Volume : 12, Issue : 4, APR 2026
IOT-ENABLED FAULT DETECTION AND MONITORING SYSTEM FOR POWER TRANSMISSION LINES
K.BHARATHI*, N. ESWAR, A.KUSHMITHA, L.SWETHA, V.PRADEEP
Abstract
Power transmission systems are highly vulnerable to faults such as line-to-ground, line-to-line, overvoltage, and over current conditions, which can severely affect system reliability and safety. This paper presents an IoT-enabled fault detection and monitoring system designed for real-time supervision of three-phase transmission lines. The proposed system integrates voltage sensing units, an embedded controller, and wireless communication modules to continuously monitor electrical parameters. An ESP32-based communication module is employed to transmit real-time data to a cloud platform for remote monitoring and analysis. The system detects fault conditions by comparing measured electrical parameters against predefined threshold limits. Upon detection of abnormalities, the system generates local alerts via an LCD display and buzzer while simultaneously sending notifications through GSM communication. The acquired data is stored in the cloud for visualization and predictive analysis. Experimental validation demonstrates that the system effectively identifies faults and provides real-time monitoring, thereby enhancing system reliability and reducing downtime.
Keywords
IOT, FAULT DETECTION, ESP32, TRANSMISSION LINE MONITORING, SMART GRID, THINGSPEAK, GSM ALERTS, POWER SYSTEM PROTECTION.
Article : Download PDF
Cite This Article
IESRJ
International Educational Scientific Research Journal
E-ISSN: 2455-295X
International Indexed Journal | Multi-Disciplinary Refereed Research Journal
ISSN: 2455-295X
Peer-Reviewed Journal - Equivalent to UGC Approved Journal
Peer-Reviewed Journal
Article No : 10
Number of Downloads : 45
References
1. Singh, R., Kumar, A., and Patel, S., “Comparative Analysis of Overhead and Underground Transmission Systems for Power Delivery,” International Journal of Electrical Power & Energy Systems, vol. 134, pp. 107-118, 2022.
2. Zhang, Y., Liu, H., and Chen, X., “Smart Grid Technologies for Real-Time Monitoring and Control of Power Systems,” IEEE Transactions on Smart Grid, vol. 13, no. 2, pp. 1450–1462, 2022.
3. Mehta, V. K., and Mehta, R., “Analysis of Transmission Line Faults and Their Impact on Power System Stability,” Electric Power Systems Research, vol. 201, pp. 107-115, 2021.
4. Kumar, P., Singh, B., and Sharma, D., “Microcontroller-Based Fault Detection Techniques in Electrical Distribution Systems,” IEEE Access, vol. 10, pp. 45832–45845, 2022.
5. Brown, M., Wilson, J., and Taylor, R., “Modern Protection Strategies for Transmission Networks Using Digital Relays,” IEEE Transactions on Power Delivery, vol. 36, no. 4, pp. 2150–2159, 2021.
6. Zhao, L., Wang, Q., and Sun, Y., “Adaptive Relay Coordination for Improved Fault Detection in Smart Grids,” IET Generation, Transmission & Distribution, vol. 16, no. 5, pp. 789–799, 2022.
7. Fernandes, D., Costa, P., and Rodrigues, L., “Distributed Sensor-Based Real-Time Monitoring of Transmission Lines,” Sensors, vol. 22, no. 9, pp. 3356–3368, 2022.
8. Wang, X., Li, Z., and Huang, J., “ESP32-Based Embedded System for Real-Time Electrical Parameter Monitoring,” IEEE Internet of Things Journal, vol. 9, no. 18, pp. 16845–16856, 2022.
9. Park, S., Kim, H., and Lee, J., “IoT-Based Fault Detection System for Smart Power Grids Using Cloud Platforms,” IEEE Access, vol. 11, pp. 22345–22358, 2023.
10. Roy, S., Das, A., and Mukherjee, P., “Wireless Fault Detection and Alert System Using ESP32 and IoT Platforms,” International Journal of Electrical and Computer Engineering, vol. 13, no. 1, pp. 120–130, 2023.
