A novel microgrid fault detection and classification method using maximal overlap discrete wavelet packet transform and an augmented Lagrangian particle swarm optimization-support vector machine

A novel microgrid fault detection and classification method using maximal overlap discrete wavelet packet transform and an augmented Lagrangian particle swarm optimization-support vector machine

In this paper, an intelligent method for fault detection and classification for a microgrid (MG) was proposed. The idea was based on the combination of three computational tools: signal processing using the maximal overlap discrete wavelet packet transform (MODWPT), parameter optimization by the aug...

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Bibliographic Details
Main Authors: Ahmadipour, Masoud, Othman, Muhammad Murtadha, Bo, Rui, Salam, Zainal, Mohammed Ridha, Hussein, Hasan, Kamrul
Format: Article
Language:English
Published: Elsevier Ltd 2022
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.utm.my/103644/1/ZainalSalam2022_ANovelMicrogridFaultDetectionandClassification.pdf

Internet

http://eprints.utm.my/103644/1/ZainalSalam2022_ANovelMicrogridFaultDetectionandClassification.pdf

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