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Power system transient stability analysis through a homotopy analysis method

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Abstract

As an important function of energy management systems, online contingency analysis plays an important role in providing power system security warnings of instability. At present, N-1 contingency analysis still relies on time-consuming numerical integration to assess transient stability. To reduce computational cost, this paper proposes a transient stability analysis method based on homotopy analysis. The proposed method analyzes power system transient stability by computing bifurcation points of nonlinear differential equations. These bifurcation points constitute transient stability region boundaries. The method judges if the post-fault system can survive a disturbance by analyzing whether the initial values following fault clearance locate within the boundaries. The proposed method provides an alternative approach to assessing power system transient stability instead of traditional numerical integration. A simple case is presented to demonstrate application of the proposed method; the analysis results of the proposed method are consistent with the results of numerical integration.

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Notes

  1. This statement is based on physical analysis of power systems and is verified by a large number of simulation results.

  2. Mathematic software such as Matlab and Mathematic have Bessel function library.

References

  1. Wang, S., Meng, X., Chen, T.: Wide area control of power systems through delayed network. IEEE Trans. Control Syst. Technol. 20(2), 495–503 (2012)

    Article  Google Scholar 

  2. Wang, S., Gao, W., Sakis Meliopoulos A.P.: An alternative method for power system dynamic state estimation based on unscented transform. IEEE Trans. Power Syst. 27(2), 942–950 (2012)

    Google Scholar 

  3. Chen, Y., Huang, Z., Chavarria-miranda, D.: Performance evaluation of counter-based dynamic load balancing schemes for massive contingency analysis with different computing environments. In: Proceedings of the IEEE/PES General Meeting, Minneapolis, 25–29 July. IEEE, Piscataway (2010)

  4. Huang, Z., Chen, Y., Nieplocha, J.: Massive contingency analysis with high performance computing. In: Proceedings of the IEEE/PES General Meeting, Calgary, Canada, 26–30 July. IEEE, Piscataway (2009)

  5. Makarov, Y., Du, P., Kintner-Meyer, M., Jin, C., Illian, H.: Sizing energy storage to accommodate high penetration of variable energy resources. IEEE Trans. Sustain. Energy 3(1), 34–40 (2012)

    Google Scholar 

  6. Makarov, Y., Etingov, P., Samaan, N., Lu, N., Ma, J., Subbarao, K., Du, P., Kannberg, L.: Improving performance of power systems with large-scale variable generation additions. In: Proceedings of the 2012 IEEE/PES General Meeting, San Diego, CA, 22–26 July 2012

  7. Brucoli, M., Roma, A.D., Scala, M.L., Trovato, M.: Parallel-in-time method based on shifted-picard iterations for power system transient stability analysis. Eur. Trans. Electr. Power 4(6), 525–532 (1994)

    Article  Google Scholar 

  8. Aloisio, G., Bochicchio, M.A., La Scala, M., Sbrizzai, R.: A distributed computing approach for real-time transient stability analysis. IEEE Trans. Power Syst. 12(2), 981–987 (1997)

    Article  Google Scholar 

  9. La Scala, M., Sblendorio, G., Bose, A., Wu, J.: Comparison of algorithms for transient stability simulations on sheared and distributed memory multiprocessors. IEEE Trans. Power Syst. 11(4), 2045–2050 (1996)

    Article  Google Scholar 

  10. La Scala, M., Sblendorio, G., Sbrizzai, R.: Parallel-in-time implementation of transient stability simulations on a transputer network. IEEE Trans. Power Syst. 9(2), 1117–1125 (1994)

    Article  Google Scholar 

  11. Liu, C., Thorp, J.: New methods for computing power system dynamic response for real-time transient stability prediction. IEEE Trans. Circuits Syst. 47(3), 324–337 (2000)

    Article  Google Scholar 

  12. Ilic-Spong, M., Crow, M., Pai, M.A.: Transient stability simulation by waveform relaxation methods. IEEE Trans. Power Syst. 2(4), 943–949 (1987)

    Article  Google Scholar 

  13. Ma, F., Vittal, V.: Right-sized power system dynamic equivalents for power system operation. IEEE Trans. Power Syst. 26(4), 1998–2005 (2011)

    Article  Google Scholar 

  14. Wang, S., Lu, S., Lin, G., Zhou, N.: Measurement-based coherency identification and aggregation for power systems. In: Proceedings of the IEEE/PES General Meeting, San Diego, CA, pp. 22–26 (2012)

  15. Chow, J., Accari, P., Price, W.: Inertial and slow coherency aggregation algorithms for power system dynamic model reduction. IEEE Trans. Power Syst. 10(2), 680–685 (1995)

    Article  Google Scholar 

  16. Price, W., Hargrave, A., Hurysz, B., Chow, J., Hirsch, P.: Large-scale system testing of a power system dynamic equivalencing program. IEEE Trans. Power Syst. 13(3), 768–774 (1998)

    Google Scholar 

  17. Huang, Z., Du, P., Kosterev, D., Yang, S.: Generator dynamic model validation and parameter calibration using phasor measurements at the point of connection. IEEE Trans. Power Syst. 28(2), 1939–1949 (2013)

    Google Scholar 

  18. Pai, M.A., Padiyar, K.R., Radhakrishna, C.: Transient stability analysis of multi-machine AC/DC power systems via energy-function method. IEEE Trans. Power Appar. Syst. 12, 5027–5035 (1981)

    Google Scholar 

  19. Pai, M.A., Mohan, M.A., Rao, J.G.: Power system transient stability: regions using Popov’s method. IEEE Trans. Power Appar. Syst. 5, 788–794 (1970)

    Article  Google Scholar 

  20. Sauer, P., Pai, M.A.: Power System Dynamics and Stability. Prentice Hall Inc., Englewood Cliffs (1998)

    Google Scholar 

  21. Liao, S.: Beyond Perturbation: Introduction to the Homotopy Analysis Method. CRC Press, Boca Raton (2003)

    Book  Google Scholar 

  22. Liao, S., Tan, Y.: A general approach to obtain series solutions of nonlinear differential equations. Stud. Appl. Math. 119(4), 297–354 (2007)

    Article  MathSciNet  Google Scholar 

  23. Liao, S.: Notes on the homotopy analysis method: some definitions and theorems. Commun. Nonlinear Sci. Numer. Simul. 14(4), 983–997 (2009)

    Article  MATH  MathSciNet  Google Scholar 

  24. Liao, S.: Series solution of nonlinear eigenvalue problems by means of homotopy analysis method. Nonlinear Anal. Real World Appl. 10(4), 2455–2470 (2009)

    Article  MATH  MathSciNet  Google Scholar 

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Acknowledgments

The authors are grateful to the support from the Future Power Grid Initiative to this work through Laboratory Directed Research and Development Project “A multi-layer data-driven reasoning tool for smart grid integrated information systems.” The Pacific Northwest National Laboratory is operated for the U.S. Department of Energy by Battelle under Contract DE-AC05-76RL01830. Also, the authors gratefully acknowledge the contribution of Dr. Yinlong Zhao and Dr. Wenrui Hao for their help in Homotopy Analysis.

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Correspondence to Shaobu Wang.

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Wang, S., Du, P. & Zhou, N. Power system transient stability analysis through a homotopy analysis method. Nonlinear Dyn 76, 1079–1086 (2014). https://doi.org/10.1007/s11071-013-1191-2

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