Главная  /  Vestnik Chuvashskogo universiteta, 2023, no. 4. Topic of this Issue: Technical Sciences  /  Emergency modes modeling in a complex load node: high-frequency components of signals

Emergency modes modeling in a complex load node: high-frequency components of signals

DOI: 10.47026/1810-1909-2023-4-151-159

УДК 621.3.07

ББК 31.247

Aleksandr L. SLAVUTSKIY

Key words

electrical complexes, emergency modes, fault classification, high-frequency components of current and voltage

Abstract

The purpose of the study is to show the features of the occurrence of high–frequency components in current and voltage signals in various elements of the electrical complex by the example of modeling emergency modes in power lines and a complex load node and to analyze their mutual influence.

Materials and methods. The signals of currents and voltages during transients in a power line and the load node with a three-winding transformer were modeled using the author’s software. The calculations are based on the method of synthetic circuits (Dommel’s algorithm). The main attention is paid to the occurrence of high-frequency components of current and voltage during short circuits and switching.

Results. Modeling of the three-phase short circuit in a 110 kV transmission line when it is divided into P-sections demonstrates how significantly the level of high-frequency components differs in each of the three phases. This is manifested primarily in voltage signals. In a complex load node with a 110/35/10 kV transformer, short circuits and switching on the 35 kV side significantly affect the currents and voltages on the 10 kV side. It is shown that a higher level of high-frequency components of current signals corresponds to energy recovery modes in case of imbalance and run-out of the powerful asynchronous motor on the 10 kV side. The possibility of using the obtained results for the classification of faults in electrical systems is discussed.

Conclusions. The level and spectral composition of the currents and voltages high-frequency components in transient modes depends on the initial phase and is of interest for the faults analysis and classification. The nature of these oscillations is determined by the resonant frequencies of the electrical circuits that occur during switching and short circuits.

