Divya K Pai,
- Assistant Professor, Department of Electrical and Electronics St. Joseph Engineering CollegeEngineering, Mangalore, India
Abstract
Power transmission lines are vulnerable to faults caused by environmental factors, aging infrastructure, and external disturbances such as falling trees or animal contact. Prompt and accurate detection and location of these faults are essential to ensure uninterrupted power delivery, reduce equipment damage, and minimize downtime. This project presents an automatic fault detection and location system using GPS technology integrated with a microcontroller-based sensing module. The proposed system continuously monitors voltage and current levels in transmission lines. Any abnormal deviation in these parameters, such as during a short circuit or line-to-ground fault, is immediately detected by the microcontroller. Simultaneously, a GPS module captures the exact geographic location where the fault has occurred. This data is then transmitted in real-time to the control center via GSM or IoT-based communication networks.By providing precise, location-specific information, the system significantly reduces the time required for maintenance personnel to identify and address the fault. The implementation of this system is especially advantageous in remote or difficult-to-access areas where manual fault detection is time-consuming and often impractical. This real-time monitoring approach not only modernizes fault management in power transmission systems but also ensures quicker restoration of service, contributing to a more resilient and efficient power grid. The integration of GPS and wireless communication technologies into traditional fault detection infrastructure represents a cost-effective and scalable solution for improving the reliability and automation of electrical power systems.
Keywords: Power Transmission Lines, Fault Detection, GPS Technology, Fault Location, Microcontroller, Real-time Monitoring, GSM, Smart Grid, Power System Protection, Remote Monitoring. Introduction
[This article belongs to Journal of Power Electronics and Power Systems ]
Divya K Pai. AUTOMATED FAULT IDENTIFICATION AND TRACKING IN POWER TRANSMISSION NETWORKS USING GPS. Journal of Power Electronics and Power Systems. 2025; 15(03):37-43.
Divya K Pai. AUTOMATED FAULT IDENTIFICATION AND TRACKING IN POWER TRANSMISSION NETWORKS USING GPS. Journal of Power Electronics and Power Systems. 2025; 15(03):37-43. Available from: https://journals.stmjournals.com/jopeps/article=2025/view=216377
References
- Senger EC, Manassero G, Goldemberg C, Pellini EL. Automated fault location system for primary distribution networks. IEEE Trans Power Deliv. 2005;20(2):1332–40.
- Patel R, Mehta R. Microcontroller-based fault detection and alert system in power transmission lines. Int J Adv Res Electr Electron Instrum Eng. 2016;5(7):6208–13.
- Sharma A, Singh S. Real-time fault monitoring and location detection using GSM and GPS module. Int J Eng Res Technol (IJERT). 2018;7(4):1–4.
- Jadhav S, Bansode S, Thore C, Makwana M. Fault detection in transmission line. Int J Res Appl Sci Eng Technol. 2024. doi:10.22214/ijraset.2024.64500.
- Jadhav SR. Overhead power transmission line fault detection & analysis system using microcontroller. Int Res J Mod Eng Technol Sci (IRJMETS). 2023.
- Parihar VR, Jijankar S, Dhore A, Sanganwar A, Chalkhure K. Automatic fault detection in transmission lines using GSM technology. Int Res J Eng Technol (IRJET). [Date unknown].
- Radhakrishnan P, Priya M, Reshmeetha K, Rojaharshini MS. Detection of multiple fault in transmission line using IoT. Int J Eng Res Technol (IJERT). 2022.
- Wang G, Zhuang C, Deng J. A fault location method based on electromagnetic transient convolution considering frequency dependent parameters and lossy ground. arXiv preprint. 2022. arXiv:2212.14354.
- Mitra B, Debanth S, Chowdhury B. Fault location using the natural frequency of oscillation of current discharge in MTdc networks. arXiv preprint. 2020. arXiv:2004.06194.
- Nie Y, Liu Y, Lu D, Wang B. An improved natural frequency based transmission line fault location method with full utilization of frequency spectrum information. IET Generation, Transmission & Distribution. 2021 Oct;15(19):2787-803.

Journal of Power Electronics and Power Systems
| Volume | 15 |
| Issue | 03 |
| Received | 23/06/2025 |
| Accepted | 03/06/2025 |
| Published | 08/07/2025 |
| Publication Time | 15 Days |
Login
PlumX Metrics