Charging Network Planning for Electric Bus Cities: A Case Study of Shenzhen, China
Yuping Lin,
Kai Zhang,
Zuo-Jun Max Shen and
Lixin Miao
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Yuping Lin: Center of Environmental Science & New Energy Technology, Tsinghua-Berkeley Shenzhen Institute, Tsinghua University, Shenzhen 518055, China
Kai Zhang: Center of Environmental Science & New Energy Technology, Tsinghua-Berkeley Shenzhen Institute, Tsinghua University, Shenzhen 518055, China
Zuo-Jun Max Shen: Department of Industrial Engineering and Operations Research, University of California, Berkeley, CA 94720, USA
Lixin Miao: Center of Environmental Science & New Energy Technology, Tsinghua-Berkeley Shenzhen Institute, Tsinghua University, Shenzhen 518055, China
Sustainability, 2019, vol. 11, issue 17, 1-27
Abstract:
In 2017, Shenzhen replaced all its buses with battery e-buses (electric buses) and has become the first all-e-bus city in the world. Systematic planning of the supporting charging infrastructure for the electrified bus transportation system is required. Considering the number of city e-buses and the land scarcity, large-scale bus charging stations were preferred and adopted by the city. Compared with other EVs (electric vehicles), e-buses have operational tasks and different charging behavior. Since large-scale electricity-consuming stations will result in an intense burden on the power grid, it is necessary to consider both the transportation network and the power grid when planning the charging infrastructure. A cost-minimization model to jointly determine the deployment of bus charging stations and a grid connection scheme was put forward, which is essentially a three-fold assignment model. The problem was formulated as a mixed-integer second-order cone programming model, and a “No R” algorithm was proposed to improve the computational speed further. Computational studies, including a case study of Shenzhen, were implemented and the impacts of EV technology advancements on the cost and the infrastructure layout were also investigated.
Keywords: charging station; electric bus; transportation network; power grid; location (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (11)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:11:y:2019:i:17:p:4713-:d:262125
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