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DOI: https://doi.org/10.15407/techned2017.05.067

ON-LINE IDENTIFICATION OF LOW-FREQUENCY MODES OF ELECTROMECHANICAL OSCILLATIONS IN POWER SYSTEMS

Journal Tekhnichna elektrodynamika
Publisher Institute of Electrodynamics National Academy of Sciences of Ukraine
ISSN 1607-7970 (print), 2218-1903 (online)
Issue No 5, 2017 (September/October)
Pages 67 – 75

 

Authors
O.F. Butkevych1,2, V.V. Chyzhevskyi2
1 – Institute of Electrodynamics National Academy of Sciences of Ukraine,
pr. Peremohy, 56, Kyiv, 03057, Ukraine,
e-mail: Этот e-mail адрес защищен от спам-ботов, для его просмотра у Вас должен быть включен Javascript
2 – National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”,
pr. Peremohy, 37, Kyiv, 03056, Ukraine

 

Abstract

The article presents comparative identification results of low-frequency components of the signals in the cases of using their both effective and instantaneous values. It is shown that using of instantaneous values of power system operational condition parameters measured by phasor measurement units will increase a detection reliability of low-frequency modes of electromechanical oscillations, however, such use in real time will require a high processor speed. Therefore, for reliable detection of low-frequency modes it is more expedient to increase the observation window’s width and to use the effective values of the power system operational condition parameters. References 10, figures 6, tables 3.

 

Key words: power system, low-frequency modes, electromechanical oscillations, data sampling, instantaneous values.

 

Received:     28.04.2017
Accepted:     30.06.2017
Published:   17.08.2017

 

References

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2. Butkevych О.F., Chyzhevskyi V.V. An influence of digital filtering of signals at analysis results of low-frequency electromechanical oscillations in interconnected power systems. Tekhnichna Elektrodynamika. 2016. No 6. Pp. 54–59. (Ukr)
3. Agüero J.L., Molina R.D., Barbero J.C, Issouribehere F. Poorly damped electromechanical oscillation in the 345 kV interconnection between Argentina and Chile. Identification based on sliding Prony analysis. 2016 CIGRE Session Proceedings. – Paris, CIGRE Session from 21 till 26 August 2016.  Paper C2-205.  9 p.
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