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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Vydáno v:	Sustainable cities and society Ročník 107; s. 105352
Hlavní autoři:	Sepehrzad, Reza, Langeroudi, Amir Saman Godazi, Khodadadi, Amin, Adinehpour, Sara, Al-Durra, Ahmed, Anvari-Moghaddam, Amjad
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 15.07.2024
Témata:	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
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