Abstract
The development of the digital technology industry, the growing dependence of industry and household consumers on electricity, and the world’s entry into the fourth industrial revolution (Industry 4.0) are factors in the growing need for smart, efficient and reliable next-generation energy systems. Building a new generation of smart grids (“Smart grid”) involves the use of advanced information, communication and computing technologies to ensure the flexibility and efficiency of the grid at all stages of electricity from its production to consumption. It should also be borne in mind that the main purpose of electrical systems in general and electrical networks in particular is to meet the needs of consumers to ensure a sufficiently stable and reliable supply of electricity. Stable and reliable supply of electricity caused by power outages is generally undesirable, and in some cases can lead to very unpleasant consequences—disruption of communication systems, shutdown of technological processes of industrial enterprises, the impossibility of normal living conditions and activities of the population. To prevent this, special measures using for during the design and operation of electrical networks and systems to improve the operation of all their elements and increase the reliability of electricity supply to consumers. One of the key measures is the construction of backup systems, the use of special protection devices and automation, more careful supervision of electrical installations during their operation, etc. All this requires significant of biggest capital investment for energy industry. In many cases, in existing electrical networks, it is advisable to use factual monitoring tools that allow obtaining telemetry data and control and diagnostic parameters from a sufficient number of grid points to ensure automatic power recovery or damage detection to minimize the consequences of failures, localization of damage. Therefore, damage to any element in the electrical network or the system as a whole, there are transients that occur quickly. The mode parameters are significantly different from the allowable ones. Faults indicators for overhead and cable power lines are an effective means of monitoring that increase the efficiency of locating damage to electrical networks. Faults indicators its tools that allow automatic indication of the damaged section of the line, and used to determine interphase short circuits and SPGFs, detection of stable and unstable damage, depending on the type of neutral in low and medium voltage distribution networks. Therefore, this section of the monograph is devoted to issues related to ensuring the use of faults indicators for LV and MV distribution networks, and was contains:
-
review of faults indicators application in the distribution power network;
-
calculation of parameters for the selection of the optimal number of faults indicators conditions in the structure of monitoring system of radial electrical networks depending on the cost of maintenance of distribution power network;
-
taking into account the components of losses of the energy supply company related to power outages to consumers (shortage of electricity);
-
analysis of emergency current zones in LV and MV grid to calculate ranges of measurement of faults indicators.
Consideration and solution of the above issues allowed forming within these work requirements for the use of faults indicators as part smart monitoring system of distribution power network of IPS of Ukraine. Moreover, need to use faults indicators for LV and MV power grid to ensure recovery power supply associated with unplanned interruptions in the operation of electrical networks.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Henriques, H.O., Correa, M.R.L.S.: Use of smart grids to monitor technical losses to improve non-technical losses estimation. In: Proceedings of the 7th Brazilian Electrical Systems Symposium, pp. 1–6 (2018). https://doi.org/10.1109/sbse.2018.8395924
Zaitsev, I., Levytskyi, A., Bereznychenko, V.: Hybrid diagnostics systems for power generators faults: systems design principle and shaft run-out sensors. In: Kyrylenko, O., Zharkin, A., et al. (eds.) Power Systems Research and Operation: Selected problems, pp. 71–98. Springer (2021). https://doi.org/10.1007/978-3-030-82926-1_4
Zaitsev, I., Levytskyi, A., Kromplyas, B, Rybachok, P.: Optical fiber in nuclear power plants: applications to improve the reliability, safety and work stability of fault control instrumentation. In: Zaporozhets, A. (eds.) Systems, Decision and Control in Energy III, pp. 123–138. Springer (2021). https://doi.org/10.1007/978-3-030-87675-3_7
Kyrylenko, O.V., Blinov, I.V., Tankevych, S.E.: Smart grid and organization of information exchange in electric power systems. Tekhnichna elektrodynamika 3, 44–54 (2012)
Baranov, G., Komisarenko O., Zaitsev, I.O., Chernytska, I.: SMART technologies for transport tests networks, exploitation and repair tools. In: Proceedings of the International Conference Artificial Intelligence and Smart Systems (ICAIS), 25–27 March 2021, Pichanur (India), pp. 621–625 (2021). https://doi.org/10.1109/ICAIS50930.2021.9396055
Postranecky, M., Svitek, M.: Smart city near to 4.0—an adoption of industry 4.0 conceptual model. In: Proceedings in Smart City Symposium Prague (SCSP), Prague (2017)
Chin-Ying, H., Tsung-En, L., Chia-Hung, L.: Optimal placement of fault indicators using the immune algorithm. IEEE Trans. Power Syst. 26(1), 38–45 (2011). https://doi.org/10.1109/TPWRS.2010.2048725
