Arduino based Transmission Line Fault Detection System

Abstract

Transmission line fault detection is a critical aspect of modern power systems to ensure reliability, safety, and uninterrupted power supply. Transmission lines are a critical, yet highly exposed and vulnerable, component of the power system. The reliability of power delivery largely depends on their fault-free operation. Hence, it is essential to develop a reliable fault detection and classification approach using digital relaying systems to accurately differentiate between healthy and faulty phases, isolate affected sections from the grid, and enable rapid restoration. This review presents a comprehensive analysis of various signal processing techniques used for extracting features from fault signals in transmission lines integrated with FACTS devices, including scenarios involving cross-country and evolving faults. It also examines different fault classification methods in terms of their accuracy, memory requirements, computational efficiency, ability to capture long-term dependencies, susceptibility to vanishing gradient issues, and effectiveness of their receptive fields. This paper presents a Transmission Line Fault Detection System based on real-time monitoring of voltage and current parameters using sensors, microcontroller-based logic, protective relays, and communication modules. The proposed system detects, classifies, and isolates faults such as single line-to-ground, line-to-line, double line-to-ground and three-phase faults.

Introduction

The paper presents an Arduino-based Electrical Fault Detection System for Transmission Lines designed to improve the reliability, safety, and efficiency of power transmission networks. As modern power systems expand and integrate renewable energy sources, transmission line faults such as Line-to-Ground (LG), Line-to-Line (LL), and Double Line-to-Ground (LLG) become increasingly common, causing power interruptions, equipment damage, and economic losses. The proposed system enables rapid fault detection and isolation, minimizing damage and restoring power more quickly. It highlights that LG faults account for nearly 65–70% of transmission line faults, while modern digital protection systems provide faster and more accurate fault detection than conventional relay-based methods.

The proposed system employs current, voltage, and fire sensors connected to an Arduino UNO microcontroller to continuously monitor transmission line conditions. Sensor data is analyzed to identify abnormal conditions such as short circuits, overheating, line breaks, or fire. Upon detecting a fault, the Arduino activates a protective relay to isolate the faulty section, triggers a buzzer for an audible warning, displays fault information on a 16×2 LCD, and can transmit real-time alerts through a GSM/IoT module. The system operates using a regulated DC power supply and can be enhanced with machine learning techniques to improve fault classification accuracy.

Experimental results demonstrate that under normal conditions the system maintains uninterrupted power delivery and displays a "System Normal" status. When a fault such as fire or overheating occurs, the sensors immediately detect the abnormality, prompting the Arduino to disconnect the affected line, activate alarms, and display the fault message. The proposed solution provides a low-cost, reliable, and customizable approach for real-time transmission line fault detection, reducing equipment damage, improving power quality, and enhancing the overall safety and reliability of electrical power systems.

Conclusion

In conclusion, locating a short circuit fault at a specific distance along the transmission line is essential for addressing the problem quickly and effectively. Accurate identification of the fault location helps maintenance teams focus directly on the affected section, reducing unnecessary inspection along the entire line. With the assistance of the Arduino-based system, the project is capable of automatically indicating the phase involved, estimating the distance to the fault, and identifying the type or cause of the fault event. This automated monitoring and reporting significantly improves the reliability and efficiency of the power system. Precise fault location leads to faster restoration of power supply, enhanced overall system performance, reduced operational and maintenance costs, and minimized downtime in the field. By integrating sensing, processing, and alert mechanisms, the system provides a practical and cost-effective solution for modern transmission line protection and monitoring.

References

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Copyright

Copyright © 2026 Prashant Nayak, Kaushal Rajak, Shubham Vishwakarma, Manish Singh Rathour, Mandan Mohan Wankhede. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.