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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Veröffentlicht in:	Sustainable cities and society Jg. 107; S. 105352
Hauptverfasser:	Sepehrzad, Reza, Langeroudi, Amir Saman Godazi, Khodadadi, Amin, Adinehpour, Sara, Al-Durra, Ahmed, Anvari-Moghaddam, Amjad
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 15.07.2024
Schlagworte:	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-Zugang:	Volltext
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