Multi‐agent protection scheme for microgrid using deep learning

Multi‐agent protection scheme for microgrid using deep learning

Abstract Producing clean energy and feeding critical loads in islanding mode are the main reasons for interest in microgrids. Different operation topologies of microgrids make traditional protection schemes inefficient. This paper proposes a multi‐agent protection scheme in which each protection age...

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Bibliographic Details
Main Authors: Abolfazl Najar, Hossein Kazemi Karegar, Saman Esmaeilbeigi
Format: Article
Language:English
Published: Wiley 2024-03-01
Series:IET Renewable Power Generation
Subjects:
fault diagnosis
fault location
microgrids
multi‐agent systems
power system protection
renewable energy sources
Online Access:https://doi.org/10.1049/rpg2.12929

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