Remote Monitoring of Low Voltage Opl With Power Theft and Fault Detection Using Wsn

This research focuses on the development of a comprehensive system for the remote monitoring of low voltage overhead power lines (OPL), incorporating both power theft and fault detection mechanisms through Wireless Sensor Networks (WSN). The primary objective is to enhance the efficiency and reliability of power distribution networks by implementing a robust monitoring solution. The methodology involves deploying a network of wireless sensors strategically along the power lines to continuously collect data on voltage, current, and other relevant parameters. Advanced algorithms are employed to analyze the data, enabling the identification of power theft incidents and the prompt detection of faults. The system leverages WSN technology to facilitate real-time communication between the sensors and a central monitoring station, enabling remote surveillance and control. The results highlight a significant improvement in the overall integrity of the power distribution system, with a notable reduction in power theft instances and a quicker response to faults.

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Publication Details

Published
2024-11-13
DOI
https://doi.org/10.1109/ictacs62700.2024.10840884
Citations
1
Primary Topic
Electrical Fault Detection and Protection
Type
article
Field-Weighted Citation Impact
0.21
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article

Remote Monitoring of Low Voltage Opl With Power Theft and Fault Detection Using Wsn

Alisher Fayzulla ugli Khayrullaev
1 citations
Electrical Fault Detection and Protection
0.21
article

Remote Monitoring of Low Voltage Opl With Power Theft and Fault Detection Using Wsn

Alisher Fayzulla ugli Khayrullaev
article en
1 citations

Abstract

This research focuses on the development of a comprehensive system for the remote monitoring of low voltage overhead power lines (OPL), incorporating both power theft and fault detection mechanisms through Wireless Sensor Networks (WSN). The primary objective is to enhance the efficiency and reliability of power distribution networks by implementing a robust monitoring solution. The methodology involves deploying a network of wireless sensors strategically along the power lines to continuously collect data on voltage, current, and other relevant parameters. Advanced algorithms are employed to analyze the data, enabling the identification of power theft incidents and the prompt detection of faults. The system leverages WSN technology to facilitate real-time communication between the sensors and a central monitoring station, enabling remote surveillance and control. The results highlight a significant improvement in the overall integrity of the power distribution system, with a notable reduction in power theft instances and a quicker response to faults.

Tashkent University of Information Technology (UZ)
Peace, Justice and strong institutions
Openalex Percentile: Top 44%
Electrical Fault Detection and Protection
0.21
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