Robust optimization for integrated planning of electric-bus charger deployment and charging scheduling

Yu Zhou; Hua Wang; Yun WangRui Li

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Robust optimization for integrated planning of electric-bus charger deployment and charging scheduling

机译：Robust optimization for integrated planning of electric-bus charger deployment and charging scheduling

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Public transit (PT) operators have been replacing existing bus fleets with electric buses (EBs) to achieve carbon neutrality. To ensure a cost-effective EB operation with driving range anxiety, fast en-route charging technology has been adopted to recharge EBs during the dwell time. This study aims to determine an integrated robust planning for EB systems, by simultaneously optimizing en-route charger deployment, charging schedule and EB battery configuration, with the goal to minimize the total cost. A deterministic optimization model was first formulated that incorporates multiple practical factors such as weight-related energy consumption and charging capacity. Then we move forward to build robust optimization models to consider the energy consumption uncertainty. The developed models are transformed into equivalent and tractable formulations, which can be solved efficiently by off-the-shelf solvers. Lastly, numerical experiments demonstrate that the proposed models can provide an optimal and robust EB system planning solution for PT operators.

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《Transportation research, Part D. Transport and environment》 |2022年第9期|103410.1-103410.20|共20页
作者
Yu Zhou; Hua Wang; Yun WangRui Li;
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作者单位

Department of Civil and Environmental Engineering, National University of Singapore, Singapore 117576, Singapore;

MOT Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China;

College of Civil and Transportation Engineering, Hohai University, Nanjing 210024, China;

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正文语种英语
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Electric buses; Charging facility deployment; Charging scheduling; Battery configuration; Energy consumption uncertainty; Robust optimization;

Robust optimization for integrated planning of electric-bus charger deployment and charging scheduling

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