References

  1. Andreev O.N., Ksenofontov S. I., Slavutskiy A.L. Modelirovaniye i neyrosetevaya obrabotka signalov pri perekhodnykh protsessakh v elektrotekhnicheskikh kompleksakh. [Modeling and neural network signal processing at transient processes in electrical complexes]. Cheboksary, 2023, 212 p.
  2. Afanasyev A.U., Makarov V.G., Khannanova V. N. Identifikatsiya parametrov trekhfaznogo asinkhronnogo dvigatelya pri izmenenii nachal’nykh znacheniy otsenok v shirokom diapazone. [Identification of parameters of three-phase asynchronous motor when changing the initial values of the estimates in a wide range]. Power engineering: research, equipment, technology, 2015, no. 11-12, pp. 87–96.3.
  3. Bulichev A.V., Gribkov M.A. Analiz protsessov samozapuska elektrodvigateley v sovremennykh elektricheskikh raspredelitel’nykh setyakh s pozitsiy releynoy zashchity [Analysis of self-starting processes of electric motors in modern electrical distribution networks from the perspective of relay protection]. Relay protection and automation, 2023, no. 1(50), pp. 30–38.
  4. Gusev Yu.P., Kayumov A.G., Govorin V.V. Uchet nesinfaznosti generatorov pri raschetakh tokov v nachal’nyy moment korotkogo zamykaniya [Consideration of the Out-of-Phase Operating Conditions of Generators in the Power System in Calculating the Currents at the Short-Circuit Fault Initial Moment]. Vestnik Moskovskogo energeticheskogo instituta, 2019, no. 4, pp. 11–17. DOI: 10.24160/1993-6982-2019-4-11-17.
  5. Lachugin V.F. Volnovyye metody opredeleniya mesta povrezhdeniya na vozdushnykh liniyakh elektroperedachi [Traveling wave fault location methods on overhead transmission lines]. Relay protection and automation, 2023, no. 1(50), pp. 58–61.
  6. Madzhidov A.S.. Issledovaniye samozapuska asinkhronnykh dvigateley 0,4 kV sobstvennykh nuzhd elektrostantsiy [Studying self-starting of 0.4 kV induction motors of power plant auxiliary needs]. iPolytech Journal, 2020, vol. 24, no. 5, pp. 1053–1068. DOI: https://doi.org/10.21285/1814-3520-2020-5-1053-1068.
  7. Sattarov R.R., Garafutdinov R.R., Krylov A.A. Metod analiticheskogo rascheta vybega asinkhronnykh dvigateley pod deystviyem tekhnologicheskoy nagruzki [Analytical calculation method of asynchronous motors rundown under process load]. Petroleum engineering, 2022, vol. 20, no. 4, pp. 123–132. DOI: 10.17122/ngdelo-2022-4-123-132.
  8. Sattarov R.R., Garafutdinov R.R. Issledovaniye raboty gruppy asinkhronnykh dvigateley pri kratkovremennykh provalakh napryazheniya dlya usloviy neftyanoy promyshlennosti [Research of the operation of a group of asynchronous motors at short-term voltage slopes for the conditions of the oil industry]. Power engineering: research, equipment, technology, 2020, vol. 22, no. 6, pp. 92–100.
  9. Slavutskiy A.L. Modelirovaniye perekhodnykh rezhimov uzla nagruzki s asinkhronnym dvigatelem v faznykh koordinatakh [Modeling transients in the load nodes containing the induction motors in phase coordinates]. Electrical and data processing facilities and system, 2015, vol. 11, no. 1, pp. 38–45.
  10. Bhattacharya B., Sinha A. Intelligent Fault Analysis in Electrical Power Grids. In: IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI), Boston, MA, USA, 2017, pp.985–990. DOI: 10.1109/ICTAI.2017.00151.
  11. Bulychev A.V., Gribkov M.A., Dmitrenko A.M., Okhotkin G.P. Remote Protection Based on Digital Methods of Estimating Distance to Points of Fault. Russian Electrical Engineering, 2021, vol. 92, no. 8, pp. 433–437. DOI: 10.3103/S106837122108006X.
  12. Dommel H.W. Digital Computer Solution of Electromagnetic Transients in Single- and Multiphase Networks. IEEE Transactions on Power Apparatus and Systems, 1969, vol. PAS-88, no. 4, pp. 388–399. DOI: 10.1109/TPAS.1969.292459.
  13. Krause P. C., Wasynczuk O., Sudhoff S.D. Analysis of the machinery and drive systems. N.Y., IEEE PRESS, 2002, 630 p. DOI: https://ieeexplore.ieee.org/book/5265638.
  14. Krause P.C., Krause T.C. Introduction to Modern Analysis of Electric Machines and Drives. Wiley-IEEE Press, 2023, 632 p. DOI: https://ieeexplore.ieee.org/book/9989443.
  15. Kulikov A., Loskutov A., Bezdushniy D. Relay Protection and Automation Algorithms of Electrical Networks Based on Simulation and Machine Learning Methods. Energies, 2022, vol. 15, 6525. DOI: https://doi.org/10.3390/en15186525.
  16. Lamets, Y., Podchivaline A., Chevelev A., Nudelman G., Zakonjšek J. Equivalent transforms of models, conditions and measurements in relay protection. In: IEEE Conference Publication: Eighth IEE International Conference on Developments in Power System Protection. Amsterdam, 2004, pp. 76–79. DOI: 10.1049/cp:20040067.
  17. Lin H., Ebrahimi S., Mahdavyfakhr M., Jatskevich J. Analysis of sliding-mode-controlled boost converters with mixed loads. In: 2020 IEEE 21st Workshop on Control and Modeling for Power Electronics (COMPEL), Aalborg, Denmark, 2020, pp. 1–8. DOI: 10.1109/COMPEL49091.2020.9265740.
  18. Majidov A., Kayumov A.G., Hafizov S. Investigation of the Self-Starting Process of a Low-Power Asynchronous Motor. In: Proceedings of the 2021 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2021, Moscow, 2021, pp. 1462–1468. DOI: 10.1109/ElConRus51938.2021.9396181.
  19. Ni H., Fang S., Lin H.A. Simplified Phase-Controlled Switching Strategy for Inrush Current Reduction. IEEE Transactions on Power Delivery, 2021, vol. 36, no. 1, pp. 215–222. DOI: 10.1109/TPWRD.2020.2984234.
  20. Slavutskii L.A., Ivanova N.N. Using the simplest neural network as a tool for fault location in power lines. In: AIP Conference Proceedings, Moscow, 01/04/2020 – 02/04/2020. Moscow, 2022, 030006. DOI: 10.1063/5.0074926.
  21. Slavutskiy A.L., Vasilieva L.N., Grigoriev V.G. et al. Transients in the load node at power loss: Group run-out of induction motors. In: E3S Web of Conferences: 2019 International Scientific and Technical Conference Smart Energy Systems, SES 2019, Kazan, 2019, Sept. 18–20. Vol. 124. Kazan, EDP Sciences, 2019, 05010. DOI: 10.1051/e3sconf/201912405010.
  22. Vasyliv K.M. A mathematical model of thermal power plants smoke exhausters induction motors system operation modes. Electrical engineering & electromechanics, 2017, no. 3, pp. 19–26. DOI: https://doi.org/10.20998/2074-272X.2017.3.03.
  23. Zheng F., Sun F., Zhou L., Liu W. et al. Study on Large Asynchronous Motor Starting Check for Auxiliary Power System. In: 2010 Asia-Pacific Power and Energy Engineering Conference. Chengdu, China, 2010, pp. 1–4. DOI: 10.1109/APPEEC.2010.5448843.

Information about the author

Aleksandr l. Slavutskiy – Candidate of Technical Sciences, Deputy Head of Software Development Department, Separate subdivision of Unitel Engineering LLC, Russia, Cheboksary (slavutskii@gmail.com; ORCID: https://orcid.org/0000-0002-6315-2445).

For citations

Slavutskiy A.L.  EMERGENCY MODES MODELING IN A COMPLEX LOAD NODE: HIGH-FREQUENCY COMPONENTS OF SIGNALS. Vestnik Chuvashskogo universiteta, 2023, no. 4, pp. 151–159. DOI: 10.47026/1810-1909-2023-4-151-159 (in Russian).

Download the full article