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Multifactorial automated research of fault location methods based on model of 500 kV overhead power line

D.S. Sharygin, A.A. Yablokov, G.A. Filatova

Vestnik IGEU, 2023 issue 4, pp. 5—17

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Abstract in English: 

Background. Fault location is one of the main means of automation of electric power on overhead power lines. Well-timed elimination and organization of maintenance and repair work to put power lines into operation require high accuracy of fault location. Fault location methods based on the parameters of emergency mode using data of electronic (digital or optical) instrument transformers have been developed in Ivanovo State Power Engineering University (ISPU). The use of electronic transformers makes it possible to reduce the instrumental error of fault location due to accurate measurements of electrical quantities during short circuit, including the measurement of the derivative of the primary current. The aim of the study of fault location methods developed by the ISPU team is to evaluate the errors of these methods with a variation of many factors affecting the calculation of fault location in an automated mode using modern modeling tools.

Materials and methods. A multifactorial automated research of the fault location methods is carried out using a simulation model of an ultra-high voltage network in the Matlab + Simulink software package. One-sided and two-sided fault location methods based on the parameters of emergency mode developed in ISPU are chosen as the studied methods. In the research methodology presented in the article, the values of the factors affecting the measurement of fault location, including the parameters of the network element models, are changed using a program in the MATLAB language with parallel calculations performed on different processor cores.

Results. A technique for automated research of fault location methods has been developed including a model of an ultra-high voltage electrical network in Simulink and a simulation model control program in Matlab. More than 100,000 computational experiments have been carried out for each fault location method. According to the study, the influence of transient resistance is excluded, and the influence of the network frequency is practically absent in the two-sided method. The change in the parameters of power transmission lines and equivalent systems is less affected in comparison with the one-sided method. The Monte Carlo method of fault location algorithms has shown that the errors of one-sided method do not meet the requirements of PJSC «FGC UES» standards in less than 20% of cases, and the errors of the two-sided method under the same modeling conditions do not meet the requirements only in 1% of cases.

Conclusions. The developed research methodology makes it possible to evaluate the accuracy of fault location methods when changing the set of factors influencing the measurement in an automated mode. The carried-out research of one-sided and two-sided fault location methods based on emergency mode parameters and data of electronic transformers has showed sufficient accuracy on the model of a 500 kV overhead power transmission line with changes in individual factors affecting the measurement of fault location and when randomly setting a set of parameters of the network model.

