Fault Detection in Transmission Line

Abstract: This project focuses on the design and implementation of an advanced fault detection system for overhead transmission lines, utilizing key components such as the ESP 8266 microcontroller, current sensors, a GPS module, and IoT integration. The system is capable of detecting and classifying four major fault types: single line to ground (L-G), line to line (LL), double line to ground (L-L-G), and three-phase faults (L-L-LG). By placing current sensors at the transmission line's sending end, the system identifies faults and accurately determines their location through GPS coordinates. Simulations using protect us software were conducted to verify the system’s performance prior to building a hardware prototype. Upon fault detection, the system provides alerts via an LCD display and a buzzer, while real-time fault data is transmitted to an Android app and web server through the arduino IoT cloud. Testing confirmed the system’s precision in fault identification and location tracking, ensuring timely notifications for control room and remote device operators. This successful implementation highlights the system's potential for improving safety and efficiency in power transmission networks. the project lays the groundwork for further exploration into advanced fault detection and real-time monitoring solutions in electrical engineering.

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Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-04-16
DOI
https://doi.org/10.22214/ijraset.2025.68822
Primary Topic
Power Systems Fault Detection
Type
article
Field-Weighted Citation Impact
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article

Fault Detection in Transmission Line

Sonali Bansode, Swati Jadhav, Chanchal Thore, Prof. Pallavi Gajaphode et al.
International Journal for Research in Applied Science and Engineering Technology
Power Systems Fault Detection
article

Fault Detection in Transmission Line

Sonali Bansode, Swati Jadhav, Chanchal Thore, Prof. Pallavi Gajaphode, Prof. Dr. B. E. Shinde
article en

Abstract

Abstract: This project focuses on the design and implementation of an advanced fault detection system for overhead transmission lines, utilizing key components such as the ESP 8266 microcontroller, current sensors, a GPS module, and IoT integration. The system is capable of detecting and classifying four major fault types: single line to ground (L-G), line to line (LL), double line to ground (L-L-G), and three-phase faults (L-L-LG). By placing current sensors at the transmission line's sending end, the system identifies faults and accurately determines their location through GPS coordinates. Simulations using protect us software were conducted to verify the system’s performance prior to building a hardware prototype. Upon fault detection, the system provides alerts via an LCD display and a buzzer, while real-time fault data is transmitted to an Android app and web server through the arduino IoT cloud. Testing confirmed the system’s precision in fault identification and location tracking, ensuring timely notifications for control room and remote device operators. This successful implementation highlights the system's potential for improving safety and efficiency in power transmission networks. the project lays the groundwork for further exploration into advanced fault detection and real-time monitoring solutions in electrical engineering.

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(4)
Institution of Electronics and Telecommunication Engineers (IN)
Openalex Percentile: Top 92%
Power Systems Fault Detection
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Fault Detection in Transmission Line — Sonali Bansode, Swati Jadhav, et al. · International Journal for Research in Applied Science and Engineering Technology (2025) | TGRS Research Map | TGRS