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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM62919
Volume:
10 |
5 |
May 2026
Pages:
1-6
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Department of Electrical Engineering
Wainganga College of Engineering & Management, Nagpur, India
Department of Electrical Engineering
Wainganga College of Engineering & Management, Nagpur, India
Reliable and continuous power transmission is essential for the efficient functioning of modern electrical grids. However, transmission lines are frequently subjected to faults caused by environmental conditions, insulation failure, lightning, and human interference. These faults can lead to power outages, equipment damage, and safety hazards. This project proposes an advanced Transmission Line Fault Detection System integrated with IoT technology to enhance grid reliability and monitoring efficiency. The system utilizes voltage and current sensors connected to an Arduino-based controller to continuously monitor transmission parameters. When abnormal conditions are detected, an impedance-based algorithm is used to determine the type and location of the fault accurately. The integration of an IoT module, such as ESP8266, enables real-time data transmission to cloud platforms, allowing remote monitoring through mobile or web applications. Fault alerts are instantly sent to maintenance personnel, reducing response time and minimizing downtime. Additionally, the system provides local visualization through an LCD display. The proposed system not only improves fault detection accuracy but also enhances operational efficiency, reduces maintenance costs, and supports predictive analysis through data logging, making it highly suitable for modern smart grid applications.
KEYWORDS
The proposed IoT-based Transmission Line Fault Detection System provides an efficient and reliable solution for monitoring and managing faults in power transmission networks. By integrating sensors, an Arduino controller, and an IoT module, the system enables real-time detection, classification, and location of faults. The use of an impedance-based method ensures accurate fault distance calculation, while the LCD display and buzzer provide immediate local alerts. Additionally, IoT integration allows remote monitoring through cloud platforms, reducing response time and minimizing manual intervention. The system improves grid stability, enhances operational efficiency, and reduces maintenance costs. It also supports data logging for future analysis and predictive maintenance. Overall, this system represents a cost-effective and scalable solution that aligns with modern smart grid requirements, ensuring a reliable and uninterrupted power supply.
[1] R. Kapoor and S. Biswas, “IoT-based fault detection system for transmission lines,” IEEE Transactions on Smart Grid, 2022. [2] P. Kumar and A. Singh, “Automatic fault detection and location in power transmission lines using Arduino,” International Journal of Engineering and Technology (IJET), 2021. [3] M. Sharma and V. Jain, “Impedance-based fault detection in three-phase transmission lines,” IET Power Engineering Journal, 2020. [4] S. Rao and K. Verma, “Real-time monitoring of transmission lines using IoT technology,” Energy Reports, Elsevier, 2021. [5] L. Mehta and R. Desai, “Smart grid fault detection system using microcontroller,” International Journal of Engineering and Technical Research (IJETR), 2019. [6] A. Patel and N. Sharma, “Remote fault monitoring in power transmission networks using IoT,” IEEE Access, 2020. [7] T. Gupta and R. Singh, “Analysis of three-phase faults in transmission lines,” Electric Power Systems Research, 2018. [8] K. Choudhary and P. Reddy, “IoT-based power line monitoring and alert system,” Journal of Electrical Engineering, 2021. [9] D. Verma and S. Joshi, “Arduino controlled fault detection in overhead transmission lines,” International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering (IJAREEIE), 2019. [10] R. Singh and A. Kumar, “Efficient fault detection using voltage and current monitoring,” International Journal of Recent Technology and Engineering (IJRTE), 2020.
Publication Date
5/11/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
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