A power distribution network with an automated information-and-measurement system for electric-power metering is considered. The tasks are to detect unauthorized power (electricity) consumption in the phases of the network, to identify the consumers, and to evaluate the unaccounted power consumption currents using the metering system. The method previously proposed to accomplish these tasks using a simplified three-phase network equivalent circuit is analyzed. Its shortcomings are demonstrated, and a new method for detecting, calculating, and monitoring unauthorized power consumption is proposed. This method involves comparison of measured input currents and those calculated from the readings of consumers’ metering devices, given the parameters of the network conductors and supply voltages. It is shown that the leakage current depends on the difference between these currents and the location of the unauthorized power consumption in the network circuit. Consumers with current leakages are identified by analyzing the calculated impedance of network conductors. The proposed method can be used to implement new diagnostic functions in modern electric-power metering systems.
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References
T. Ahmad, H. Chen, J.Wang, et al., “Review of various modeling techniques for the detection of electricity theft in smart grid environment,” Renew. Sust. Energy Rev., 82, 2916 – 2933 (2018).
F. D. S. Savian, J. C. M. Siluk, F. M. Nascimento, et al., “Nontechnical losses: a systematic contemporary article review,” Renew. Sust. Energy Rev., 147, 111 – 205 (2021). https://doi.org/10.1016/j.rser.2021.111205
M. Tariq and H. V. Poor, “Electricity theft detection and localization in grid-tied microgrids,” IEEE Trans. Smart Grid, 9(3), 1920 – 1929 (2018). https://doi.org/10.1109/TSG.2016.2602660
S. C. Yip, W. N. Tan, C. K. Tan, et al., “An anomaly detection framework for identifying energy theft and defective meters in smart grids,” Int. J. Electr. Power Energy Syst., 101, 189 – 203 (2018).
J. B. Leite and J. R. S. Mantovani, “Detecting and locating nontechnical losses in modern distribution networks,” IEEE Trans. Smart Grid, 9(2), 1023 – 1032 (2018).
P. Biswas, H. Cai, B. Zhou, et al., “Electricity theft pinpointing through correlation analysis of master and individual meter readings,” IEEE Trans. Smart Grid, 11(4), 3031 – 3042 (2019). https://doi.org/10.1109/TSG.2019.2961136
M. Buzau, J. Tejedor-Aguilera, P. Cruz-Romero, et al., “Detection of non-technical losses using smart meter data and supervised learning,” IEEE Trans. Smart Grid, 10, 2661 – 2670 (2019).
G. M. Messinis, A. E. Rigas, and N. D. Hatziargyriou, “A hybrid method for non-technical loss detection in smart distribution grids,” IEEE Trans. Smart Grid, 10(6), 6080 – 6091 (2019). https://doi.org/10.1109/TSG.2019.2896381
M. I. Danilov and I. G. Romanenko, “Method of identification of points of uncontrollable power consumption in 0.4 kV electrical networks,” Izv. Vuzov. Élektromekh., 62(4), 90 – 96 (2019). https://doi.org/10.17213/0136-3360-2019-4-90-96
T. T. Omorov, B. K. Takyrbashev, T. D. Koybagarov, et al., “Method for identification of unauthorized electricity consumption in a distribution network using data from the ACEMS,” Élektr. Stantsii, No. 2(1051), 37 – 41 (2019).
Y. Gao, B. Foggo, and N. Yu, “Aphysically inspired data-driven model for electricity theft detection with smart meter data,” IEEE Trans. Industr. Inf., 14(8), 5076 – 5088 (2019). https://doi.org/10.1109/TII.2019.2898171
T. S. D Ferreira, F. C. L. Trindade, and J. C. M. Vieira, “Load flow-based method for nontechnical electrical loss detection and location in distribution systems using smart meters,” IEEE Trans. Power Syst., 35, 3671 – 3681 (2020).
