Development of a modified adaptive protection scheme using machine learning technique for fault classification in renewable energy penetrated transmission line

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Development of a modified adaptive protection scheme using machine learning technique for fault classification in renewable energy penetrated transmission line

The conventional utility grid-protection scheme is predesigned at the network's early planning stage with consideration to the high short circuit fault current magnitude contribution level from the Synchronous Generators (SG) to prevent the mal-operation of the relaying scheme. In the modern po...

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Bibliographic Details
Main Author:	Olufemi, Osaji Emmanuel
Format:	Thesis
Language:	English
Published:	2020
Subjects:	Renewable energy sources Machine learning Electric lines
Online Access:	http://psasir.upm.edu.my/id/eprint/92996/ http://psasir.upm.edu.my/id/eprint/92996/1/FK%202021%2012%20IR.pdf

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