Electric vehicle clusters scheduling strategy considering real-time electricity prices based on deep reinforcement learning

With the increasing penetration of electric vehicles (EVs), the orderly charging–discharging (C–D) strategy of EVs can effectively alleviate the impact of large-scale grid-connected EVs. However, the schedule of the C–D system of EV clusters encounters the curse of dimensionality problem. In additio...

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Bibliographic Details

Published in:	Energy Reports
Main Authors:	Kang Wang, Haixin Wang, Junyou Yang, Jiawei Feng, Yunlu Li, Shiyu Zhang, Martin Onyeka Okoye
Format:	Article
Language:	English
Published:	Elsevier 2022-07-01
Subjects:	Electric vehicle cluster Real-time electricity price Markov decision process Deep reinforcement learning Charge–discharge scheduling strategy
Online Access:	http://www.sciencedirect.com/science/article/pii/S2352484722002335