Robust charging strategies for electric bus fleets under energy consumption uncertainty
Document Type
Journal Article
Publication Date
2022
Subject Area
mode - bus, operations - reliability, infrastructure - maintainance, infrastructure - vehicle, planning - safety/accidents, planning - service improvement, technology - alternative fuels, technology - emissions, literature review - literature review
Keywords
Electric bus, Charging, Energy consumption
Abstract
Charging management has a profound impact on the reliability and safety of electric bus (EB) services. However, the actual charging operation of EB fleets is a critical challenge due to uncertain energy consumption, limited charging resources and other factors. A deterministic model and a robust model with a probability-free uncertainty set are proposed and compared. The power is optimized via rational allocation of charging resources, where the uncertainty of energy consumption is addressed to achieve the dual goals of reducing charging expenses and improving system robustness. A column generation algorithm is designed to solve the optimization issue. The experimental results show that the obtained robust charging strategies can achieve up to 97.88% utilization of charging resources at low electricity prices. Moreover, the robust model can effectively prevent low electric quantity and delayed departure issues for EBs caused by the uncertainty of energy consumption.
Rights
Permission to publish the abstract has been given by Elsevier, copyright remains with them.
Recommended Citation
Liu, K., Gao, H., Wang, Y., Feng, T., & Li, C. (2022). Robust charging strategies for electric bus fleets under energy consumption uncertainty. Transportation Research Part D: Transport and Environment, Vol. 104, 103215.
Comments
Transportation Research Part D Home Page:
http://www.sciencedirect.com/science/journal/13619209