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Abstract

At present, there is a general trend towards digitalization in electric power systems, a change in the principles of electricity and capacity market mechanisms and increasing penetration of low-carbon renewable energy sources. Such a transformation of power systems will lead to a decrease in the total inertia, stability margins and an increase in the irregular component of active power flows. Features of power systems after the transformation completion will be associated with an increase in the likelihood of the occurrence of non-design modes and a decrease of the emergency control laws correctness. These changes will require correction in traditional emergency control operation principle in terms of the fault detector speed. As a result, the importance of power system emergency control problem during the electromechanical transient process is increasing. Such an emergency control principle has a high requirement for the speed and accuracy of electric mode parameter estimation. The work is devoted to the study of electrical mode parameters express-estimation characteristics and the possibility of its applying in stationary conditions and the dynamic change of the input signal. The method of electrical mode parameters express-estimation is based on the signal approximation using a multi-parameter model, which is highly stable and reliable. The mathematically modeled signals in Matlab/Simulink were used as the initial data. A single-machine model of a test power system was used for the case study, taking into account the models of a synchronous generator, a steam turbine, an automatic voltage regulator, a turbine speed regulator, power lines and infinite bus. Because of the experiments, acceptable characteristics of express-method of electric mode parameters evaluation were obtained.

Keywords

Phasor measurement unit, total vector error, mathematical modeling, digital signal processing, electrical power system.

Mikhail D. Senyuk Postgraduate Student, Department of Automated Electrical Systems, Ural Federal University named after the first President of Russia B.N. Yeltsin, Yekaterinburg, Russia, This email address is being protected from spambots. You need JavaScript enabled to view it., https://orcid.org/0000-0002-5589-7922

Anna A. Dmitrieva Postgraduate Student, Department of Automated Electrical Systems, Ural Federal University named after the first President of Russia B.N. Yeltsin, Yekaterinburg, Russia, This email address is being protected from spambots. You need JavaScript enabled to view it..

Stepan A. Dmitriev Ph.D. (Engineering), Associate Professor, Department of Automated Electrical Systems, Ural Federal University named after the first President of Russia B.N. Yeltsin, Yekaterinburg, Russia, This email address is being protected from spambots. You need JavaScript enabled to view it., https://orcid.org/0000-0001-8781-2383

1. Pavella M., Ernst D., Ruiz-Vega D. Transient stability of power systems: a unified approach to assessment and control. Springer Science & Business Media, 2012. 254 p.

2. Phadke A.G. Synchronized phasor measurements-a historical overview. IEEE/PES Transmission and Distribution Confer-ence and Exhibition. IEEE. 2002, pp. 476-479. doi: 10.1109/TDC.2002.1178427

3. Phadke A.G., Bi T. Phasor measurement units, WAMS, and their applications in protection and control of power systems. Journal of Modern Power Systems and Clean Energy. 2018, vol. 6, pp. 619–629. doi: 10.1007/s40565-018-0423-3

4. Lu C., Shi B., Wu X., Sun H. Advancing China’s smart grid: Phasor measurement units in a wide-area management system. IEEE Power Energy Magazine. 2015, no. 5, pp. 60–71. doi: 10.1109/MPE.2015.2432372

5. Castello P., Liu J., Muscas C., Pegoraro P.A., Ponci F. A. Monti A Fast and Accurate PMU Algorithm for P+M Class Measurement of Synchrophasor and Frequency. IEEE Transactions on Instrumentation and Measurement. 2014, no. 12, pp. 2837-2845. doi: 10.1109/TIM.2014.2323137

6. Macii D., Petri D., Zorat A. Accuracy analysis and en-hancement of DFT-based synchrophasor estimators in off-nominal conditions. IEEE Transactions on Instrumentation and Measurement. 2012, vol. 61, pp. 2653–2664. doi: 10.1109/TIM.2012.2199197

7. Belega D., Petri D. Accuracy analysis of the multicycle syn-chrophasor estimator provided by the interpolated DFT algo-rithm. IEEE Transactions on Instrumentation and Measure-ment. 2013, vol. 62, pp. 942–953. doi: 10.1109/TIM.2012.2236777

8. Romano P., Paolone M. Enhanced interpolated-DFT for synchrophasor estimation in FPGAs: Theory, implementation, and validation of a PMU prototype. IEEE Transactions on Instrumentation and Measurement. 2014, vol. 63, pp. 2824–2836. doi: 10.1109/TIM.2014.2321463

