I. J. of Electrical & Electronics Research
Research Article | 
Remote Fault Identification and Analysis in Electrical Distribution Network Using Artificial Intelligence
Author(s): Dr. N M G Kumar1, Dr. A. Hema Sekhar2, Dr. K. Balaji Nanda Kumar Reddy3, Angulakshmi M4 and Dr. Devangkumar Umakant Shah5
Published In : International Journal of Electrical and Electronics Research (IJEER) Volume 10, Issue 4, SI on Applications of AI and IOT Process Control
Publisher : FOREX Publication
Published : 25 December 2022
e-ISSN : 2347-470X
Page(s) : 1213-1218
Abstract
This research describes a method for wavelet decomposition and machine learning-based fault site classification in a radial power distribution network. The first statistical observation is produced using wavelet decomposition and wavelet-based detailed coefficients in terms of Kurtosis and Skewness parameters. For this objective, six distinct machine learning methods are deployed. They are evaluated and compared using unknown data sets with varying degrees of unpredictability. One approach has been shown to be the most accurate in locating the location of the problem bus.
Keywords: Discrimination, Kurtosis, Machine learning, Radial network, Remote fault location, Skewness.
Dr. N M G Kumar*, Professor, Department of Electrical and Electronics Engineering, Mohan Babu University, Sree Vidyanikethan Engineering College, Tirupathi, Andhra Pradesh, India; Email: nmgkumar@gmail.com
Dr. A. Hema Sekhar, Professor and HOD, Department of EEE, VEMU Institute of Technology, P. Kothakota, Chittoor, Andhra Pradesh, India; Email: ahemasekar@yahoo.com
Dr. K. Balaji Nanda Kumar Reddy, Associate Professor, Department of EEE, Annamacharya Institute of Technology & Sciences, Tirupati, Andhra Pradesh, India; Email: balajinkr@gmail.com
Angulakshmi M, Assistant Professor, School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India; Email: angulakshmi.m@vit.ac.in
Dr. Devangkumar Umakant Shah, Principal and Professor, Department of Electrical Engineering, K. J. Institute of Engineering & Technology, Savli, Vadodara, India; Email: dushah88@gmail.com
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Dr. N M G Kumar, Dr. A. Hema Sekhar, Dr. K. Balaji Nanda Kumar Reddy, Angulakshmi M and Dr. Devangkumar Umakant Shah (2022), Remote Fault Identification and Analysis in Electrical Distribution Network Using Artificial Intelligence. IJEER 10(4), 1213-1218. DOI: 10.37391/IJEER.100471.