Abstract

Full Text

The study considers the problem of identifying the type and location of a short circuit in distribution electrical networks with a limited number of centralized synchronized phasor measurement sources. An overview of existing backup methods in the electric grid has been given, and the need to raise the issue of using centralized protection at the energy district level has been shown. The concept of centralized protection of long-range resonance based on synchronized phasor measurements has been described. The main idea of centralized remote backup protection is to use two algorithms: detection of short circuit location and the type of short circuit. To illustrate the operation of the short-circuit location detection algorithm in the presence of several loops in the controlled electrical network and the presence of measurements on all power sources of this network, a model of a 110 kV multi-looped power system consisting of 7 nodes and 3 power sources has been used. To check the operability of the proposed centralized protection, namely, the operation of the short-circuit point localization method in the electrical network, a program has been scripted that performs calculations for the localization of the short-circuit point according to the proposed algorithm. The program implements the possibility of making an error in current and voltage measurements. Testing have been carried out for two cases: without errors in current and voltage measurements and with errors in measurements. The errors of measuring instruments have been modeled using the Monte Carlo method. As a result of testing, it has been revealed that the accuracy of the developed short-circuit localization method directly depends on the distance to the power source.

Keywords

electric power system, short circuit, synchronized phasor measurements, relay protection

Petr I. Bartolomey D.Sc. (Engineering), Professor, Leading Engineer, Department of Automated Electrical Systems, Ural Federal University named after the First President of Russia B. N. Yeltsin, Yekaterinburg, Russia

Sergey E. Shender Postgraduate Student, Department of Automated Electrical Systems, Ural Federal University named after the First President of Russia B. N. Yeltsin, Yekaterinburg, Russia

Mikhail D. Senyuk Ph.D. (Engineering), Leading Engineer, 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. ,

Viktor V. Klassen Postgraduate Student, Department of Automated Electrical Systems, Ural Federal University named after the First President of Russia B. N. Yeltsin, Yekaterinburg, Russia

1. Skhema LEP i elektrosnabzheniya Rossii (The scheme of power lines and power supply in Russia). Available at: https://frexosm.ru/power/#10.37/51.6883/55.2261 (accessed 19 August 2024)

2. Pravila ustroystva elektroustanovok (Rules for the installation of electrical installations). Available at: https://legalacts.ru/doc/pravila-ustroistva-elektroustanovok-pue-shestoe-izdanie-utv/ (accessed 19 August 2024)

3. Godovoy otchet PAO «FSK EES» za 2021 god (Annual report of the Public Joint Stock Company "Federal Grid Company of the Unified Energy System" for 2021). Available at: https://rosseti.ru/shareholders-and-investors/disclosure-of-information/annual-reports/ (accessed 19 August 2024)

4. Godovoy otchet PAO «FSK EES» za 2022 god (Annual report of the Public Joint Stock Company "Federal Grid Company of the Unified Energy System" for 2022). Available at: https://rosseti.ru/shareholders-and-investors/disclosure-of-information/annual-reports/ (accessed 19 August 2024)

5. Godovoy otchet PAO «FSK EES» za 2023 god (Annual report of the Public Joint Stock Company "Federal Grid Company of the Unified Energy System" for 2023). Available at: https://rosseti.ru/shareholders-and-investors/disclosure-of-information/annual-reports/ (accessed 19 August 2024)

6. Udris A.P. Releynaya zashchita vozdushnykh liniy 110-220 kV tipa EPZ-1636 [Relay protection of overhead lines 110-220 kV of the EPZ-1636 type]. Moscow, Energoatomizdat Publ., 1988. 141 p. (In Russian)

7. Ziegler G. Numerical distance protection: principles and application. Available at: https://archive.org/details/ Zieg-lerGerhardNumericalDistanceProtectionPrinciplesAndAp-plicationPublicisPub2011 (accessed 19 August 2024)

8. Elmore W.A. Protective relaying theory and applications. Marcel Dekker Inc., 2005. 399 p.

9. Rules of technical operation of electric power stations and networks of the Russian Federation. Moscow, Energoservis Publ., 2003. 368 p. (In Russian)

10. State standart 59364-2021. United power system and isolated power systems. Relay protection and automation. Wide-area measurement system. Norms and requirements. Moscow, Standartinform Publ., 2021. 26 p. (In Russian)

11. State Standard 59364-2021 United power system and isolated power systems. Relay protection and automation. Wide-area measurement system. Phasor measurement unit. Norms and requirements. Available at: https://docs.cntd.ru/document/ 1200179067 (accessed 19 August 2024)

12. IEEE Standard for Synchrophasor Measurements for Power Systems. IEEE Std C37.118.1-2011, 2011, pp. 1-61. doi: 10.1109/IEEESTD.2011.6111219

