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Erirms Evaluation of the Reliability of Iot-Aided Remote Monitoring Systems of Low-Voltage Overhead Transmission Lines

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2024

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Mdpi

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Department of Data Communication Networks and Systems
The department is engaged in activities such as providing students and masters with the necessary knowledge in the relevant disciplines of data transmission networks, preparing them as qualified specialists in their field, as well as providing in-depth knowledge for researchers.

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Abstract

Researchers have studied instances of power line technical failures, the significant rise in the energy loss index in the line connecting the distribution transformer and consumer meters, and the inability to control unauthorized line connections. New, innovative, and scientific approaches are required to address these issues while enhancing the reliability and efficiency of electricity supply. This study evaluates the reliability of Internet of Things (IoT)-aided remote monitoring systems specifically designed for a low-voltage overhead transmission line. Many methods of analysis and comparison have been employed to examine the reliability of wireless sensor devices used in real-time remote monitoring. A reliability model was developed to evaluate the reliability of the monitoring system in various situations. Based on the developed models, it was found that the reliability indicators of the proposed monitoring system were 98% in 1 month. In addition, it has been proven that the reliability of the system remains high even when an optional sensor in the network fails. This study investigates various IoT technologies, their integration into monitoring systems, and their effectiveness in enhancing the reliability and efficiency of electrical transmission infrastructure. The analysis includes data from field deployments, case studies, and simulations to assess performance metrics, such as accuracy, latency, and fault detection capabilities.

Description

Khujamatov, Halimjon/0000-0001-5206-635X; Khayrullaev, Alisher/0009-0005-5060-1079; Mukhiddinov, Mukhriddin/0000-0002-1424-0799; Davronbekov, Dilmurod/0000-0003-1193-7918; Mirjamol, Abdullayev/0000-0003-1664-7274

Keywords

IoT, remote monitoring, low-voltage transmission lines, reliability, fault detection, overhead transmission

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0

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Q2

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Q2

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Volume

24

Issue

18

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