IoT-Based Real-Time Monitoring of Transmission Line Critical Parameters During Fault

This paper presents the design and implementation of an IoT-based system for real-time monitoring and fault detection in electrical transmission lines. The proposed solution integrates current transformers (CT), potential transformers (PT), temperature and oil-level sensors with an ATmega328P microcontroller and ESP8266 (NodeMCU) Wi-Fi module. Measured parameters—voltage, current, temperature, and earth leakage—are sampled via the microcontroller’s ADC and multiplexed, then transmitted over TCP/IP to the ThingSpeak cloud platform for dashboard visualization. The system automatically detects over-voltage, under-voltage, short-circuit, open-circuit, and earth-fault conditions, triggering a relay cutoff, LCD display update, and buzzer alert. Laboratory tests confirm accurate fault identification and sub-second response times, demonstrating a low-cost, scalable solution for enhancing grid reliability and reducing maintenance overhead

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Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-06-29
DOI
https://doi.org/10.22214/ijraset.2025.72842
Primary Topic
Power Systems Fault Detection
Type
article
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article

IoT-Based Real-Time Monitoring of Transmission Line Critical Parameters During Fault

Vidya Sanjaykumar Bandgar
International Journal for Research in Applied Science and Engineering Technology
Power Systems Fault Detection
article

IoT-Based Real-Time Monitoring of Transmission Line Critical Parameters During Fault

Vidya Sanjaykumar Bandgar
article en

Abstract

This paper presents the design and implementation of an IoT-based system for real-time monitoring and fault detection in electrical transmission lines. The proposed solution integrates current transformers (CT), potential transformers (PT), temperature and oil-level sensors with an ATmega328P microcontroller and ESP8266 (NodeMCU) Wi-Fi module. Measured parameters—voltage, current, temperature, and earth leakage—are sampled via the microcontroller’s ADC and multiplexed, then transmitted over TCP/IP to the ThingSpeak cloud platform for dashboard visualization. The system automatically detects over-voltage, under-voltage, short-circuit, open-circuit, and earth-fault conditions, triggering a relay cutoff, LCD display update, and buzzer alert. Laboratory tests confirm accurate fault identification and sub-second response times, demonstrating a low-cost, scalable solution for enhancing grid reliability and reducing maintenance overhead

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(6)
Government Medical College (IN)
Openalex Percentile: Top 83%
Power Systems Fault Detection
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IoT-Based Real-Time Monitoring of Transmission Line Critical Parameters During Fault — Vidya Sanjaykumar Bandgar · International Journal for Research in Applied Science and Engineering Technology (2025) | TGRS Research Map | TGRS