An applied deep reinforcement learning approach to control active networked microgrids in smart cities with multi-level participation of battery energy storage system and electric vehicles

•Multi-layers NMG energy management based on the RES and EVs uncertainties.•Improving NMG transient stability based on deep reinforcement learning algorithms.•Hierarchical intelligent control model based on learning algorithms. This study proposed an intelligent energy management strategy for island...

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Bibliographic Details

Published in:	Sustainable cities and society Vol. 107; p. 105352
Main Authors:	Sepehrzad, Reza, Langeroudi, Amir Saman Godazi, Khodadadi, Amin, Adinehpour, Sara, Al-Durra, Ahmed, Anvari-Moghaddam, Amjad
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 15.07.2024
Subjects:	Deep reinforcement learning algorithm Electric vehicles Energy management Networked microgrid Electric vehicles Deep reinforcement learning algorithm Energy management Networked microgrid
ISSN:	2210-6707, 2210-6715
Online Access:	Get full text
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