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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Feifeng Zheng & Zhixin Wang & Zhaojie Wang & Ming Liu, 2023. "Daytime and Overnight Joint Charging Scheduling for Battery Electric Buses Considering Time-Varying Charging Power," Sustainability, MDPI, vol. 15(13), pages 1-19, July.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:13:p:10728-:d:1189185
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    References listed on IDEAS

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