Hardware and software complex for research and testing of new methods and technologies for automation of processes in distribution electric networks

Authors

  • T.T. Omorov Institute of Mechanical Engineering and Automation, National Academy of Sciences of the Kyrgyz Republic, Bishkek, Kyrgyzstan
  • A.T. Asiev Kyrgyz State Technical University named after I. Razzakov, Bishkek, Kyrgyzstan
  • R.Ch. Osmonova Kyrgyz State Technical University named after I. Razzakov, Bishkek, Kyrgyzstan
  • B.K. Takyrbashev Institute of Mechanical Engineering and Automation, National Academy of Sciences of the Kyrgyz Republic, Bishkek, Kyrgyzstan
  • Z.S. Imanakunova Kyrgyz State Technical University named after I. Razzakov, Bishkek, Kyrgyzstan

DOI:

https://doi.org/10.25729/esr.2025.01.0001

Keywords:

Distribution electric network, control and monitoring of electric power losses, automated experimental complex, functional structure

Abstract

Currently, in order to automate and digitalize processes in electrical distribution networks (DEN), ASCME software and hardware systems are widely used, which are mainly designed to solve problems of commercial electricity metering. At the same time, these automated systems do not solve such urgent problems as optimizing the operating modes of distribution networks, operational monitoring of technical and commercial losses of electricity, as well as diagnosing network conditions, including localizing the coordinates of unauthorized withdrawals of electricity (UWE). To date, the National Academy of Sciences of the Kyrgyz Republic and a number of foreign scientific centers have developed the scientific foundations and technologies for solving the above problems in real time. In order to test and study the effectiveness of these new results, it is advisable to create an automated experimental complex (AEC), which is essentially a physical model of ASCME. This is due to the fact that the use of automated information systems currently used in distribution networks for this purpose is practically impossible. This article discusses the general structure, functional tasks and main directions of research using AEC. The complex includes a physical model of the distribution network and the main functional elements of modern automated control and accounting systems for electricity (ASCAE), such as a data concentrator, a computer server, single-phase and three-phase electricity meters and a telecommunications module for transmitting and receiving data. The basis of the special software of the experimental complex is made up of new methods and technologies for solving the above functional problems, which are not included in modern AMR systems. The AEC is planned to be used not only for conducting scientific research and experiments, but also for the educational process in technical universities that have training programs in electric power engineering.

References

http://www.sigmatelas.lt/. Accessed on Oct. 21, 2024.

https://mir-omsk.ru/products/generation/ Accessed on Oct. 21, 2024. (In Russian)

http://www.energomera.ru/ Accessed on Oct. 21, 2024. (In Russian)

M. E. El-Hawary, “The Smart Grid—State-of-the-art and Future Trends,” Electr. Power Compon. Syst., vol. 42, pp. 239–250, 2014.

S. A. Kazmi, M. K. Shahzad, A. Z. Khan, D. R. Shin, “Smart Distribution Networks: A Review of Modern Distribution Concepts from a Planning Perspective,” Energies, vol. 10, no. 4, p. 501, 2017. DOI: 10.3390/en10040501.

M.G. Kiselev and M.G. Lepanov, “Symmetrization of currents in power supply networks by a reactive power controller,” Elektrotekhnika, no. 11, pp. 63–70, 2018. (In Russian)

T.T. Omorov, B.K. Takyrbashev, and T.Dzh. Koibagarov, “Management of electricity losses in distribution networks as part of automated systems for monitoring and control of electricity,” Mechatronics, Automation, Control, vol. 22, no. 4, pp. 192–199, 2021. (In Russian)

I. V. Naumov, D. A. Ivanov, S. V. Podyachikh, D. Gantulga, “Symmetrizing device for three-phase networks with a neutral wire,” RU Patent 2490768, Aug. 20, 2013. (In Russian)

V. V. Samokish, “Method for symmetrizing phase currents in a three-phase four-wire line and a device for its implementation,” RU Patent 2548656, Dec. 27, 2013. (In Russian)

T. T. Omorov, B. K. Takyrbashev, “On the issue of optimizing asymmetric operating modes of distribution networks,” Instruments and Systems: Monitoring, Control, and Diagnostics, no. 6, pp. 11–15, 2016. (In Russian)

M. A. Averbukh, E. V. Zhilin, “On energy losses in power supply systems for individual housing construction,” Energetik, no. 6, pp. 54–56, 2016. (In Russian)

A. V. Ded, S. V. Biryukov, A. V. Parshukova, “Evaluation of additional power losses in 0.38 kV electrical networks based on experimental data,” Advances in Modern Natural Science, no. 11, pp. 64–67, 2014. (In Russian)

T. T. Omorov, R. Ch. Osmonova, T. Zh. Koibagarov, A. Sh. Eraliyeva, “On the issue of identifying technical and commercial electricity losses as part of AIIS KUE,” Electric Power. Transmission and Distribution, no. 5(50), pp. 56–60, 2018. (In Russian)

V. A. Stennikov, I. I. Golub, E. V. Boloev, “The use of measurements from smart meters to establish those responsible for unauthorized electricity consumption,” Energetik, no. 4, p. 3. (In Russian)

T. T. Omorov, B. K. Takyrbashev, R. Ch. Osmonova, T. Zh. Koibagarov, “Identification of the location of unauthorized electricity consumption in distribution networks as part of the AMR system,” Control. Diagnostics, no. 1, pp. 50–55, 2019. (In Russian)

T. Kirankumar, G. N. Sri Madhu, “Power theft detection using probabilistic neural network classifier,” International Research Journal of Engineering and Technology, vol. 5, no. 8, pp. 834–838, 2018.

J. Jeyaranjani, D. Devaraj, “Machine learning algorithm for efficient power theft detection using smart meter data,” International Journal of Engineering & Technology, vol. 7, no. 3, pp. 900–904, 2018.

T. T. Omorov, R. Ch. Osmonova, et al., “Methodology for identifying parameters of the main line of a distribution network based on AMR data,” Bulletin of Kazan State Energy University, vol. 13, no. 3(51), pp. 168–177, 2021. (In Russian)

T. Omorov, K. Zakiriaev, B. Takyrbashev, Zh. Imanakunova, “Automated control of unauthorized power take-offs in a distributed electrical network,” Mechatronics, Automation, Control, vol. 24, no. 1, pp. 24–32, 2023.

T. Omorov, B. Takyrbashev, K. Zakiriaev, T. Koibagarov, “Digital control of electric power flows in unbalanced distribution networks as part of the automated metering and control system,” Energy Systems Research, vol. 4, no. 1(13), pp. 38–46, 2021.

K. A. Pupkov, N. D. Egupov, Methods of Classical and Modern Automatic Control Theory: in 5 Volumes, Moscow, Russia: Bauman Moscow State Technical University, 2004. (In Russian)

T. T. Omorov, B. O. Dzholdoshov, “A brief review of methods for analysis and synthesis of nonlinear control systems,” Izvestiya of the Kyrgyz State Technical University, no. 26, pp. 28–36, 2012. (In Russian)

T. T. Omorov, G. A. Kozhekova, “Synthesis of control laws for interconnected electric drives,” Instruments and Systems: Monitoring, Control, and Diagnostics, no. 10, pp. 10–13, 2009. (In Russian)

Published

2025-04-28