M. I. Danilov and I. G. Romanenko, “Method for calculation and monitoring of nontechnical electric-power losses in a 380 V distribution network controlled by a metering system,” Élektroenerg. Peredacha Raspred., No. 6(63), 46 – 53 (2020).
M. I. Danilov, “Method for identifying single current leaks in the phases of a distribution network controlled by an automated metering system,” Vestn. YuUrGU. Ser. Énerget., 21(2), 41 – 52 (2021). https://doi.org/10.14529/power210205
M. I. Danilov, “Identification and calculation of electric-power losses by automated metering systems due to unauthorized power consumption in distribution networks,” Élektrichestvo, No. 6, 51 – 61 (2021). https://doi.org/10.24160/0013-5380-2021-651-661
G. Cavraro and R. Arghandeh, “Power distribution network topology detection with time-series signature verification method,” IEEE Trans. Power Syst., 33(4), 3500 – 3509 (2018). https://doi.org/10.1109/TPWRS.2017.2779129
S. J. Pappu, N. Bhatt, R. Pasumarthy, et. al., “Identifying topology of low voltage distribution networks based on smart meter data,” IEEE Trans. Smart Grid, 9, 5113 – 5122 (2018).
G. Cavraro, V. Kekatos, and S. Veeramachaneni, “Voltage analytics for power distribution network topology verification,” IEEE Trans. Smart Grid, 10(1), 1058 – 1067 (2019). https://doi.org/10.1109/TSG.2017.2758600
Ya. I. Kuzkina and I. I. Golub, “Identification of the phases of connection of smart meters in a low-voltage distribution network,” Vestn. Irkutsk. Gos. Tekhn. Univ., 24(1), 135 – 144 (2020).
M. Lave, M. J. Reno, and J. Peppanen, “Distribution system parameter and topology estimation applied to resolve low-voltage circuits on three real distribution feeders,” IEEE Trans. Sust. Energy, 10(3), 1585 – 1592 (2019).
M. I. Danilov and I. G. Romanenko, “On determination of vectors of current and voltage in a distribution network from data of the automated measuring and information system for commercial electric power accounting,” Vestn. YuUrGU. Ser. Énerget., 19(4), 87 – 94 (2019). https://doi.org/10.14529/power190410
V. C. Cunha, W. Freitas, F. C. L. Trindade, S. Santoso, “Automated determination of topology and line parameters in low voltage systems using smart meters measurements,” IEEE Trans. Smart Grid, 11(6), 5028 – 5038 (2020).
R. Dutta, V. S. Patel, S. Chakrabarti, A. Sharma, R. K. Das, and S. Mondal, “Parameter estimation of distribution lines using SCADA measurements,” IEEE Trans. Instr. Meas., 70, 1 – 11 (2020). https://doi.org/10.1109/TIM.2020.3026116
M. I. Danilov and I. G. Romanenko, “On determination of the parameters of a distribution network from data of the automated measuring and information system for commercial electric power accounting,” Vestn. YuUrGU. Ser. Énerget., 20(2), 5 – 14 (2020). https://doi.org/10.14529/power200201
M. I. Danilov, I. G. Romanenko, and R. E. Berezhnoy, “On the possibility of calculating of the wires complex impedances and the repeat grounding connections resistances in the distribution network 380 V according to the accounting system data,” in: Proc. Int. Conf. on Industrial Engineering, Applications and Manufacturing (ICIEAM) (2021), pp. 19 – 24. https://doi.org/10.1109/ICIEAM51226.2021.9446435
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Translated from Élektricheskie Stantsii, No. 2, February 2022, pp. 10 – 19. DOI: https://doi.org/10.34831/EP.2022.1087.2.003
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Danilov, M.I., Romanenko, I.G. Identification of Unauthorized Electric-Power Consumption in the Phases of Distribution Networks with Automated Metering Systems. Power Technol Eng 56, 414–422 (2022). https://doi.org/10.1007/s10749-023-01530-y
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DOI: https://doi.org/10.1007/s10749-023-01530-y