Automatic Intelligent Transmission Line Fault Detector

June 2021
Vol-7, Issue-3
Paper ID: 14700
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
ELECTRICAL ENGINEERING
Keywords
Internet of things Microcontroller Transmission line Fault in transmission line Rectification panel Webpage.
Abstract
The fault that occurred in the transmission line is very much dangerous for the locality. Transmission line protection is an important issue in power system. This paper presents a technique to detect the different faults detection on a transmission line for quick and reliable operation of transmission line. These faults directly affect the customers so that it must be found out and rectified as fast as possible. The exact fault location can help the serviceman to remove the persistence the faults and locate the areas where the faults occur regularly, thus reducing the occurrence of a fault and minimize the time of power outages. Internet of Things (IoT) is a rapidly increasing technology. IoT is the network of physical objects or things embedded with electronic software, sensors, and network connectivity that enables these objects to collect and exchange data. IoT then deals with bringing control of physical devices over the internet. In this project, we are developing a system that will automatically monitor the transmission line faults and generate Alerts/Alarms or make intelligent decisions using the concept of IoT. The information regarding fault occurrence in a particular phase is sent to the web page via IoT device which is NODE MCU(Esp8266) and also shown on the display.

Author Information

# Name Institute / Affiliation
1 Ashish Polke Suryodaya College of Engineering & Technology, Nagpur, India
2 PRASANNA TITARMARE Suryodaya College of Engineering & Technology, Nagpur, India
3 Rahul Dekate Suryodaya College of Engineering & Technology, Nagpur, India
4 Shital Yende Suryodaya College of Engineering & Technology, Nagpur, India
5 Mohit Gharat Suryodaya College of Engineering & Technology, Nagpur, India
6 Ankit Virulkar Suryodaya College of Engineering & Technology, Nagpur, India
7 Brijesh Ukey Suryodaya College of Engineering & Technology, Nagpur, India
8 Pravin Mankar Suryodaya College of Engineering & Technology, Nagpur, India

How to Cite

Use the following formats to cite this article in your research.

APA Style
Polke, Ashish, TITARMARE, PRASANNA, Dekate, Rahul, Yende, Shital, Gharat, Mohit, Virulkar, Ankit, Ukey, Brijesh, & Mankar, Pravin (2021). Automatic Intelligent Transmission Line Fault Detector. International Journal of Advance Research and Innovative Ideas In Education, 7(3), 2890-2894.
MLA Style
Polke, Ashish, et al. "Automatic Intelligent Transmission Line Fault Detector." International Journal of Advance Research and Innovative Ideas In Education, vol. 7, no. 3, 2021, pp. 2890-2894.
IEEE Style
Ashish Polke, PRASANNA TITARMARE, Rahul Dekate, Shital Yende, Mohit Gharat, Ankit Virulkar, Brijesh Ukey, and Pravin Mankar, "Automatic Intelligent Transmission Line Fault Detector," International Journal of Advance Research and Innovative Ideas In Education, vol. 7, no. 3, pp. 2890-2894, 2021.
Vancouver Style
Polke Ashish, TITARMARE PRASANNA, Dekate Rahul, Yende Shital, Gharat Mohit, Virulkar Ankit, et al. Automatic Intelligent Transmission Line Fault Detector. International Journal of Advance Research and Innovative Ideas In Education. 2021;7(3):2890-2894.
Harvard Style
Polke, Ashish, TITARMARE, PRASANNA, Dekate, Rahul, Yende, Shital, Gharat, Mohit, Virulkar, Ankit, Ukey, Brijesh, & Mankar, Pravin (2021) 'Automatic Intelligent Transmission Line Fault Detector', International Journal of Advance Research and Innovative Ideas In Education, 7(3), pp. 2890-2894.
Chicago Style
Polke, Ashish, et al. "Automatic Intelligent Transmission Line Fault Detector." International Journal of Advance Research and Innovative Ideas In Education 7, no. 3 (2021): 2890-2894.
Turabian Style
Polke, Ashish, et al. "Automatic Intelligent Transmission Line Fault Detector." International Journal of Advance Research and Innovative Ideas In Education 7, no. 3 (2021): 2890-2894.

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