Bi-level optimization for locating fast-charging stations in large-scale urban networks

Cong Quoc Tran, Dong Ngoduy, Mehdi Keyvan-Ekbatani, David Watling

Research output: Chapter in Book/Report/Conference proceedingConference PaperOther

Abstract

Although the electrification of transportation can bring long-term sustainability, increasing penetration of Electric Vehicles (EVs) may cause more congestion. Inappropriate deployment of charging stations not only hinders the EVs adoption but also increases the total system costs. This paper attempts to identify the optimal locations for fast-charging stations in the urban network considering heterogeneous vehicles with respect to the traffic congestion at different levels of EVs' penetration. A bi-level optimization framework is proposed to solve this problem in which the upper level aims to locate charging stations by minimizing the total travel time and the infrastructure costs. On the other hand, the lower level captures re-routing behaviours of travellers with their driving ranges. Finally, numerical study is performed to demonstrate the fast convergence of the proposed framework.

Original languageEnglish
Title of host publication2020 Forum on Integrated and Sustainable Transportation Systems, FISTS 2020
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages205-210
Number of pages6
ISBN (Electronic)9781728195032
DOIs
Publication statusPublished - 2020
Externally publishedYes
EventForum on Integrated and Sustainable Transportation Systems 2020 - Delft, Netherlands
Duration: 3 Nov 20205 Nov 2020
https://ieeexplore.ieee.org/xpl/conhome/9264840/proceeding (Proceedings)

Conference

ConferenceForum on Integrated and Sustainable Transportation Systems 2020
Abbreviated titleFISTS 2020
CountryNetherlands
CityDelft
Period3/11/205/11/20
Internet address

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