Robust charging strategies for electric bus fleets under energy consumption uncertainty

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.

Automated summary

This article focuses on the impact of charging management on the reliability and safety of electric bus services and proposes an optimization model based on rational allocation of charging resources to address the uncertainty of energy consumption. Experimental results show that the robust charging strategies can effectively utilize charging resources and prevent issues caused by low electric quantity and delayed departure.