Performance of wavelet-based damping estimation method under ambient conditions of the power system

The paper discusses performance evaluation of damping estimation methods and specifically evaluates the performance of a wavelet-based damping estimation method. The focus is on the damping estimation under the ambient conditions of the power system. Damping estimation results are reviewed in case of the simulated data because then real damping is known and can be compared with the estimated damping. Various degrees of complexity of the simulation models are used: linear single and double pole pair models, and a detailed nonlinear system model of the Nordic power system. In the linear models, the real damping of the modes can be analytically calculated and compared with the estimated damping. Damping estimation performance is studied in different operating conditions of the studied simulation models. The main results are: frequency estimates are better than the damping estimates, other oscillation modes may affect the damping estimation, poor damping can be estimated more accurately than high damping, and the performance of the method is nearly similar regardless of the complexity of the simulation model.

[1]  K.-C. Lee,et al.  Analysis of transient stability swings in large interconnected power systems by Fourier transformation , 1988 .

[2]  J. F. Hauer,et al.  Application of Prony analysis to the determination of modal content and equivalent models for measured power system response , 1991 .

[3]  A. R. Messina,et al.  Nonlinear, non-stationary analysis of interarea oscillations via Hilbert spectral analysis , 2006, IEEE Transactions on Power Systems.

[4]  Ning Zhou,et al.  Initial results in power system identification from injected probing signals using a subspace method , 2006, IEEE Transactions on Power Systems.

[5]  J Thambirajah,et al.  A Multivariate Approach Towards Interarea Oscillation Damping Estimation Under Ambient Conditions Via Independent Component Analysis and Random Decrement , 2011, IEEE Transactions on Power Systems.

[6]  Joe H. Chow,et al.  Performance comparison of three identification methods for the analysis of electromechanical oscillations , 1999 .

[7]  Tuomas Rauhala,et al.  Selecting wavelets for damping estimation of ambient-excited electromechanical oscillations , 2010, IEEE PES General Meeting.

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

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

[10]  Ingrid Daubechies,et al.  1. The What, Why, and How of Wavelets , 1992 .

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

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

[13]  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.

[14]  Arturo Roman Messina,et al.  On-line assessment and control of transient oscillations damping , 2004 .

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

[16]  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..

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

[18]  Arturo Roman Messina,et al.  Inter-area Oscillations in Power Systems , 2009 .

[19]  K. Uhlen,et al.  Effects of controlled shunt and series compensation on damping in the Nordel system , 2005, IEEE Transactions on Power Systems.

[20]  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.

[21]  Arturo Roman Messina,et al.  Inter-area Oscillations in Power Systems: A Nonlinear and Nonstationary Perspective , 2009 .

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

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

[24]  R. Doraiswami,et al.  Real-time estimation of the parameters of power system small signal oscillations , 1993 .

[25]  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.

[26]  A.R. Messina,et al.  Online assessment and control of transient oscillations damping , 2004, IEEE Transactions on Power Systems.