A SURVEY ON THE APPLICATION OF ARTIFICIAL NEURAL NETWORK-BASED APPROACH FOR FAULT LOCATION IN EXTRA HIGH VOLTAGE (EHV) NETWORK
Saurabh S. Shingare1, Prabodh Khampariya2, Shashikant M. Bakre3
1Research Scholar, Department of Electrical Engineering, School of Engineering, SSSUTMS, Sehore, M.P. (India)
2Professor, Department of Electrical Engineering, School of Engineering, SSSUTMS, Sehore, M.P. (India)
3Associate Professor, Department of Electrical Engineering, AISSMS IOIT, Pune (India)
saurabhgcek@gmail.com, khampariya5@gmail.com, profsmbakre@gmail.com
Abstract- Recently, neural networks have acquired substantial relevance in defect location. The widespread use of neural networks began in the late 1980s and early 1990s. Normally, neural networks are used to improve defect detection, classification, and localization. There has been a lot of study and material written on fault location using neural networks. This research covers use of artificial neural networks (ANN) in identification of faults in EHV networks. We choose recent publications to uncover research gaps or expansions in the chosen study field.
Keywords- Artificial Neural Network, Fault Identification, Extra High Voltage Networks, Defect Location.