Daytime and Overnight Joint Charging Scheduling for Battery Electric Buses Considering Time-Varying Charging Power

Feifeng Zheng, Zhixin Wang (), Zhaojie Wang and Ming Liu
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Feifeng Zheng: Glorious Sun School of Business and Management, Donghua University, Shanghai 200051, China
Zhixin Wang: Glorious Sun School of Business and Management, Donghua University, Shanghai 200051, China
Zhaojie Wang: Glorious Sun School of Business and Management, Donghua University, Shanghai 200051, China
Ming Liu: School of Economics and Management, Tongji University, Shanghai 200092, China

Sustainability, 2023, vol. 15, issue 13, 1-19

Abstract: This work investigates the joint daytime and overnight charging scheduling problem associated with battery electric buses (BEBs) at a single charging station. The objective is to minimize the total charging costs of all BEBs. Two important factors, i.e., peak–valley price and time-varying charging power, are considered to depict real-world charging situations. We establish a mixed-integer programming model for the considered problem, and then conduct a case study together with sensitivity analysis. Numerical results show that compared with the existing first come, first serve rule-based charging solution, the charging schedule obtained by solving the established model via the CPLEX solver can save 7–8% of BEB charging costs. Hence, our model could be applied to improve the BEB charging schedule in practice.

Keywords: charging scheduling; battery electric bus; peak and valley electricity price; time-varying charging power; state of charge (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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