Preview

Mekhatronika, Avtomatizatsiya, Upravlenie

Advanced search
Open Access Open Access  Restricted Access Subscription or Fee Access

Automated Control of Unauthorized Power Take-Offs in a Distributed Electrical Network

https://doi.org/10.17587/mau.24.24-32

Abstract

A distributed electrical network (DEN) with a voltage of 0.4 kV operating in an unsymmetric mode is considered as an object of automated control. The problem of identification of places and control of unauthorized power take-offs (UPTO) in the DEN in the conditions of functioning of the automated system of control and accounting of electricity (ACMSE) is formulated. The primary source information for its solution is the data obtained from the head and subscriber electricity meters by synchronized remote measurements at discrete points in time. This problem belongs to the class of problems in which there is significant uncertainty about the current state of the object under study and the parameters of external disturbing influences, which are unauthorized consumers of electricity. Under these conditions, the primary measurement data on the characteristics of the network subscribers’ loads received from the counters of the automated system and recorded in its database are insufficient to solve the problem under consideration. In this regard, in order to reduce the level of uncertainty and obtain additional necessary information about the state of the object, the concept of a virtual DEN model is introduced into consideration, designed to describe its desired state, which is determined by the absence of these external random disturbances in the network. A new method for solving the formulated problem is proposed, based on the concept of a virtual DEN model. The conditions for identifying the current state of the DEN have been obtained. For this purpose, the desired input phase currents of the virtual network are determined by introducing equivalent complex resistances of certain parts of the three-phase network. The vectors of the effective values of currents and voltages on the loads of subscribers and inter-subscriber sections of the virtual network are identified. Criterion functions are introduced that determine the deviations of the corresponding components of the stress vectors on the loads of subscribers of the real DEN and its virtual model. Based on these functions, an identification criterion and an algorithm for monitoring unauthorized power take-offs in a three-phase distributed network are formulated. The obtained results are oriented for the creation of algorithmic and special software for the subsystem of automated control of UPTO as part of the ACMSE.

About the Authors

T. T. Omorov
Institute of Mechanical Engineering and Automation, National Academy of Science of Kyrgyz Republic (NAS KR)
Kyrgyzstan

Corresponding-Member of the NAS KR, Dr. Tech. Sc., Head of the Laboratory

Bishkek



K. E. Zakiriaev
IssyKul State University
Kyrgyzstan

Senior Teacher

Karakol



B. K. Takyrbashev
Institute of Mechanical Engineering and Automation, National Academy of Science of Kyrgyz Republic (NAS KR)
Kyrgyzstan

Cand. Sc., Senior Researcher

Bishkek



Zh. S. Imanakunova
Kyrgyz State Technical University
Kyrgyzstan

Cand. Sc., Associate Professor

Bishkek



References

1. Kosoukhob F. D., Vasilev N. V., Filipov А. О. Reducing loses from current unbalance and improving electric-energy quality in 0.38-Kv networks with municipal loads, Russian electrical engineering, Allerton Press, Inc. (New York), 2014, vol. 85, no. 6, pp. 350—353.

2. Czarnecki L. S., Bhattarai P. D. Currents’ physical components (CPC) in three-phase systems with asymmetrical voltage, Przegld Elektrotechniczny, 2015, no.6, pp. 40—47, doi: 10.15199/48.2015.06.06.

3. Averbuh M. A., Zhilin Е. В. About electric power losses in systems of electrosupply of individual housing construction, Energetic, 2016, no.6. pp. 54-56 (in Russian).

4. Harutyunyan A. G. On the calculation of additional power losses in three-phase four-wire networks, Electricity, 2015, no. 10, pp. 55—58 (in Russian).

5. Zhelezko Y. S. Electricity losses. Reactive power. Power quality, M., ENAS, 2009, 456 p. (in Russian).

6. Sapronov A. A., Kuzhekov S. L., Tynyansky V. G. Emergency reveal of unmonitored power consumption in up to 1 kv electrical networks, Russian Electromechanics, 2004, no. 1, pp. 55—58 (in Russian).

7. Danilov M. I., Romanenko I. G. Identification of unauthorized electricity consumption in the phases of distribution networks with automated metering systems, Elektricheskie Stancii, 2022, no. 2 (1087), pp. 10—19 (in Russian).