Worighi, I. Maach, A., Hafid, A.: Modeling a smart grid using objects interaction. In: Proceedings of the 3rd International Renewable and Sustainable Energy Conference (IRSEC), pp. 1–6 (2015). https://doi.org/10.1109/IRSEC.2015.7454968
Zaitsev, I., Shpylka, A., Shpylka, N.: Output signal processing method for fiber bragg grating sensing system. In: Proceedings of the 15th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET-2020), pp. 152–155 (2020). https://doi.org/10.1109/TCSET49122.2020.235412
Nguyen, C.P., Flueck, A.J.: Modeling of communication latency in smart grid. In: Proceedings of the IEEE Power and Energy Society General Meeting (2011)
Lopes, A.J., Lezama, R., Pineda, R.: Model based systems engineering for smart grids as systems of systems. Procedia Comput. Sci. 6, 441–450 (2011)
Nutaro, J.: Designing power system simulators for the smart grid: combining controls communications and electro-mechanical dynamics. In: Proceedings of the 2011 IEEE Power Engineering Society General Meeting, pp. 1–5 (2011)
Li, W., Zhang, X.: Simulation of the smart grid communications: challenges techniques and future trends. Comput. Electr. Eng. 40(1), 270–288 (2014)
Blinov, I., Zaitsev, I.O., Kuchanskyy, V.V.: Problems, methods and means of monitoring power losses in overhead transmission lines. In: Babak, V., Isaienko, V., Zaporozhets, A. (eds.) Systems, Decision and Control in Energy I, pp. 123–136. Springer (2020). https://doi.org/10.1007/978-3-030-48583-2_8
Blinov, I.V., Parus, E.V., Polishchuk, O.Y., Zhuravlyov, I.V.: Monitoring of overhead power lines using damage indicators. Energ. Electr. 9, 7–11 (2013)
Applegate, D.L., Bixby, R.M., Chvátal, V., Cook, W.J.: The traveling salesman problem. In: Combinatorial Optimization Algorithms and Combinatorics, vol. 21, pp. 527–562 (2008)
Parus, Y.V., Blinov, I.V., Bets, O.Y.: Fault indicators location and quantity selection on distribution line as a problem of combinatorial optimization. Tech. Electrodyn. 58–60 (2016). https://doi.org/10.15407/techned2016.05.058
Shahsavari, A., Mazhari, S.M., Fereidunian, A., Lesani, H.A.: Fault indicator deployment in distribution systems considering available control and protection devices: a multi-objective formulation approach. IEEE Trans. Power Syst. 5(29), 2359–2369 (2014)
Rezinkina, M.M., Sokol, Y.I., Zaporozhets, A.O., Gryb, O.G., Karpaliuk, I.T., Shvets, S.V.: Monitoring of energy objects parameters with using UAV. In: Control of Overhead Power Lines with Unmanned Aerial Vehicles, vol. 359, pp. 1–8. (2021) https://doi.org/10.1007/978-3-030-69752-5_1
Senderovich, G.A., Zaporozhets, A.O., Gryb, O.G., Karpaliuk, I.T., Shvets, S.V., Samoilenko, I.A.: Automation of determining the location of damage of overhead power lines. In: Control of Overhead Power Lines with Unmanned Aerial Vehicles, vol. 359, pp. 35–53 (2021). https://doi.org/10.1007/978-3-030-69752-5_3
Bjerkan, E., Venseth, T.: Locating earth-faults in compensated distribution networks by means of fault indicators. In: Proceedings of the International Conference on Power Systems Transients (IPST’05), 107 (2005)
Jahedi, A., Javidan, J., Nasiraghdam, H.: Multi-objective modeling for fault indicators placement using of NSGA II to reduce off time and costs in distribution network. Tech. Phys. Prob. Eng. 6(21), 106–111 (2014)
Ho, C.-Y., Lee, T.-E., Lin, C.-H.: Optimal placement of fault indicators using the immune algorithm. IEEE Trans. Power Syst. 26(1), 38–45. (2011)
Akbari, M., Ghaffarzadeh, N.: Optimal fault indicator placement in distribution networks using SFLA algorithm. World Appl. Programm. 4(8), 181–192 (2014)
Senderovich, G.A., Zaporozhets, A.O., Gryb, O.G., Karpaliuk, I.T., Shvets, S.V., Samoilenko, I.A.: Experimental studies of the method for determining location of damage of overhead power lines in the operation mode. In: Control of Overhead Power Lines with Unmanned Aerial Vehicles, vol. 359, pp. 55–77 (2021). https://doi.org/10.1007/978-3-030-69752-5_4
Babak, V.P., Babak, S.V., Eremenko, V.S., Kuts, Y.V., Myslovych, M.V., Scherbak, L.M., Zaporozhets, A.O.: Models and measures for the diagnosis of electric power equipment. In: Models and Measures in Measurements and Monitoring, vol. 360, pp. 99–126 (2021). https://doi.org/10.1007/978-3-030-70783-5_4
Lee, C., Ho, T., Lin, C.: Optimal placement of fault indicators using the immune algorithm. IEEE Trans. Power Syst. 26(1), 38–45 (2011)
Kyrylenko, O.V., Pavlovsky, V.V., Blinov, I.V.: Scientific and technical support for organizing the work of the IPS of Ukraine in synchronous mode with the Continental European power system ENTSO-E. Tech. Electrodyn 5, 55–66 (2022). https://doi.org/10.15407/techned2022.05.059
Parus, Y.V., Blinov, I.V., Bets, O.Y.: Fault indicators location and quantity selection on distribution line as a problem of combinatorial optimization. Tech. Electrodyn. 5, 58–60 (2016). https://doi.org/10.15407/techned2016.05.058.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this chapter
Cite this chapter
Blinov, I., Zaitsev, I., Parus, E., Bereznychenko, V. (2023). Faults Indicators Applying for Smart Monitoring System for Improving Reliability Electric Power Distribution. In: Kyrylenko, O., Denysiuk, S., Derevianko, D., Blinov, I., Zaitsev, I., Zaporozhets, A. (eds) Power Systems Research and Operation. Studies in Systems, Decision and Control, vol 220. Springer, Cham. https://doi.org/10.1007/978-3-031-17554-1_11
Download citation
DOI: https://doi.org/10.1007/978-3-031-17554-1_11
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-17553-4
Online ISBN: 978-3-031-17554-1
eBook Packages: EngineeringEngineering (R0)