• kandula abhinav
• eslavath pavan
• thodeti gowtham
• k.ashok kumar
• A.rajitha

The prototype aims to address the critical issue of frequent faults in local transmission lines, emphasizing the greater risk to the community compared to larger high voltage (HV) and extra high voltage (EHV) lines. The core of our solution lies in a meticulously designed model that detects faults by comparing voltage signals derived from the transmission line with a predetermined reference value. The versatility of this model allows it to promptly identify deviations in voltage, signalling a fault condition that is both displayed locally and transmitted to a designated web page through an ESP8266 IoT device. In the heart of our fault detection mechanism is an optocoupler, strategically employed to sense voltage variations and relay this information to the ATmega16 microcontroller IC. The ATmega16, armed with programmed comparisons, scrutinizes the voltage signals and orchestrates outputs to both the IoT module and a local display, providing real-time insights into fault occurrences. For robust and reliable operation, a separate 5-volt DC power supply is dedicated to all components, ensuring their stability independent of the power source used for monitoring fault incidents. This comprehensive design not only fortifies local safety by promptly detecting faults but also establishes a seamless communication channel through IoT, enabling timely response measures and contributing to the overall resilience of the transmission line network.

EHV Transmission lines, Faults, IOT

"TRANSMISSION LINE FAULT DETECTION BY USING IOT ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 3, page no.g293-g300, March-2024, Available :http://www.jetir.org/papers/JETIR2403641.pdf

"TRANSMISSION LINE FAULT DETECTION BY USING IOT ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 3, page no. ppg293-g300, March-2024, Available at : http://www.jetir.org/papers/JETIR2403641.pdf