An Algorithm for Locating the Coordinates of Unauthorized Consumers in the Distribution Electricity Network

Authors

  • Т.Т. Omorov Institute of Mechanical Engineering and Automation of the National Academy of Sciences of the Kyrgyz Republic, Bishkek, Kyrgyzstan
  • K.E. Zakiriaev K. Tynystanov Issyk-Kul State University, Karakol, Kyrgyzstan
  • B.K. Takyrbashev Osh State University, Osh, Kyrgyzstan
  • T.M. Zholdoshev Osh State University, Osh, Kyrgyzstan

DOI:

https://doi.org/10.25729/esr.2024.03.0008

Keywords:

Distribution network, virtual network model, unauthorized power consumption, location method

Abstract

This paper explores operational detection and control of unauthorized electricity consumption (UEC) in distribution electricity networks (DENs) with the Automated System for Commercial Metering of Electricity (ASCME) in operation. This problem pertains to the class of problems characterized by significant uncertainty about the current state of the object under study and the parameters of external disturbances, which are represented by unauthorized electricity consumers. 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 model of the DEN is introduced. This concept is intended to describe the desired state of DEN, which is characterized by the absence of unauthorized consumers in the network. A new method and an algorithm for solving the formulated problem based on the concept of a virtual model of the DEN are proposed. Conditions for identifying the current state of the DEN are obtained. Vectors of effective values of currents and voltages of the virtual network are determined. A criterion for locating the UEC is formulated and a computational algorithm for the automated control method is developed. The findings allow enhancing the DEN reliability and can be used to create special software for the subsystem for locating the UEC coordinates in the distribution network as part of the ASCME.

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Published

2024-11-25