SOME PROBLEMS OF INTEGRATED SYSTEM CONSTRUCTION FOR PREVENTION OF INTERCONNECTED POWER SYSTEM’S OSCILLATORY INSTABILITY

Authors

  • Oleksandr Fedotovych Butkevych Інститут електродинаміки НАН України, Ukraine
  • Volodymyr Valeriiovych Chyzhevskyi Національний технічний університет «Київський політехнічний інститут», Ukraine

DOI:

https://doi.org/10.20535/1813-5420.3.2015.60127

Keywords:

interconnected power system, electromechanical low-frequency oscillations, damping, phasor measurement unit, signal analysis methods

Abstract

Some features construction of an integrated damping system (IDS) of electromechanical low-frequency oscillations (LFO) in the Integrated Power System (IPS) of Ukraine are presented. Computer software of identifying the dominant modes of LFO is the source of information for IDS LFO. Such means in real-time evaluate a current risk of oscillatory loss of IPS stability. Primary sources of information for IDS LFO are the phasor measurement units. It is shown that the selection of signal analysis methods suitable for use in the IDS LFO is based on the comprehensive testing of these methods.

References

Yutaka Ota, Hiroyuki Ukai, Koichi Nakamura, Yasunori Mitani, Masahide Hojo, and Osamu Saeki “PMU based power oscillation detection system and its application to Japanese longitudinal power system”, 15 th PSCC, Liege, 22-26 August 2005, Session 4, Paper 6.

Kakimoto N., Sugumi M., Makino T., Tomiyama K. “Monitoring of interarea oscillation mode by synchronized phasor measurement”, IEEE Trans. on Power Systems, Vol. 21, No. 1, February 2006. – Pp. 260-268.

Messina A.R., Vittal V. “Nonlinear, non-stationary analysis of interarea oscillation via Hilbert spectral analysis”, IEEE Trans. on Power Systems, Vol. 21, No. 3, August 2006. – Pp. 1234-1241.

Far H.G., Banakar H., Li P., Luo C., Ooi B.-T. “Damping Interarea Oscillations by Multiple Modal Selectivity Method”, IEEE Trans. on Power Systems, Vol. 24, No. 2, May 2009. – Pp. 766-775.

Arango O.J., Sanchez H.M., Wilson D. H. “Low Frequency Oscillations in the Colombian Power System Identification and Remedial Actions”, 2010 CIGRE Session, Paper C2-105.

Jakpattanajit C., Hoonchareon N., Yokoyama A. “On-line Estimation of Power System Low Frequency Oscillatory Modes in Large Power Systems”, Journal of International Council on Electrical Engineering, Vol. 1, No. 3, 2011. – Pp. 352-358.

Агамалов О.Н., Буткевич А.Ф. Вопросы построения интегрированной системы управления возбуждением синхронных машин в объединенной энергосистеме // Технічна електродинаміка. – 2015. – No 4. – С. 57-61.

Butkevych O., Аgamalov O. Power System Stability and Robustness of Synchronous Machine’s Excitatio n

Control with Magnitude-Phase Voltage Regulator // Технічна електродинаміка. – 2014. – No 5. – C. 41-43.

Буткевич О.Ф., Чижевський В.В. Оцінювання та зменшення в режимі реального часу небезпеки коливного порушення стійкості об’єднаної енергосистеми // Технічна електродинаміка. – 2015. – No 6. – С. 46-52.

Huang N.E., Shen Z., Long S.R., Wu M.L., Shih H.H., Zheng Q., Tung N.C.Y.C C., and Liu H.H., “The empirical mode decomposition and the Hilbert spectrum for nonlinear and nonstationary time series analysis,” Proc. R. Soc. London, 1998, Vol. 454. – Pp. 903–995.

Huang N.E., Wu M.L.C., Long S.R., Shen S.S.P., Qu W., Gloersen P., Fan K. L. “A confidence limit for the empirical mode decomposition and Hilbert spectral analysis ”, Proc. R. Soc. London, 2003, Vol. 459. – Pp.2317-2345.

Laila D.S., Messina A.R., Bikash C. P. “A Refined Hilbert–Huang Transform With Applications to Interarea Oscillation Monitoring”, IEEE Trans. on Power Systems, Vol. 24, No. 2, May 2009. – Pp. 610-620.

Lin T.-H., Soo V.-W. “Pruning Fuzzy ARTMAP Using the Minimum Description Length Principle in Learning from Clinical Databases”, Ninth IEEE International Conference on Tools with Artificial Intelligence. Proceedings. – 1997, November 3-8, Newport Beach, California. – Pp. 396–403.

Published

2016-02-14

Issue

Section

ENERGY SYSTEMS AND COMPLEXES