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All Journal International Journal of Applied Power Engineering (IJAPE) Bulletin of Electrical Engineering and Informatics Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Bulletin of Electrical Engineering and Informatics Bulletin of Electrical Engineering and Informatics Indonesian Journal of Electrical Engineering and Computer Science
Arabinda Das
Jadavpur University
Computer Science & IT Electrical & Electronics Engineering Engineering

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Journal : International Journal of Applied Power Engineering (IJAPE)

 1 
Power system fault identification and localization using multiple linear regression of principal component distance indices Alok Mukherjee; Palash Kr. Kundu; Arabinda Das
International Journal of Applied Power Engineering (IJAPE) Vol 9, No 2: August 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (892.487 KB) | DOI: 10.11591/ijape.v9.i2.pp113-126

Abstract

This paper is focused on the application of principal component analysis (PCA) to classify and localize power system faults in a three phase, radial, long transmission line using receiving end line currents taken almost at the midpoint of the line length. The PCA scores are analyzed to compute principal component distance index (PCDI) which is further analyzed using a ratio based analysis to develop ratio index matrix (R) and ratio error matrix (RE) and ratio error index (REI) which are used to develop a fault classifier, which produces a 100% correct prediction. The later part of the paper deals with the development of a fault localizer using the same PCDI corresponding to six intermediate training locations, which are analyzed with tool like Multiple Linear Regression (MLR) in order to predict the fault location with significantly high accuracy of only 87 m for a 150 km long radial transmission line.
Co-Authors Ajay Sensarma Alok Mukherjee Alok Mukherjee Amar Nath Sanyal Amarnath Sanyal Palash Kr. Kundu Palash Kundu Raju Basak