WAMS-based detection and early-warning of low-frequency oscillations in large-scale power systems

Electric Power Systems Research

Volumn 78, Issue 5, 2008, Pages 897-906

  Zhang, Shuqing ^a   Xie, Xiaorong ^a   Wu, Jingtao ^b  

^a TSINGHUA UNIVERSITY   (China)

^b BEIJING SIFANG AUTOMATION CO LTD   (China)

Author keywords

Low frequency oscillation; PMU; Prony algorithm; WAMS

Indexed keywords

ALGORITHMS; LSI CIRCUITS; OSCILLATORS (ELECTRONIC); REAL TIME SYSTEMS; SIGNAL PROCESSING;

FREQUENCY OSCILLATIONS; MODERN POWER SYSTEMS;

ELECTRIC POWER SYSTEMS;

EID: 39749086900     PISSN: 03787796     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.epsr.2007.06.008     Document Type: Article

References (23)

1. Kosterev D.N., Taylor C.W., et al. Model validation for the August 10, 1999 WSCC system outage. IEEE T. Power Syst. 14 3 (1999) 967-979
2. Weijen L., Jaehyeon G., Moshing C., Shihpng W., and Renjun L. Development of a real time power system dynamic performance monitoring system. Proceedings of the IEEE Industrial and Commercial Power Systems Technical Conference, Vol. 1 (1996) 161-166
3. Jinyu X., Xiaorong X., Jingtao W., and Yingduo H. Framework of synchronous dynamic security monitoring system based on PMU. Proceedings of the IEEE Tech Conference, Vol. 2 (2003) 1-5
4. Ballance J.W., Bhargava B., and Rodriguez G.D. Monitoring power system dynamics using phasor measurement technology for power system dynamic security assessment. Proceedings of the IEEE Power Tech Conference, Vol. 3 (2003) 1-7
5. Hiyama T., Suzuki N., Kita T., and Funakoshi T. Development of real time stability monitoring system for power system operation. Proceedings of the IEEE Power Engineering Society Winter Meeting, Vol. 1 (1999) 525-530
6. Wilson D.H. Managing oscillatory stability using online dynamics measurements. Proceedings of the IEEE Power Systems Conference and Exposition, Vol. 2 (2004) 1101-1108
7. Hiyama T., Suzuki N., and Funakoshi T. On-line coherency monitoring of power system oscillations. Proceedings of the IEEE Power Engineering Society Summer Meeting, Vol. 3 (2000) 839-1844
8. Kakimoto N., Sugumi M., Makino T., and Tomiyama K. Monitoring of interarea oscillation mode by synchronized phasor measurement. IEEE T. Power Syst. 21 1 (2006) 260-268
9. Hojo M., Ohnishi T., Mitani Y., Saeki O., and Ukai H. Observation of frequency oscillation in western Japan 60 Hz power system based on multiple synchronized phasor measurements. Proceedings of the IEEE Power Tech Conference, Vol. 2 (2003) 1-6
10. Ghasemi H., Canizares C., and Moshref A. Oscillatory stability limit prediction using stochastic subspace identification. IEEE T. Power Syst. 21 2 (2006) 736-745
11. Korba P., Larsson M., and Rehtanz C. Detection of oscillations in power systems using Kalman filtering techniques. Proceedings of the IEEE Conference on Control Applications, Vol. 1 (2003) 183-188
12. Sanchez-Gasca J.J., and Chow J.H. Performance comparison of three identification methods for the analysis of electromechanical oscillation. IEEE T. Power Syst. 14 3 (1999) 995-1002
13. Yutian L., Chi X., and Yuanyuan S. Real-time phasor measurement for low frequency oscillation in power system. Proceedings of the IEEE International Symposium on Circuits and Systems, Vol. 4 (2005) 3889-3893
14. Guoqiang H., Renmu H., Huachun Y., Peng W., and Rui M. Iterative Prony method based power system low frequency oscillation mode analysis and PSS design. Proceedings of the Transmission and Distribution Conference and Exhibition, Vol. 1 (2005) 1-6
15. Hua Y., Yutian L., and Xinsheng N. Low frequency oscillation analysis and damping based on Prony method and sparse eigenvalue technique. Proceedings of the IEEE International Conference on Networking, Sensing and Control, Vol. 1 (2006) 1006-1010
16. Ying H., Zheng X., and Wulue P. A practical analysis method of low frequency oscillation for large power systems. Proceedings of the Power Engineering Society General Meeting, Vol. 2 (2005) 1623-1629
17. Archer B.A., and Annakkage U.D. Monitoring and predicting power system behavior by tracking dominant modes of oscillation. Proceedings of the IEEE Power Engineering Society General Meeting, Vol. 2 (2005) 1475-1482
18. Dahu L., Yijia C., and Guang W. Online Identification of low-frequency oscillation in power system based on fuzzy filter and Prony algorithm. Proceedings of the International Conference on Power System Technology, Vol. 1 (2006) 1-5
19. Jinyu X., Xiaorong X., Yingduo H., and Jingtao W. Dynamic tracking of low-frequency oscillations with improved Prony method in wide-area measurement system. Proceedings of the IEEE Power Engineering Society General Meeting, Vol. 1 (2004) 1104-1109
20. Trudnowski D.J., Johnson J.M., and Hauer J.F. SIMO system identification from measured ringdowns. Proceedings of the American Control Conference, Vol. 5 (1998) 2968-2972
21. Trudnowski D.J., Johnson J.M., and Hauer J.F. Making Prony analysis more accurate using multiple signals, Power Systems. IEEE T. Power Syst. 14 1 (1999) 226-231
22. Tieqiang W., Renmu H., Dongjie X., and Xinwei W. The validity study of Prony analysis for low frequency oscillation in power system. Electric Power (in Chinese) 84 11 (2001) 38-41
23. Jim L., Xingyuan L., Quanping Z., Shuheng C., and Chaorong H. Research and problems of low frequency oscillation in interconnected power networks. Relay (in Chinese) 33 16 (2005) 70-77