[HTML][HTML] Deep reinforcement learning control of electric vehicle charging in the presence of photovoltaic generation

M Dorokhova, Y Martinson, C Ballif, N Wyrsch - Applied Energy, 2021 - Elsevier
In recent years, the importance of electric mobility has increased in response to climate
change. The fast-growing deployment of electric vehicles (EVs) worldwide is expected to …

Coordinated planning of electric vehicle charging infrastructure and renewables in power grids

B Wang, P Dehghanian, D Zhao - IEEE Open Access Journal of …, 2023 - ieeexplore.ieee.org
This paper proposes a new planning model to coordinate the expansion of electric vehicle
charging infrastructure (EVCI) and renewables in power grids. Firstly, individual electric …

Intelligent charging and discharging of electric vehicles in a vehicle-to-grid system using a reinforcement learning-based approach

J Maeng, D Min, Y Kang - Sustainable Energy, Grids and Networks, 2023 - Elsevier
Recent advances in electric vehicle (EV) technology have increased the importance of
vehicle-to-grid (V2G) systems in the smart grid domain. These systems allow bidirectional …

Constrained EV charging scheduling based on safe deep reinforcement learning

H Li, Z Wan, H He - IEEE Transactions on Smart Grid, 2019 - ieeexplore.ieee.org
Electric vehicles (EVs) have been popularly adopted and deployed over the past few years
because they are environment-friendly. When integrated into smart grids, EVs can operate …

A constrained DRL-based bi-level coordinated method for large-scale EVs charging

F Ming, F Gao, K Liu, X Li - Applied Energy, 2023 - Elsevier
With the vigorous development of battery electric vehicles (BEVs), BEVs' charging
scheduling is essential for better economy and safety. In this paper, we aim to minimize the …

Deep reinforcement learning based charging scheduling for household electric vehicles in active distribution network

T Qi, C Ye, Y Zhao, L Li, Y Ding - Journal of Modern Power …, 2023 - ieeexplore.ieee.org
With the booming of electric vehicles (EVs) across the world, their increasing charging
demands pose challenges to urban distribution networks. Particularly, due to the further …

Local demand management of charging stations using vehicle-to-vehicle service: A welfare maximization-based soft actor-critic model

A Hussain, VH Bui, P Musilek - eTransportation, 2023 - Elsevier
Transportation electrification has the potential to reduce carbon emissions from the transport
sector. However, the increased penetration of electric vehicles (EVs) can potentially …

Overarching sustainable energy management of PV integrated EV parking lots in reconfigurable microgrids using generative adversarial networks

SSK Madahi, AS Kamrani… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In recent years, environmental issues have motivated the wide usage of electric vehicles
(EVs) due to their zero tailpipe emission. However, this trend can pose severe challenges to …

Integration of electric vehicles in smart grid using deep reinforcement learning

F Kiaee - 2020 11th International Conference on Information …, 2020 - ieeexplore.ieee.org
The vehicle-to-grid (V2G) technology provides an opportunity to generate revenue by selling
electricity back to the grid at peak times when electricity is more expensive. Instead of …

A modified rainbow-based deep reinforcement learning method for optimal scheduling of charging station

R Wang, Z Chen, Q Xing, Z Zhang, T Zhang - Sustainability, 2022 - mdpi.com
To improve the operating efficiency and economic benefits, this article proposes a modified
rainbow-based deep reinforcement learning (DRL) strategy to realize the charging station …