Affiliation:
1. Glorious Sun School of Business and Management, Donghua University, Shanghai 200051, China
2. 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.
Funder
National Natural Science Foundation of China
Fundamental Research Funds for the Central Universities
Graduate Student Innovation Fund of Donghua University
Subject
Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction