Highlights Integrated optimization of charging infrastructure and charging scheduling. A two-phase optimization framework is proposed to solve the integrated problem. Uncertainties in bus energy consumption and vehicle travel time are considered. A novel rolling horizon approach is proposed to tackle real-time charging scheduling.

    Abstract Studies on the electric bus system planning problem have typically focused exclusively on either the deployment of charging infrastructure or the scheduling of charging events; few have examined the impact of charging facility deployment on charging activities. Considering the interdependence of system design and operational strategies, this study proposes a two-phase optimization framework for charging infrastructure planning and charging scheduling for battery electric bus systems. An integrated optimization model is first developed to simultaneously optimize charger deployment, on-board battery capacity, and charging schedules. A charging scheduling model is further proposed and a rolling horizon approach is utilized in the second phase to optimize the real-time charging scheduling of electric buses. Compared to existing electric bus system planning methods, the proposed integrated model can reduce the total system cost by 19.5%. In addition, compared to uncontrolled charging, the proposed rolling horizon-based charging strategy can reduce the total charging cost by 68.3%.


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    Title :

    Integrated charging infrastructure planning and charging scheduling for battery electric bus systems


    Contributors:
    He, Yi (author) / Liu, Zhaocai (author) / Song, Ziqi (author)


    Publication date :

    2022-08-14




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English