High impedance fault detection and isolation in power distribution networks using support vector machines

High impedance fault detection and isolation in power distribution networks using support vector machines

This paper proposes an accurate High Impedance Fault (HIF) detection and isolation scheme in a power distribution network. The proposed scheme utilizes the data available from voltage and current sensors. The technique employs multiple algorithms consisting of Principal Component Analysis, Fisher Di...

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Bibliographic Details
Main Authors: Muhammad Sarwar, Faisal Mehmood, Muhammad Abid, Abdul Qayyum Khan, Sufi Tabassum Gul, Adil Sarwar Khan
Format: Article
Language:English
Published: Elsevier 2020-12-01
Series:Journal of King Saud University: Engineering Sciences
Subjects:
Fisher Discriminant Analysis
High impedance fault
Principal Component Analysis
Support vector machines
Online Access:http://www.sciencedirect.com/science/article/pii/S1018363919302004

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http://www.sciencedirect.com/science/article/pii/S1018363919302004

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