9. Premerlani W., Kasztenny B., Adamiak M. Development and implementation of a synchrophasor estimator capable of measurements under dynamic conditions. IEEE Transactions on Power Delivery. 2008, vol. 23, pp. 109–123. doi: 10.1109/TPWRD.2007.910982

10. Mai R.K., He Z.Y., Fu L., Kirby B., Bo Z.Q. A dynamic synchrophasor estimation algorithm for online application. IEEE Transactions on Power Delivery. 2010, vol. 25, pp. 570–578. doi: 10.1109/TPWRD.2009.2034293

11. Petri D., Fontanelli D., Macii D. A frequency-domain algo-rithm for dynamic synchrophasor and frequency estimation. IEEE Transactions on Instrumentation and Measurement. 2014, vol. 63, pp. 2330–2340. doi: 10.1109/TIM.2014.2308996

12. Zhan L., Liu Y., Culliss J., Zhao J., Liu Y. Dynamic single-phase synchronized phase and frequency estimation at the distribution level. IEEE Transactions on Smart Grid. 2015, vol. 6, pp. 2013–2022. doi: 10.1109/TSG.2015.2400973

13. Zhan L., Liu Y., Liu Y. A Clarke transformation-based DFT phasor and frequency algorithm for wide frequency range. IEEE Transactions on Smart Grid. 2018, vol. 8, pp. 67–77. doi: 10.1109/TSG.2016.2544947

14. De la O Serna J.A. Dynamic phasor estimates for power system oscillationsю IEEE Transactions on Instrumentation and Measurement. 2007, vol. 56, pp. 1648–1657. doi: 10.1109/TIM.2007.904546

15. Platas-Garza M.A., Platas-Garza J., De la O Serna J.A. Dy-namic phasor and frequency estimates through maximally flat differentiatorsю IEEE Transactions on Instrumentation and Measurement. 2010, vol. 59, pp. 1803–1811. doi: 10.1109/TIM.2009.2030921

16. Huang C., Xie X., Jiang H. Dynamic phasor estimation through DSTKF under transient conditionsю IEEE Transac-tions on Instrumentation and Measurement. 2017, vol. 66, pp. 2929–2936. doi: 10.1109/TIM.2017.2713018

17. Sadinezhad I., Agelidis V.G. Real-time power system phasors and harmonics estimation using a new decoupled recursive-least-squares technique for DSP implementationю IEEE Transactions on Industrial Electronics. 2013, vol. 60, pp. 2295–2308. doi: 10.1109/TIE.2012.2192895.

18. Vejdan S., Sanaye-Pasand M., Malik O.P. Malik. Accurate dynamic phasor estimation based on the signal model under off-nominal frequency and oscillationsю IEEE Transactions on Smart Grid. 2017, vol. 8, pp. 708–719. doi: 10.1109/TSG.2015.2503742

19. Chauhan K., Reddy M.V., Sodhi R. A novel distribution-level phasor estimation algorithm using empirical wavelet transformю IEEE Transactions on Industrial Electronics. 2018, vol. 65, pp. 7984–7995. doi: 10.1109/TIE.2018.2801837

20. Jin T., Zhang W. A Novel Interpolated DFT Synchrophasor Estimation Algorithm With an Optimized Combined Cosine Self-Convolution Windowю/ IEEE Transactions on Instru-mentation and Measurement. 2021, vol. 70, pp. 1-10. doi: 10.1109/TIM.2020.3033073

21. Kovalenko P.Y., Senyuk M.D., Dmitrieva A.A. Determina-tion of The Instantaneous Electrical Operating Parameters With an Increased Sampling Rateю/ 2020 International Con-ference on Electrotechnical Complexes and Systems. IEEE. 2020, pp. 1-4. doi: 10.1109/ICOECS50468.2020.9278482

22. Berdin A. S., Kryuchkov P. A. Formirovanie parametrov modeli EES dlya upravleniya elektricheskimi rezhimami [Formation of electrical power system model parameters for electric mode control]. Ekaterinburg, UGTU Publ., 2000. 107 p. (in Russian)

23. Berdin A. S., Bliznyuk D. I., Romanov I. B. Calculation of resultant load characteristics for power districts to calculate electrical and mechanical transient processes. Izvestiya NTTS Edinoy energeticheskoy sistemy [STC of Unified Power Sys-tem Proceedings], 2016, no. 1, 35 p. (in Russian)

24. IEEE Standard for Synchrophasor Measurements for Power Systems. IEEE Std C37.118, 2011, pp. 1-61. doi: 10.1109/IEEESTD.2011.6111219