| Issue |
E3S Web Conf.
Volume 584, 2024
Rudenko International Conference “Methodological Problems in Reliability Study of Large Energy Systems” (RSES 2024)
|
|
|---|---|---|
| Article Number | 01046 | |
| Number of page(s) | 6 | |
| DOI | https://doi.org/10.1051/e3sconf/202458401046 | |
| Published online | 06 November 2024 | |
Method of identification and operational control of unauthorized electricity withdrawal in distribution networks
1 National Academy of Sciences, Institute of Mechanical Engineering and Automation, 265a Chuy, Bishkek, Kyrgyz Republic
2 Issyk-Kul State University named after K. Tynystanov, Department of Information Systems and Technologies, 103 Abdrakhmanov, Karakol, Kyrgyz Republic
3 Osh State University, Department of Applied Mathematics, 331 Lenin, Osh, Kyrgyz Republic
* Corresponding author: omorovtt@mail.ru
This article addresses the problem of operational identification and control of unauthorized electricity withdrawals (UEW) in distribution electric networks (DEN) under the operation of the Automated System for Commercial Metering of Electricity (ASCME). The issue involves significant uncertainty regarding the current state of the network and external disturbances, represented by unauthorized electricity consumers. To reduce uncertainty and obtain necessary information, the concept of a virtual DEN model is introduced, representing the ideal state of the network without unauthorized consumers. A new method based on this virtual model is proposed for solving the problem. Conditions for identifying the current state of the DEN are established. Vectors of actual current and voltage values in the virtual network are identified. Additionally, a criterion for localizing UEW and a computational algorithm for automated control are formulated. The results improve the reliability of DEN operations and can be used to develop specialized software for the UEW localization subsystem within the ASCME framework.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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