8. Omorov T. T. To the problem of localization of unauthorized selection of the electric power in distributive networks as a part of ASCAE, Instruments and Systems: Monitoring, Control, and Diagnostics, 2017, no. 7, pp. 27—32 (in Russian).

9. Yakushev K. V. Automat system of the commercial account of the electric power for the retail market Information and control systems in the industry, The Young scientis, 2009, no. 3 (23), pp. 9—13 (in Russian).

10. Eremina M. A. Development of automatic systems of the c ommercial account of power resources, The Young scientist, 2015, no. 3, pp. 135—138 (in Russian).

11. Buchholz B. M., Stychinski Z. A. Smart Grids — fundamentals and technologies in electricity networks, Moscow, MEI, 2017, 461 p. (in Russian).

12. Stephen Bush F. Smart Grid: Communication-Enabled Intelligence for the Electric Power Grid, John Wiley & Sons Limited, 2018, 572 p.

13. Kiselyov M. G., Lepanov M. G. Simmetrirovanie of currents in electrosupply networks a power electric regulator of inactive capacity, The Electrical engineer, 2018, no. 11, pp. 63—70 (in Russian).

14. Omorov T. T., Takyrbashev B. K., Koibagrov T. D. Electricy Losses Management in Distribution Network as a Composition of Automated Meter Reading and Control System (AMRCS), Mekhatronika, Avtomatizatsiya, Upravlenie, 2021, vol. 22, no. 4, pp. 191—199 (in Russian).

15. Omorov T. T., Takyrbashev K., Zakiriaev K. E., Koibagarov T. Zh. Digital control of electric power flows in non-symmeter distribution networks as a composition of AM-RCS, Energy Systems Research, 2021, no. 1, pр. 38—46.

16. Samokish V. V. The patent № 2548656 (Russian Federations). Sposob of balancing of phase currents of a three-phase four-wire line and the device for its realization, Biull, no. 11. 27.12.2013 (in Russian).

17. Naumov I. V., Ivanov D. A., Podjachih S. V. The patent № 2490768 (Russian Federations). The symmetrizing device for three-phase networks with a zero wire, Biull, no. 23. 20.08.2013 (in Russian).

18. Tariq M., Poor H. V. Electricity Theft Detection and Localization in Grid-Tied Microgrids, IEEE Transactions on Smart Grid, 2018, vol. 9, no. 3, pp. 1920—1929, doi: 10.1109/ TSG.2016.2602660

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

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

21. Messinis G. M., Rigas A. E., Hatziargyriou N. D. A Hybrid Method for Non-Technical Loss Detection in Smart Distribution Grids, IEEE Transactions on Smart Grid, 2019, vol. 10, no. 6, pp. 6080—6091, doi: 10.1109/TSG.2019.2896381

22. Omorov T. T., Takyrbashev B. K. Identification of the State of the Distributive Electrical Network in the Automated Systems of Accounting and Management of the Power Consumption, Mekhatronika, Avtomatizatsiya, Upravlenie, 2016, vol. 17, no. 10, pp. 651—656 (in Russian).

23. Demirchjan K. S., Nejman L. R., Korovkin A. V. Theoretical of a basis electrical engineers. Vol.1, SPb., Peter, 2009, 512 p. (in Russian).

24. Kononov Y. Refinement of the parameters of sections of lines of the medium voltage network according to the data of synchronous measurements, Russian Electromechanics, 2018, vol. 61, no. 1, pp. 77—84 (in Russian).

25. Omorov T. T., Osmonova R. Ch., Takyrbashev B. K., Imanakunova Zh. S. Methodology for identification of the parameters of the trunk line of the distribution network according to ASKUE data, Kazan state power engineering university bulletin, 2021, no. 3(51), pp. 168—177 84 (in Russian).


Review

For citations:


Omorov T.T., Zakiriaev K.E., Takyrbashev B.K., Imanakunova Zh.S. Automated Control of Unauthorized Power Take-Offs in a Distributed Electrical Network. Mekhatronika, Avtomatizatsiya, Upravlenie. 2023;24(1):24-32. https://doi.org/10.17587/mau.24.24-32

Views: 360


ISSN 1684-6427 (Print)
ISSN 2619-1253 (Online)