Grid-Aware Robust Fast-Charging Station Deployment for Electric Buses Under Socioeconomic Considerations

The fast-charging technology enables electric buses to be quickly recharged during trips so that on-route operations can be maintained with modest battery capacity. Where to place the fast-charging stations and how to ensure the availability, efficacy, and efficiency of charging infrastructure become very important issues and have been studied in recent years; however, most of existing literature of this research only focus on the transit system itself and aim to reduce the costs. There are still several critical issues remain to be unsolved for the deployment of electric bus fast-charging stations. The major objective of this project is to develop a comprehensive optimization model to select the optimal location of fast-charging stations of electric buses. It aims at addressing several conceptual and methodological complexities inherited in the interconnected transportation-electricity infrastructure systems and the socioeconomic considerations for installing new charging stations to disadvantaged communities. In order to make the location selection decisions reliable, the optimization will also take into account a variety of uncertainties, such as traffic, local grid conditions, and energy usage between stops. A robust optimization methodology is adapted to guarantee that the selected locations are trustworthy enough to handle any real case scenario of uncertainty without violation of constraints. Benders’ decomposition approach is utilized to effectively solve the resulting two-stage robust optimization problem in an iterative way.


  • English


  • Status: Completed
  • Funding: $141542
  • Contract Numbers:


  • Sponsor Organizations:

    Office of the Assistant Secretary for Research and Technology

    University Transportation Centers Program
    Department of Transportation
    Washington, DC  United States  20590
  • Managing Organizations:

    Center for Teaching Old Models New Tricks (TOMNET)

    Arizona State University
    Tempe, AZ  United States  85287
  • Project Managers:

    Pendyala, Ram

  • Performing Organizations:

    University of Washington, Seattle

    1107 NE 45th Street, Suite 535
    Seattle, WA  United States  98105
  • Principal Investigators:

    Zhao, Chaoyue

  • Start Date: 20220916
  • Expected Completion Date: 20230915
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers Program

Subject/Index Terms

Filing Info

  • Accession Number: 01868143
  • Record Type: Research project
  • Source Agency: Center for Teaching Old Models New Tricks (TOMNET)
  • Contract Numbers: 69A3551747116
  • Files: UTC, RIP
  • Created Date: Dec 21 2022 11:31AM