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The use of modern software and hardware for remote control and monitoring of damage in distributed networks with a voltage of 10 kV is justified taking into account economic efficiency. It is proposed to use unmanned aerial vehicles (UAVs) as part of a software and hardware complex with client-server applications. A model has been developed for calculating the time of fault detection and analyzing data from the UAV diagnostic module. This module controls the physical parameters of 10 kV distributed networks in difficult terrain and various weather conditions. Data transmission from the diagnostic module installed on the UAV is carried out via a radio channel (GSM, Wi-Fi, GPRS, EDGE, UMTS, HSDPA, HSUPA, HSPA+, DC-HSPA+, EDGE, UMTS, CDMA+GSM, GSM). The choice of radio channel is determined by the coverage conditions in the UAV coverage area, taking into account the best reception. Primary data processing is performed using an Android application installed on board the UAV. The server software includes three main components: collecting information from the UAV, visually displaying the UAV’s location on a power transmission map, as well as analyzing incoming data and calculating the best options for troubleshooting power lines. The possibility of using a UAV with a route correction function in both automatic and manual mode is being considered. This is necessary to achieve the goal of significantly reducing the troubleshooting time in 10 kV distributed networks.
Czasopismo
Rocznik
Tom
Strony
12--17
Opis fizyczny
Bibliogr. 26 poz., rys.
Twórcy
autor
- State Biotechnological University, Kharkiv, Ukraine
autor
- National University of Civil Protection of Ukraine, Kharkiv, Ukraine
autor
- Sumy State University, Sumy, Ukraine
autor
- Kharkiv National Automobile and Highway University, Kharkiv, Ukraine
autor
- Kharkiv National University of Radio Electronics, Kharkiv, Ukraine
Bibliografia
- 1. Al_Issa H.A., Drechny M., Trrad I., Qawaqzeh M., Kuchanskyy V., Rubanenko O., Kudria S., Vasko P., Miroshnyk O., Shchur T., 2022. Assessment of the Effect of Corona Discharge on Synchronous Generator Self-Excitation. Energies, 15(6), 2024. DOI: 10.3390/en15062024
- 2. Bezruchko, V., Buinyi, R., Dikhtyaruk, I., Sereda, A. 2023. The calculation of the Sectionalizer location in Medium Voltage Distribution Systems to reduction the Expected Energy Not-Supplied to consumer. 2023 IEEE 4th KhPI Week on Advanced Technology (KhPIWeek), Kharkiv, Ukraine, 1-4, DOI: 10.1109/KhPIWeek61412.2023.10312921.
- 3. Bujnyj, R. et al., 2002, New approaches to accounting for the reliability of electricity supply to consumers in market conditions. Technical Electrodynamics, 5, 85-88.
- 4. Bujnyj, R. et al., 2004, Zonal Structure Method in Optimizing Reliability of 10 kV Distribution Networks. Electrification and automation of agriculture, 2, 30-35.
- 5. Cozza, A. et al., 2021, Surge Compression for Improved Fault Location Accuracy in Full Transient-Based Methods. IEEE Sensors Journal, 21 (2), pp. 995-1008. ff10.1109/JSEN. 2020.2989202ff. ffhal-02546433f
- 6. Grib, O., 2009, Method for determining short circuit locations. Power supply. Power engineering. Energy audit, 11, 29-31.
- 7. Havrylenko, Y., Kholodniak, Y., Halko, S., Vershkov, O, Bondarenko, L, Suprun, O., Miroshnyk, O., Shchur, T., Śrutek, M., Gackowska, M., 2021. Interpolation with specified error of a point series belonging to a monotone curve. Entropy, 23(5), 493. DOI: 10.3390/e23050493
- 8. Havrylenko, Y., Kholodniak, Y., Halko, S., Vershkov, O., Miroshnyk, O., Suprun, O., Dereza, O., Shchur, T., Śrutek, M. 2021. Representation of a Monotone Curve by a Contour with Regular Change in Curvature. Entropy, 23, 923. DOI: 10.3390/e23070923
- 9. Hussienat, L. H., Myrhorod, D., Mykhailo, S., Buinyi, R., Bezruchko, V., Halko, S., 2023. Calculation of the Optimum Parameters of Electrical Energy Storage and Generating Sources in Autonomous Local Electrical Systems. 2023 IEEE 5th International Conference on Modern Electrical and Energy System (MEES), Kremenchuk, Ukraine, 1-6, DOI: 10.1109/MEES61502.2023.10402362.
- 10. Izykowski, J. et al., 2010, Accurate Noniterative Fault Location Algorithm Utilizing Two-End Unsynchronized Measurements. Transaction on Power Delivery, 25(1), 72-80. DOI: 10.1109/tpwrd.2009.2035222.
