Selecting wavelets for damping estimation of ambient-excited electromechanical oscillations

This paper discusses aspects related to a wavelet transform and random decrement technique based method developed for estimating power system electromechanical oscillation damping from ambient-excited oscillations. The main focus of this paper is in finding the optimal wavelet functions for the damping estimation method. General selection criteria for the wavelet functions are defined, the selection criteria are specified quantitatively for the Nordic power system and the wavelet functions fulfilling the criteria are presented. Damping of a simulated Nordic power system case is analyzed with the damping estimation method and with different wavelet functions. The damping estimation results show that when the mother wavelet is selected according to the specified criteria, the damping estimates are better than by using other wavelets.

[1]  P. Korba,et al.  Experiences and future plans in monitoring the inter-area power oscillation damping , 2008, 2008 IEEE Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century.

[2]  Christian Rehtanz,et al.  Wide area monitoring and control for transmission capability enhancement , 2007 .

[3]  D.H. Wilson.  Wide-Area Measurement and Control for Dynamic Stability , 2007, 2007 IEEE Power Engineering Society General Meeting.

[4]  G. Ledwich,et al.  Estimation of Modal Damping in Power Networks , 2007, IEEE Transactions on Power Systems.

[5]  Christian Rehtanz,et al.  Detection of oscillations in power systems using Kalman filtering techniques , 2003, Proceedings of 2003 IEEE Conference on Control Applications, 2003. CCA 2003..

[6]  H. A. Cole,et al.  On-line failure detection and damping measurement of aerospace structures by random decrement signatures , 1973 .

[7]  H. Ghasemi,et al.  On-Line Damping Torque Estimation and Oscillatory Stability Margin Prediction , 2007, IEEE Transactions on Power Systems.

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

[9]  S.M. Rovnyak,et al.  Dynamic event detection using wavelet analysis , 2006, 2006 IEEE Power Engineering Society General Meeting.

[10]  Gerard Ledwich,et al.  Estimating power system modal parameters using wavelets , 1999, ISSPA '99. Proceedings of the Fifth International Symposium on Signal Processing and its Applications (IEEE Cat. No.99EX359).

[11]  Takuhei Hashiguchi,et al.  Analysis of power system dynamics based on multiple synchronized phasor measurements , 2003, 2003 IEEE Power Engineering Society General Meeting (IEEE Cat. No.03CH37491).

[12]  Ning Zhou,et al.  Performance of Three Mode-Meter Block-Processing Algorithms for Automated Dynamic Stability Assessment , 2008, IEEE Transactions on Power Systems.

[13]  J.W. Pierre,et al.  Adaptive Filtering Techniques for Estimating Electromechanical Modes in Power Systems , 2007, 2007 IEEE Power Engineering Society General Meeting.

[14]  W.A. Mittelstadt,et al.  Use of the WECC WAMS in Wide-Area Probing Tests for Validation of System Performance and Modeling , 2009, IEEE Transactions on Power Systems.

[15]  S. Mallat.  A wavelet tour of signal processing , 1998 .

[16]  M. Bronzini,et al.  Power system modal identification via wavelet analysis , 2007, 2007 IEEE Lausanne Power Tech.

[17]  Ingrid Daubechies,et al.  Ten Lectures on Wavelets , 1992 .

[18]  G. Ledwich,et al.  Phasor measurement Unit—s for system diagnosis and load identification in Australia , 2008, 2008 IEEE Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century.

[19]  Arturo Roman Messina,et al.  ANALYSIS OF INTER-AREA OSCILLATIONS VIA NON-LINEAR TIME SERIES ANALYSIS TECHNIQUES , 2005 .