This study presents a general approach to identify dominant oscillation modes in bulk power system by using wide-area measurement system. To automatically identify the dominant modes without artificial participation, spectral characteristic of power system oscillation mode is applied to distinguish electromechanical oscillation modes which are calculated by stochastic subspace method, and a proposed mode matching pursuit is adopted to discriminate the dominant modes from the trivial modes, then stepwise-refinement scheme is developed to remove outliers of the dominant modes and the highly accurate dominant modes of identification are obtained. The method is implemented on the dominant modes of China Southern Power Grid which is one of the largest AC/DC paralleling grids in the world. Simulation data and field-measurement data are used to demonstrate high accuracy and better robustness of the dominant modes identification approach.

References

1. 1)
  - 19. CSG Dispatching and Control Center: ‘Report on Sui-shui line contingence in CSG on 4th September 2012’ (China Southern Power Grid, 2012).
2. 2)
  - 18. CSG Dispatching and Control Center: ‘Operation mode of CSG in 2013’ (China Southern Power Grid, 2013).
3. 3)
  - P. Kundur , J. Paserba , V. Ajjarapu . Definition and classification of power system stability. IEEE Trans. Power Syst. , 3 , 1387 - 1401
4. 4)
  - 10. Tripathy, P., Srivastava, S.C., Singh, S.N.: ‘A modified TLS-ESPRIT-based method for low-frequency mode identification in power systems utilizing synchrophasor measurements’, IEEE Trans. Power Syst., 2001, 126, pp. 719–727.
5. 5)
  - H. Ghasemi , C. Canizares , A. Moshref . Oscillatory stability limit prediction using stochastic subspace identification. IEEE Trans. Power Syst. , 2 , 736 - 745
6. 6)
  - 12. Anderson, M.G., Zhou, N., Pierre, J.W., Wies, R.W.: ‘Bootstrap-based confidence interval estimates for electromechanical modes from multiple output analysis of measured ambient data’, IEEE Trans. Power Syst., 2005, 20, pp. 943–950 (doi: 10.1109/TPWRS.2005.846125).
7. 7)
  - 17. Peeters, B.: ‘System identification and damage detection in civil engineering’. PhD thesis, Katholieke Universiteit, Leuven, 2000.
8. 8)
  - 15. Scionti, M., Lanslots, J.P.: ‘Stabilization diagrams: pole identification using fuzzy clustering techniques’, Adv. Eng. Softw., 2005, 36, pp. 768–779 (doi: 10.1016/j.advengsoft.2005.03.029).
9. 9)
  - 16. Ni, J.M., Shen, C., Liu, F.: ‘Estimation of the electromechanical characteristics of power systems based on a revised stochastic subspace method and the stabilization diagram’, Sci. China Tech. Sci., 2012, 55, pp. 1677–1687 (doi: 10.1007/s11431-012-4834-5).
10. 10)
  - 4. Kundur, P.: ‘Power system stability and control’ (McGraw-Hill, 1994).
11. 11)
  - 9. Kokanos, B.L., Karady, G.G.: ‘Associate Hermite expansion small signal mode estimation’, IEEE Trans. Power Syst., 2010, 25, pp. 999–1006 (doi: 10.1109/TPWRS.2009.2032551).
12. 12)
  - 5. Jia, H.J., Yu, X.D., Yu, Y.X., Wang, C.S.: ‘Power system small signal stability region with time delay’, Int. J. Electr. Power Energy Syst., 2008, 30, pp. 16–22 (doi: 10.1016/j.ijepes.2007.06.020).
13. 13)
  - 2. Pourbeik, P., Kundur, P., Taylor, C.W.: ‘The anatomy of a power grid blackout-root causes and dynamics of recent major blackouts’, IEEE Power Energy Mag., 2006, 4, pp. 22–29 (doi: 10.1109/MPAE.2006.1687814).
14. 14)
  - 18. CSG Dispatching and Control Center: ‘Operation mode of CSG in 2013’ (China Southern Power Grid, 2013).
15. 15)
  - R.W. Wies , J.W. Pierre , D.J. Trudnowski . Use of ARMA block processing for estimating stationary low-frequency electromechanical modes of power systems. IEEE Trans. Power Syst. , 1 , 167 - 173
16. 16)
  - N. Zhou , J.W. Pierre , J.F. Hauer . Initial results in power system identification from injected probing signals using a subspace method. IEEE Trans. Power Syst. , 3 , 1296 - 1302
17. 17)
  - 7. Zhou, N., Pierre, J.W., Trudnowski, D.J., Guttromson, R.T.: ‘Robust RLS methods for online estimation of power system electromechanical modes’, IEEE Trans. Power Syst., 2007, 22, pp. 1240–1249 (doi: 10.1109/TPWRS.2007.901104).
18. 18)
  - D. Kosterev , W. Taylor , A. Mittelstadt . Model validation for the August 10, 1996 WSCC system outage. IEEE Trans. Power Syst. , 3 , 967 - 979
19. 19)
  - V. Venkatasubramanian , H. Schattler , J. Zaborsky . Dynamics of large constrained nonlinear systems-a taxonomy theory [power system stability]. Proc. IEEE , 11 , 1530 - 1561
20. 20)
  - 8. Peng, J.C., Nair, N.C.: ‘Enhancing Kalman filter for tracking ringdown electromechanical oscillations’, IEEE Trans. Power Syst., 2012, 27, pp. 1042–1050 (doi: 10.1109/TPWRS.2011.2169284).
21. 21)
  - 19. CSG Dispatching and Control Center: ‘Report on Sui-shui line contingence in CSG on 4th September 2012’ (China Southern Power Grid, 2012).

Mode matching pursuit for estimating dominant modes in bulk power grid

References

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