006 IEEE Power Engineering Society General Meeting.

[10]  C. Christopoulos,et al.  Ultra-high speed protection of series compensated lines , 1992 .

[11]  Chul-Hwan Kim,et al.  Wavelet transforms in power systems. I. General introduction to the wavelet transforms , 2000 .

[12]  Hak-Man Kim,et al.  Study on Advanced Frequency Estimation Technique using Gain Compensation , 2011 .

[13]  Chul-Won Park,et al.  A Comparative Study on Frequency Estimation Methods , 2013 .

[14]  Mudathir Funsho Akorede,et al.  Wavelet Transforms: Practical Applications in Power Systems , 2009 .

[15]  G. Panda,et al.  Fault Classification and Section Identification of an Advanced Series-Compensated Transmission Line Using Support Vector Machine , 2007, IEEE Transactions on Power Delivery.

[16]  A. T. Johns,et al.  A Novel Fault Detection Techique of High Impedance Arcing Faults in Transmission Lines Using the Wavelet Transform , 2002, IEEE Power Engineering Review.

[17]  I. Zamora,et al.  Best ANN structures for fault location in single-and double-circuit transmission lines , 2005, IEEE Transactions on Power Delivery.

[18]  Chul-Hwan Kim,et al.  An Adaptive Autoreclosure Scheme with Reference to Transient Stability for Transmission Lines , 2015 .

[19]  Zhihui Zhu,et al.  Transmission line fault classification based on wavelet singular entropy and artificial immune recognition system algorithm , 2009, 2009 2nd International Conference on Power Electronics and Intelligent Transportation System (PEITS).

[20]  P. Bao,et al.  Image adaptive watermarking using wavelet domain singular value decomposition , 2005 .

[21]  N.S.D. Brito,et al.  Fault detection and classification in transmission lines based on wavelet transform and ANN , 2006, IEEE Transactions on Power Delivery.

[22]  Mini S. Thomas,et al.  Fuzzy approach to fault classification for transmission line protection , 1999, Proceedings of IEEE. IEEE Region 10 Conference. TENCON 99. 'Multimedia Technology for Asia-Pacific Information Infrastructure' (Cat. No.99CH37030).

[23]  Abdelhay A. Sallam,et al.  An adaptive protection scheme for advanced series compensated (ASC) transmission lines , 1998 .

[24]  Chul-Hwan Kim,et al.  Wavelet transforms in power systems Part 2 Examples of application to actual power system transients , 2001 .

[25]  Zhiqian Bo,et al.  Fault Detection and Classification in EHV Transmission Line Based on Wavelet Singular Entropy , 2010, IEEE Transactions on Power Delivery.

[26]  P. B. Dutta Gupta,et al.  A fuzzy logic based fault classification approach using current samples only , 2007 .

[27]  Kit Po Wong,et al.  Wavelet-transform-based algorithm for harmonic analysis of power system waveforms , 1999 .

[28]  B. Das,et al.  Fuzzy-logic-based fault classification scheme for digital distance protection , 2005, IEEE Transactions on Power Delivery.

[29]  Qian Qing-quan,et al.  A STUDY OF WAVELET ENTROPY THEORYAND ITS APPLICATION IN ELECTRIC POWER SYSTEM FAULT DETECTION , 2005 .

[30]  M. T. Hagh,et al.  Fault classification and location of power transmission lines using artificial neural network , 2007, 2007 International Power Engineering Conference (IPEC 2007).