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ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
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Issue: November 2022

Volume 7 | Issue 11

Impact factor: 8.15

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Authors Name: R.Dharmalingam , C.Elaiyaraja , K.Arunganesh
Unique Id: IJSDR2211138
Published In: Volume 7 Issue 11, November-2022
Abstract: Transmission lines play an essential role in the power system network, but their losses are enormous compared to other components of the power system due to the many conditions of transmission lines and the wide range of prone to failure. Because these flaws are difficult to detect, the entire cable must be replaced. As a result, extensive research has been conducted to use cutting-edge technologies to improve consumer energy supply. Identifying the source of a failure is time-consuming; rapid failure detection allows the equipment to be protected before significant damage occurs. Precise fault location can assist maintenance personnel in troubleshooting persistent faults and locating fault-prone areas, reducing fault occurrence and minimizing outage time. This article aims to use an Arduino board to detect a flaw in a transmission line and transmit it to a control center via an IoT device. An IoT-based circuit breaker is a fast-responding system controlled by an interconnected network (the Internet). The IoT blynk Platform monitors transformer temperature and fire detection events in real-time. Through an IoT module connection, line status, such as temperature and ON/OFF status, can be accessed via the BLYNK APP. This is possible with a sophisticated, low-power, low-cost Nodemcu IoT module.
Keywords: Fault detection, Internet of things, Arduino UNO, LM 35
Cite Article: "TRANSMISSION LINE MULTIPLE FAULTS DETECTION AND INDICATION TO ELECTRICITY BOARD", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.7, Issue 11, page no.949 - 954, November-2022, Available :http://www.ijsdr.org/papers/IJSDR2211138.pdf
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Publication Details: Published Paper ID: IJSDR2211138
Registration ID:202726
Published In: Volume 7 Issue 11, November-2022
DOI (Digital Object Identifier):
Page No: 949 - 954
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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