Tran, CQ, Keyvan-Ekbatani, M, Ngoduy, D et al. (1 more author) (2021) Stochasticity and environmental cost inclusion for electric vehicles fast-charging facility deployment. Transportation Research Part E: Logistics and Transportation Review, 154. 102460. ISSN 1366-5545
Abstract
This study aims to seek the optimal deployment of fast-charging stations concerning the traffic flow equilibrium and various realistic considerations to promote Electric Vehicles (EVs) widespread adoption. A bi-level optimization framework has been developed in which the upper level aims to minimize the total system cost (i.e., capital cost, travel cost, and environmental cost). Meanwhile, the lower level captures travellers’ routing behaviours with stochastic demands and driving range limitation. A meta-heuristic approach has been proposed, combining the Cross-Entropy Method and the Method of Successive Average to solve the problem. Finally, numerical studies are conducted to demonstrate the proposed framework’s performance and provide insights into the impact of uncertain driving range and charging congestion on the planning decision and the system performance. Generally, both on-route congestion and charging congestion tend to be more serious when there are more EVs in the network; however, the system performance can be improved by increasing EVs’ driving range limitation and providing appropriate charging infrastructure.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2021 Elsevier Ltd. All rights reserved. This is an author produced version of an article published in Transportation Research Part E: Logistics and Transportation Review Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Electric Vehicles; Fast-charging stations; Bi-level optimization; Stochastic driving range; Charging congestion; Queuing theory |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) > ITS: Spatial Modelling and Dynamics (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 20 Aug 2021 13:47 |
Last Modified: | 31 Aug 2022 00:13 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.tre.2021.102460 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:177267 |
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