Stationary wavelet transform and single differentiator based decaying DC-offset filtering in post fault measurements

Abstract This paper presents a novel scheme for removing a decaying DC-offset from both current and voltage measurements irrespective of the time constant.The technique is based on stationary wavelet transform (SWT) cascaded with a differentiator. The performance of the scheme on two study cases is investigated; the statistical performance in relation to noise on a hypothetical signal, and a modeled segment of a utility network in South Africa. The proposed scheme is practically applied by testing it on a real life data obtained from Eskom’s network. The result shows that the scheme is robust, and that it can remove any DC-offset. The output of the scheme can be used for fault detection, classification and location.

[1]  B. A. Souza,et al.  Distance protection using a wavelet-based filtering algorithm , 2010 .

[2]  Guang-Zhou Zhao,et al.  Power System Fault Detection Based on Stationary Wavelet Packet Transform and Hilbert Transform , 2008, 2008 Congress on Image and Signal Processing.

[3]  N. Huang,et al.  The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis , 1998, Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.

[4]  Chi-Kong Wong,et al.  A novel algorithm for phasor calculation based on wavelet analysis [power system analysis] , 2001, 2001 Power Engineering Society Summer Meeting. Conference Proceedings (Cat. No.01CH37262).

[5]  T. Sidhu,et al.  A new half-cycle phasor estimation algorithm , 2005, IEEE Transactions on Power Delivery.

[6]  J. F. Miñambres Argüelles,et al.  A new method for decaying dc offset removal for digital protective relays , 2006 .

[7]  J.K. Wu,et al.  A novel method for removal of DC component in nonsinusoidal signals of power systems , 2004, IEEE PES Power Systems Conference and Exposition, 2004..

[8]  Gabriel Rilling,et al.  Empirical mode decomposition as a filter bank , 2004, IEEE Signal Processing Letters.

[9]  James F. Kaiser,et al.  The use of a masking signal to improve empirical mode decomposition , 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

[10]  C. Yu.  A discrete Fourier transform-based adaptive mimic phasor estimator for distance relaying applications , 2006, IEEE Transactions on Power Delivery.

[11]  S. Srivani,et al.  On Line Fault Detection and an Adaptive Algorithm to Fast Distance Relaying , 2008, 2008 Joint International Conference on Power System Technology and IEEE Power India Conference.

[12]  Sofia C. Olhede,et al.  A generalized demodulation approach to time-frequency projections for multicomponent signals , 2005, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[13]  S. Brahma,et al.  Investigating the performance of discrete wavelet transform for phasor estimation in digital relays , 2008, 2008 IEEE Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century.

[14]  Stéphane Mallat,et al.  Singularity detection and processing with wavelets , 1992, IEEE Trans. Inf. Theory.

[15]  M.S. Sachdev,et al.  A New Algorithm for Digital Impedance Relays , 1979, IEEE Transactions on Power Apparatus and Systems.

[16]  B. Jeyasurya,et al.  Transmission line distance protection using wavelet transform algorithm , 2004, IEEE Transactions on Power Delivery.

[17]  J. L. Domínguez,et al.  New quick-convergence invariant digital filter for phasor estimation , 2009 .

[18]  M. S. Sachdev,et al.  A recursive least error squares algorithm for power system relaying and measurement applications , 1991 .

[19]  J.-A. Jiang,et al.  Application of combined adaptive Fourier filtering technique and fault detector to fast distance protection , 2006, IEEE Transactions on Power Delivery.

[20]  Sang-Hee Kang,et al.  Distance relaying algorithm using a DFT-based modified phasor estimation method , 2009, 2009 IEEE Bucharest PowerTech.

[21]  O.P. Malik,et al.  Stationary Wavelet Transform Based HVDC Line Protection , 2007, 2007 39th North American Power Symposium.

[22]  Adly Girgis,et al.  Application of Kalman Filtering in Computer Relaying , 1981, IEEE Transactions on Power Apparatus and Systems.

[23]  A. Walden,et al.  The Hilbert spectrum via wavelet projections , 2004, Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.

[24]  E. O. Schweitzer,et al.  Filtering for protective relays , 1993, IEEE WESCANEX 93 Communications, Computers and Power in the Modern Environment - Conference Proceedings.

[25]  O.P. Malik,et al.  Transmission line distance protection based on wavelet transform , 2004, IEEE Transactions on Power Delivery.

[26]  G. Benmouyal,et al.  Removal of DC-offset in current waveforms using digital mimic filtering , 1995 .