Optimization of charging and discharging schedules for battery electric buses under the V2G environment
Document Type
Journal Article
Publication Date
2025
Subject Area
place - asia, place - urban, mode - bus, operations - scheduling, technology - alternative fuels, infrastructure - vehicle, infrastructure - fleet management
Keywords
Battery electric bus, vehicle to grid, bus scheduling, adaptive large neighbourhood search, simulated annealing
Abstract
Due to the limited range of battery electric buses (BEBs), they might be used to replace diesel buses at a ratio of 2:1 in some bus lines, which makes the BEBs greatly underused in the early adoption stages. With the rapid development of vehicle to grid (V2G) technology, the spare BEBs can earn profits through discharging during load peak periods of the grid while improve the operational stability of the regional power grid. This study formulates a mixed integer model for the BEB charging and discharging scheduling problem with multi-depots. An adaptive large neighbourhood search fused with simulated annealing (ALNS-SA) is developed to solve the model. Numerical experiments on a real-world bus network in Jiading District, Shanghai, China show that the total costs of the proposed cross-line operation strategy under the V2G environment are 8.5% lower compared to the single-line operation mode.
Rights
Permission to publish the abstract has been given by Taylor&Francis, copyright remains with them.
Recommended Citation
Zhou, X., An, K., & Schmöcker, J. D. (2025). Optimization of charging and discharging schedules for battery electric buses under the V2G environment. Transportmetrica B: Transport Dynamics, 13(1), 2506689.
