Ensemble voting‐based fault classification and location identification for a distribution system with microgrids using smart meter measurements

Abstract This study presents an ensemble learning approach for fault classification and location identification in a smart distribution network containing photovoltaics (PV)‐based microgrid. Lack of available data points and the unbalanced nature of the distribution system make fault handling a chal...

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Bibliographic Details
Main Authors: Md Maidul Islam, Muhammad Usama Usman, Alvi Newaz, Md Omar Faruque
Format: Article
Language:English
Published: Wiley 2023-06-01
Series:IET Smart Grid
Online Access:https://doi.org/10.1049/stg2.12091

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