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...

Celý popis

Podrobná bibliografia

Vydané v:	Sustainable cities and society Ročník 107; s. 105352
Hlavní autori:	Sepehrzad, Reza, Langeroudi, Amir Saman Godazi, Khodadadi, Amin, Adinehpour, Sara, Al-Durra, Ahmed, Anvari-Moghaddam, Amjad
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 15.07.2024
Predmet:	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
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!