Impacts of charging pricing schemes on cost-optimal logistics electric vehicle fleet operation

被引:9
作者
Deng, Jiali [1 ]
Hu, Hao [1 ]
Gong, Sicheng [2 ]
Dai, Lei [1 ]
机构
[1] Shanghai Jiao Tong Univ, Dept Transportat Engn, Shanghai 200240, Peoples R China
[2] Eindhoven Univ Technol, Dept Elect Engn, NL-5612 AZ Eindhoven, Netherlands
基金
中国国家自然科学基金;
关键词
Charging pricing scheme; Electric vehicle routing; Optimal charging decision; Electricity market; ROUTING PROBLEM; COORDINATION; STRATEGY; TIMES;
D O I
10.1016/j.trd.2022.103333
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Confronted with limited driving range and insufficient charging infrastructure, logistics companies owning electric vehicles (EVs) have to conduct comprehensive route planning. Meanwhile, in open-transaction electricity markets, diversified charging pricing schemes increase the complexity of cost-effective business and operational decisions. To this end, an extended EV routing model embedded with price-responsive charging decisions is proposed with three variants considering the contract, spot, and time-of-use (TOU) schemes. The price signals of the heterogeneous pricing schemes have different degrees of granularity. Furthermore, a thorough experimental study enabled by regional-level logistics instances and real-world electricity prices is conducted. The results demonstrate the cost-saving potential of the TOU and spot schemes. Additionally, the shifting of charging demands to low-priced periods is found in the spot and TOU schemes, thus enhancing the environmental benefits of charging events. These results provide insights into cost-effective logistics EV fleet operations, as well as policy making for logistics-related charging pricing.
引用
收藏
页数:22
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