Journal of Electrical Engineering and Technology

The Korean Institute of Electrical Engineers (대한전기학회)
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Novel Techniques for Real Time Computing Critical Clearing Time SIME-B and CCS-B

  • Dinh, Hung Nguyen (Dept. of Electrical Engineering and Computer Science, Seoul National University) ;
  • Nguyen, Minh Y. (Dept. of Electrical Engineering and Computer Science, Seoul National University) ;
  • Yoon, Yong Tae (Dept. of Electrical Engineering and Computer Science, Seoul National University)
  • Received : 2012.01.16
  • Accepted : 2012.09.10
  • Published : 2013.03.01
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Abstract

Real time transient stability assessment mainly depends on real-time prediction. Unfortunately, conventional techniques based on offline analysis are too slow and unreliable in complex power systems. Hence, fast and reliable stability prediction methods and simple stability criterions must be developed for real time purposes. In this paper, two new methods for real time determining critical clearing time based on clustering identification are proposed. This article is covering three main sections: (i) clustering generators and recognizing critical group; (ii) replacing the multi-machine system by a two-machine dynamic equivalent and eventually, to a one-machine-infinite-bus system; (iii) presenting a new method to predict post-fault trajectory and two simple algorithms for calculating critical clearing time, respectively established upon two different transient stability criterions. The performance is expected to figure out critical clearing time within 100ms-150ms and with an acceptable accuracy.

Keywords

References

  1. C. P. Steinmetz, "Power control and stability of electric generating stations", AIEE Trans., Vol. XXXIX, Part II, pp. 1215-1287, July 1920.
  2. AIEE Subcommittee on Interconnections and Stability Factors, "First report of power system stability," AIEE Transactions, pp. 51-80, 1926.
  3. G. S. Vassell, "Northeast blackout of 1965", IEEE Power Engineering Review, pp. 4-8, Jan. 1991.
  4. Kundur, P.; Paserba, J.; Ajjarapu, V.; Andersson, G.; Bose, A.; Canizares, C.; Hatziargyriou, N.; Hill, D.; Stankovic, A.; et al. "Definition and classification of power system stability IEEE/CIGRE joint task force on stability terms and definitions", Power Systems, IEEE Transactions, Vol. 19, Issue:3, pp.1387-1401, Aug. 2004. https://doi.org/10.1109/TPWRS.2004.825981
  5. Yujing Wang; Jilai Yu, "Real Time Transient Stability Prediction of Multi-Machine System Based on Wide Area Measurement", Power and Energy Engineering Conference, 2009, APPEEC 2009, Asia-Pacific, pp. 1-4, March 2009.
  6. Wang Fangzong, Chen Deshu, He Yangzan, "On-line transient stability simulation and assessment of largescale power system", Proceedings of the CSEE, Vol. 13, No. 6, pp. 13-19, 1993.
  7. Fouad A A, Vittal V, "Power system transient stability analysis using the transient energy function method", Prentice Hall, Inc., 1992.
  8. Maria G A, Tang C, Kim J., "Hybrid transient stability analysis", IEEE Transactions on PWRS., Vol. 5, No. 2, pp. 384-393, 1990.
  9. Mania Pavella, Damien Ernst, Daniel Ruiz-Vega, "Transient Stability of Power System A Unified Approach to Assessment and Control", Kluwer Academic Publishers, 2000
  10. M. Takahashi, K. Matsuzawa, M. Sato, et al. "Fast generation shedding equipment based on the observation of swings of generators." IEEE Transactions on Power Systems, Vol. 3, No. 2, pp. 439-446, May 1988. https://doi.org/10.1109/59.192894
  11. Yorino, N.; Priyadi, A.; Kakui, H.; Takeshita, M., "A New Method for Obtaining Critical Clearing Time for Transient Stability", Power Systems, IEEE Transactions, Vol. 25, Issue: 3, pp. 1620-1626, Aug. 2010. https://doi.org/10.1109/TPWRS.2009.2040003
  12. Y. Xue, Th. Van Cutsem, M. Ribbens-Pavella, "A simple direct method for fast transient stability assessment of large power systems", IEEE Trans. on Power Systems, Vol. 3, No. 2, May 1988.