Zuo, W. and Li, K. orcid.org/0000-0001-6657-0522 (2024) Electrical vehicle charging strategy for electric road systems considering V2G technology. In: Proceedings of 2023 IEEE International Conference on Energy Technologies for Future Grids (ETFG). 2023 IEEE International Conference on Energy Technologies for Future Grids (ETFG), 03-06 Dec 2023, Wollongong, Australia. Institute of Electrical and Electronics Engineers (IEEE) ISBN 978-1-6654-7991-2
Abstract
The accelerated adoption of electric vehicles (EVs) introduces a substantial amount of load to the power grid. The electric road system (ERS) emerged as a promising solution to decarbonize heavy good vehicles and extend the driving range of EVs, will further complicate the operation of power grid. Therefore, optimal scheduling of EV charging in ERS is vital in minimizing the impact of variable EV loads to the power grid that provides power supply to the ERS. This paper proposes a charging strategy based on load floating (LOF) electricity price. The approach divides a day into different time periods, counting the grid-connected and off-grid time of vehicles, and then establish dispatching and charging cost models, based on which the EV charging cost is minimized. The simulation results confirm the efficiency of the proposed scheduling strategy.
Metadata
Item Type: | Proceedings Paper |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | ©2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Keywords: | EVs, ERS systems, dynamic charging, V2G, optimizing strategy |
Dates: |
|
Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Institute of Communication & Power Networks (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 03 Jul 2024 10:30 |
Last Modified: | 04 Jul 2024 13:09 |
Status: | Published |
Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
Identification Number: | 10.1109/etfg55873.2023.10407724 |
Sustainable Development Goals: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:214322 |