Fast Computation of Sample Entropy in Forced Oscillation Detection

Zhen Shan Zhu; Di Chen Liu; Qing Fen Liao

doi:10.4028/www.scientific.net/AMM.602-605.1807

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 602-605Fast Computation of Sample Entropy in Forced...

Fast Computation of Sample Entropy in Forced Oscillation Detection

Abstract:

Forced power oscillation in power systems has a serious influence to the safe and stable operation of power systems. A fast dynamic sample entropy algorithm is proposed based on sample entropy in this paper. The change of dynamic sample entropy of the tie-line power is analyzed to determine whether the forced power oscillation happened. Case study on the 4-machine 2-area system shows the effectiveness and efficiency of the proposed methodology.

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Periodical:

Applied Mechanics and Materials (Volumes 602-605)

Pages:

1807-1810

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.602-605.1807

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Online since:

August 2014

Authors:

Zhen Shan Zhu*, Di Chen Liu, Qing Fen Liao

Keywords:

Detection, Forced Oscillation, Power System, Sample Entropy

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* - Corresponding Author

References

[1] Rogers G: Power system oscillations (Kluwer Academic, Boston 2000).

Google Scholar

[2] Magdy M A, Coowar: IEE Proceedings C (Generation, Transmission and Distribution) Vol. 137 (1990), p.261.

Google Scholar

[3] Yu Y, Min Y, Chen L: Electric Utility Deregulation and Restructuring and Power Technologies (DRPT), 2011 4th International Conference on. IEEE, 2011: 308-313.

DOI: 10.1109/drpt.2011.5994209

Google Scholar

[4] SONG D, YANG X, DING Q: Power System Technology Vol. 10 (2011), p.005.

Google Scholar

[5] Al-Angari H M, Sahakian A V: Biomedical Engineering, IEEE Transactions on Vol. 54 (2007), p. (1900).

Google Scholar

[6] Liu G Z, Wu D, Zhao G R: Biomedical Engineering and Informatics (BMEI), 2010 3rd International Conference on. IEEE, 2010, 5: 1915-(1919).

Google Scholar

[7] Hu M, Liang H: Bioengineering Conference, Proceedings of the 2010 IEEE 36th Annual Northeast. IEEE, 2010: 1-2.

Google Scholar

[8] Zurek S, Guzik P, Pawlak S: Physica A: Statistical Mechanics and its Applications Vol. 391 (2012), p.6601.

Google Scholar

[9] Richman J S, Moorman J R: American Journal of Physiology-Heart and Circulatory Physiology Vol. 278 (2000), p. H2039.

DOI: 10.1152/ajpheart.2000.278.6.h2039

Google Scholar

[10] Lake D E, Richman J S, Griffin M P: merican Journal of Physiology-Regulatory, Integrative and Comparative Physiology Vol. 283 (2002), p. R789.

DOI: 10.1152/ajpregu.00069.2002

Google Scholar

[11] Alcaraz R, Rieta J J: Nonlinear Analysis: Real World Applications Vol. 11 (2010), p.1026.

Google Scholar

[12] Kundur P: Power system stability and control (McGraw-Hill Professional, New York 1994).

Google Scholar