References in English: 
  1. Gura, D.N., Korol’kov, A.L. Sravnenie traditsionnykh i volnovogo metodov opredeleniya mesta povrezhdeniya po itogam naturnykh ispytaniy na LEP 220–330 kV [A comparison of conventional and wave methods for fault location according to the results of the experiments of full-scaletests on power lines 220–330 kV]. Materialy VIII Mezhdunarodnoy nauchno-tekhnicheskoy konferentsii «Elektroenergetika glazami molodezhi – 2017», Samara, 02–06 oktyabrya 2017 [Proceedings of the VIII International scientific and technical conference «Electric power industry through the eyes of youth – 2017», Samara, October 02–06, 2017]. Samara, 2017, pp. 415–418.
  2. Guerra, W., Kagan, N. Fault Location and Voltage Estimation in Transmission Systems by Evolutionary Algorithms. 15th International Conference on Intelligent System Applications to Power Systems. Curitiba, Brazil, 2009. DOI: 10.1109/ISAP.2009.5352871.
  3. Liang, R., Yang, Z., Peng, N., Liu, C., Zare, F. Asynchronous Fault Location in Transmission Lines Considering Accurate Variation of the Ground-Mode Traveling Wave Velocity. Energies, 2017, vol. 10, p. 1957. DOI: 10.3390/en10121957.
  4. Podshivalin, A.N., Ismukov, G.N. Adaptatsiya metodov opredeleniya mesta povrezhdeniya k sovremennym trebovaniyam ekspluatatsii liniy elektroperedachi [Adaptation of fault location methods to modern requirements for the operation of power lines]. Materialy IV Mezhdunarodnoy nauchno-tekhnicheskoy konferentsii «Sovremennye napravleniya razvitiya sistem releynoy zashchity i avtomatiki energosistem», Ekaterinburg, 3–7 iyunya 2013 [Proceedings of the IV International scientific and technical conference «Modern trends in the development of relay protection systems and automation of power systems», Yekaterinburg, June 3–7, 2013]. Available at: https://b-ok.org/book/3208751/87a52e.
  5. Chen, X., Jiao, Z. Accurate fault location method of distributionnetwork with limited number of PMUs. Proc. 2018 China Int. Conf. Electricity Distribution (CICED). China, 2018, pp. 1503–1507. DOI: 10.1109/CICED.2018.8592074.
  6. Gama, J.R., Lopes, F.V. On compensating synchronization errors in two-terminal based fault location approaches. Proc. 2017 Workshop Commun. Netw. Power Syst. (WCNPS). Brasília, Brazil, 2017, pp. 1–4. DOI: 10.1109/WCNPS.2017.8253082.
  7. Mashenkov, V.M. Osobennosti opredeleniya mesta povrezhdeniya na VL napryazheniem 110–750 kV [Features of determining the location of damage on overhead lines with a voltage of 110–750 kV]. Moscow: Izdanie Tsentra podgotovki kadrov energetiki, 2005.
  8. Obalin, M.D. Primenenie imitatsionnogo modelirovaniya dlya adaptatsii algoritmov opredeleniya mesta povrezhdeniya liniy elektroperedachi po parametram avariynogo rezhima. Diss. ... kand. tekhn. nauk [The use of simulation modeling for the adaptation of algorithms for determining the location of damage to power lines according to the parameters of the emergency mode. Cand. tech. sci. diss.]. Nizhniy Novgorod, 2016. 181 p.
  9. Grechukhin, V.N. Elektronnye transformatory toka i napryazheniya. sostoyanie, perspektivy razvitiya i vnedreniya na ORU 110–750 kV stantsiy i podstantsiy energosistem [Electronic current and voltage transformers. state, prospects for development and implementation at outdoor switchgear 110–750 kV stations and substations of power systems]. Vestnik IGEU, 2006, issue 4,  pp. 35–42.
  10. Wang, H., Zhang, G., Guo, Z., Wang, J., Cai, X. Application of Electronic Transformers in Digital Substation. 2008 Joint International Conference on Power System Technology and IEEE Power India Conference. New Delhi, India, 2008, pp. 1–5. DOI: 10.1109/ICPST.2008.4745170.
  11. Song, L. Development of a Novel DC Electricity Meter Based on New Electronic Current Transformer. 2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC). Chengdu, China, 2019, pp. 1702–1705. DOI: 10.1109/ITNEC.2019.8729312.
  12. Xu, K., Li, J., Liu, S. A Broadband Response Model of Electronic Current Transformer Applied in Smart Grid. 2020 IEEE International Conference on High Voltage Engineering and Application (ICHVE). Beijing, China, 2020, pp. 1–4. DOI: 10.1109/ICHVE49031.2020.9280068.
  13. Lebedev, V., Filatova, G., Timofeev, A. Development of Remote Fault Location Method based on Synchronized Two-sided Measurement (ICEAM). 2019, pp. 1–5. DOI: 10.1109/ICIEAM.2019.8742783.
  14. Yablokov, A., Filatova, G., Timofeev, A. Using of non-traditional current and voltage sensors for the fault location. MATEC Web of Conferences, 2017, vol. 141, p. 01058. DOI: 10.1051/matecconf/201714101058.
  15. Arzhannikov, E.A., Chukhin, A.M. Metody i pribory opredeleniya mest povrezhdeniya na liniyakh elektroperedachi [Methods and devices for determining the location of a short circuit on lines]. Ivanovo, 1998, p. 74.
  16. Yablokov, A., Filatova, G., Timofeev, A., Research of Methods for Fault Location Determination Using Signals from Digital Current and Voltage Transformers. 2018 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM). 2018, pp. 1–5. DOI: 10.1109/ICIEAM.2018.8728880.
  17. Filatova, G., Yablokov, A., Timofeev, A. Research of fault location algorithm for data metering system based on digital transformers. Proc. 2019 Int. Ural Conf. Electrical Power Eng. (UralCon 2019). 2019, pp. 433–437. DOI: 10.1109/URALCON.2019.8877683.
  18. Yablokov, A., Filatova, G., Timofeev, A. Research of the remote fault location algorithm based on sampled values for measured primary electrical quantities. Proc. Int. Theoretical Practical Conf. Alternative Smart Energy (TPCASE 2018). Lancaster, CA: DEStech Publications, 2018, pp. 302–308. DOI: 10.12783/dteees/tpcase2018/30432.
  19. Bratolyubov, A.A., Ivanov, I.E., Belyaev, P.N. Modelirovanie perekhodnykh protsessov elektroenergeticheskikh sistem [Modeling of transient processes of electric power systems]. Ivanovo, 2017. 116 p. EDN TDGOXV.
  20. Ivanov, I.E. Analiz stepeni variatsii parametrov vysokovol'tnykh vozdushnykh liniy elektroperedachi [Investigation of the variations of overhead high voltage transmission line parameters]. International research journal, 2018, no. 12, pp. 95–100. https://doi.org/10.23670/IRJ.2018.78.12.016.
Key words in Russian: 
определение места повреждения, параметры аварийного режима, электронный трансформатор, цифровой комбинированный трансформатор тока и напряжения, оптический измерительный трансформатор, имитационное моделирование
Key words in English: 
fault location, emergency mode parameters, electronic transformer, digital current and voltage transformer, optical instrument transformer, simulation modeling
The DOI index: 
10.17588/2072-2672.2023.4.005-017
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