13. IEEE Standard for Synchrophasor Data Transfer for Power Systems. IEEE Std C37.118.2-2011, 2011, pp. 1-53. doi: 10.1109/IEEESTD.2011.6111222

14. CIGRE Wide area protection & control technologies. Avail-able at: https://www.e-cigre.org/publications/detail/664-wide-area-protection-control-technologies.html (accessed 19 August 2024)

15. Schneerson E.M. Dinamika slozhnykh izmeritel'nykh organov releynoy zashchity [Dynamics of complex relay protection measuring elements]. Moscow, Energoizdat, 1981. 209 p. (In Russian)

16. Horton P., Swain S., Using superimposed principles (delta) in protection techniques in an increasingly challenging power network. 70th Annual Conference for Protective Relay Engi-neers (CPRE). IEEE, 2017. doi: 10.1109/CPRE.2017.8090059

17. Milano F. Power System Modelling and Scripting. Springer, 2010. 558 p. doi: 10.1007/978-3-642-13669-6

18. Tavlintsev A.S., Suvorov A.A., Gusev S.A., Staymova E.D., Zicmane I., Berzina K. Search for the single-type load schedules of the power facility. 59th Annual International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON). IEEE, 2018. doi: 10.1109/RTUCON.2018.8659825

19. Davis T.A., Rajamanickam S., Sid-Lakhdar W.M. A survey of direct methods for sparse linear systems. Available at: https://people.engr.tamu.edu/davis/publications_files/survey_tech_report.pdf (accessed 19 August 2024)

20. Prado A.J. do, Kurokawa S., Bovolato L.F., Filho J.P., Costa E.C.M. da. Phase-Mode Transformation Matrix Appli-cation for Transmission Line and Electromagnetic Transient Anal-yses. New York, Nova Science Pub, 2011. 40 p. Available at: https://www.researchgate.net/publication/256374815_ Phase-mode_transformation_matrix_application_for_ trans-mission_line_and_electromagnetic_transient_analyses (ac-cessed 19 August 2024)

21. Ribeiro M.V., Szczupak J., Iravani M.R, Gu I.Y.H., Dash P.K., Mamishev A.V. Emerging Signal Processing Techniques for Power Quality Applications. EURASIP Journal on Advances in Signal Processing. 2007, vol. 2007, 87425. doi: 10.1155/2007/87425

22. Ulyanov S.A. Elektromagnitnye perekhodnye protsessy v elektricheskikh sistemakh [Electromagnetic transients in electrical systems]. Moscow-Leningrad, Energiya Publ., 1964. 704 p. (In Russian)

23. Castello P., Gallus G., Muscas C., Pegoraro P.A., Sitzia D., Sulis S. A Statistical Investigation of PMU Errors in Current Measurements. International Instrumentation and Measure-ment Technology Conference (I2MTC). IEEE, 2023. doi: 10.1109/I2MTC53148.2023.10175893

24. Castrup H. Selecting and Applying Error Distributions in Uncertainty Analysis. Measurement Science Conference. Anaheim, 2004. 32 p. Available at: https://www.isgmax.com/ Arti-cles_Papers/Selecting%20and%20Applying%20Error%20Distributions.pdf (accessed 19 August 2024)

25. Soni S., Bhil S., Mehta D., Wagh S., Linear state estimation model using phasor measurement unit (PMU) technology. 9th International Conference on Electrical Engineering, Compu-ting Science and Automatic Control (CCE). Mexico, 2012, pp. 1-6. doi: 10.1109/ICEEE.2012.6421206

26. Xu C., Abur A. Robust linear state estimation with equality constraints. Power and Energy Society General Meeting (PESGM), IEEE, 2016, Pp. 1-5. doi: 10.1109/PESGM.2016.7741552

27. Khalili R., Abur A. Three-phase Linear State Estimation Based on SCADA and PMU Measurements. PES Innovative Smart Grid Technologies Europe (ISGT Europe). IEEE, 2021. Pp. 1-5. doi: 10.1109/ISGTEurope52324.2021.9640030

28. Dobakhshari A.S., Abdolmaleki M., Terzija V., Azizi S. Robust Hybrid Linear State Estimator Utilizing SCADA and PMU Measurements. IEEE Transactions on Power Systems. 2021, no. 36(2), pp. 1264-1273. doi: 10.1109/TPWRS. 2020.3013677

 

Bartolomey P.I., Shender S.E., Senyuk M.D., Klassen V.V. Centralized Remote Backup Protection Based on Synchronized Phasor Measurements in a Partially Moni-tored Electrical Network. Elektrotekhnicheskie sistemy i kompleksy [Electrotechnical Systems and Complexes], 2024, no. 3(64), pp. 12-22. (In Russian). https://doi.org/10.18503/2311-8318-2024-3(64)-12-22