- 11. Karaiev, O., Bondarenko, L., Halko, S., Miroshnyk, O., Vershkov, O., Karaieva, T., Shchur, T., Findura, P., Prístavka, M., 2021. Mathematical modelling of the fruit-stone culture seeds calibration process using flat sieves. Acta Technologica Agriculturae, 24(3), 119-123. DOI: 10.2478/ata-2021-0020
- 12. Khasawneh, A., Qawaqzeh, M., Kuchanskyy, V., Rubanenko, O., Miroshnyk, O., Shchur, T., Drechny, M., 2021. Optimal DeterminationMethod of the Transposition Steps of An Extra-High Voltage Power Transmission Line. Energies, 14(20), 6791. DOI: 10.3390/en14206791
- 13. Komada, P., Trunova, I., Miroshnyk, O., Savchenko, O., Shchur, T., 2019, The incentive scheme for maintaining or improving power supply quality. Przegląd elektrotechniczny, 5, 79-82. DOI: 10.15199/48.2019.05.20
- 14. Levterov, A., 2011, System of mobile monitoring of the emergency situation with use of unmanned aircraft system. Collection of scientific papers. Problems of emergency situations, 14, 112-117
- 15. Lezhenkin, O.M., Halko, S.V., Miroshnyk, O.O., Vershkov, O.O., Lezhenkin, I.O., Suprun, O.M., Schur, T.G., Kruszelnicka, W., Kasner, R., 2020. Investigation of the separation of combed heap of winter wheat. In Proceedings of the Journal of Physics: Conference Series, International Conference on Applied Sciences (ICAS 2020), Hunedoara, Romania, 20–22 May 2020, 1781, 12016. DOI: 10.1088/1742-6596/1781/1/012016
- 16. Markowska, K., et al., 2024, Analysis and improvement of power quality in the onboard electrical power systems within a self-propelled floating crane, International Journal of Electrical Power & Energy Systems, 161, 110179, DOI: 10.1016/j.ijepes.2024.110179.
- 17. Miroshnyk, O., Moroz, O., Shchur, T., Chepizhnyi, A., Qawaqzeh, M., Kocira, S., 2023. Investigation of Smart Grid Operation Modes with Electrical Energy Storage System. Energies, 16(6), 2638. DOI: 10.3390/en16062638
- 18. Pereira, C.E.M. and Zanetta, L.C.J., 2005, Optimization algorithm for Fault Location in Transmission Lines Considering Current Transformer Saturation. Transaction on Power Delivery, 20(2), 603-608. DOI: 10.1109/tpwrd.2004.838521.
- 19. Qawaqzeh M.Z., Miroshnyk O., Shchur T., Kasner R., Idzikowski A., Kruszelnicka W., Tomporowski A., Bałdowska-Witos P., Flizikowski J., Zawada M., et al., 2021. Research of Emergency Modes of Wind Power Plants Using Computer Simulation. Energies. 14(16), 4780. DOI: 10.3390/en14164780
- 20. Sclater N. and Traister J.E., 2003. Handbook of electrical design details. 2nd Edition. McGraw-Hill, USA.
- 21. Strohii, A., Buinyi, R., Bezruchko, V., Krasnozhon, A., Kulik, B., 2023. The assessment of the leakage current through pin-type insulators with defect or contaminated of medium voltage overhead power lines. 2023 IEEE 4th KhPI Week on Advanced Technology (KhPIWeek), Kharkiv, Ukraine, pp. 1-4, DOI: 10.1109/KhPIWeek61412.2023.10312882.
- 22. Timchuk, S. et al., 2020, Application of UAVs and systems for remote monitoring and detection of damage to power lines based on a client-server application. Environmental Engineering, Kharkov: KhNTUA, 2(16), 6- 11. DOI: 10.37700/enm.2020.2.
- 23. Tymchuk, S. and Sirotenko, M., 2015, The search algorithm for optimal reliability increasing system parameters in 10 kV branched distribution networks. Eastern-European Journal of Enterprise Technologies, 6(8), 4-10.
- 24. Xinzhou Dong, et al., 2008, Optimizing Solution of Fault Location Using Single Terminal Quantities. Science in China, Series E: Technological Sciences, 51(6), 761-772. DOI:10.1007/s11431-008-0047-3.
- 25. Xinzhou, D. et al., 2002, Optimizing solution of fault location. IEEE Power Engineering Society Summer Meeting, 3, 1113-1117. DOI: 10.1109/ pess.2002.1043442.
- 26. You, H. et al., 2003, Self-healing in power systems: an approach using islanding and rate of frequency decline-based load shedding. Transactions on Power Systems, 18, 174-181. DOI: 10.1109/tpwrs.2002.807111.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2025).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-ac9ab5be-a461-40f4-90f1-8f64ef7052f3
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