Recent developments in modal estimation of power system electromechanical oscillations

This paper presents three data-driven methods to monitor electromechanical oscillations in power systems during ambient operation. The characteristics of the methods are compared and the differences in the characteristics are explained. The results indicate that all three methods are suitable for estimating the damping and frequency of electromechanical oscillations. The paper also studies the validity of the assumption that the load variations in power systems are Gaussian distributed. This is a common assumption in damping estimation methods. The assumption is shown to be valid for the studied loads.

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

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

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

[4]  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.

[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 Oscilations , 2007 .

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

[8]  D. J. Trudnowski,et al.  Overview of algorithms for estimating swing modes from measured responses , 2009, 2009 IEEE Power & Energy Society General Meeting.

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

[10]  G. Ledwich,et al.  A Kalman Filtering Approach to Rapidly Detecting Modal Changes in Power Systems , 2007, IEEE Transactions on Power Systems.

[11]  Chun-Lien Su,et al.  Visualization of Wide Area Dynamics in Power Network for Oscillatory Stability Assessment , 2007, 2007 International Conference on Intelligent Systems Applications to Power Systems.

[12]  Jukka Turunen,et al.  Performance of wavelet-based damping estimation method under ambient conditions of the power system , 2010, 2010 IREP Symposium Bulk Power System Dynamics and Control - VIII (IREP).

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

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

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

[16]  Mats Larsson,et al.  Monitoring of inter-area oscillations under ambient conditions using subspace identification , 2009, 2009 IEEE Power & Energy Society General Meeting.

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

[18]  J.F. Hauer,et al.  Current Status and Experience of WAMS Implementation in North America , 2005, 2005 IEEE/PES Transmission & Distribution Conference & Exposition: Asia and Pacific.

[19]  J.W. Pierre,et al.  Bootstrap-based confidence interval estimates for electromechanical modes from multiple output analysis of measured ambient data , 2005, IEEE Transactions on Power Systems.

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

[21]  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.

[22]  K. Uhlen,et al.  Wide Area Monitoring Experiences in Norway , 2006, 2006 IEEE PES Power Systems Conference and Exposition.