Multi-objective charging scheduling for electric vehicles at charging stations with renewable energy generation

作者：Lei Zhang, Yingjun Ji, Xiaohui Li, Zhijia Huang, Dingsong Cui, Haibo Chen, Jingyu Gong, Fabian Breer, M. Junker, Dirk Uwe Sauer · 发表于：Green Energy and Intelligent Transportation · 年份：2025 · DOI：10.1016/j.geits.2025.100283 · 被引用次数：39 · 研究领域：Electric Vehicles and Infrastructure、Advanced Battery Technologies Research、Smart Grid Energy Management

The rapid adoption of electric vehicles (EVs) in recent years has posed significant challenges to the safe operation of local grids, particularly regarding charging operations at public charging stations.This paper proposes a real-time charging scheduling scheme to enable efficient Vehicle-to-Grid (V2G) interactions and facilitate renewable energy integration at public charging stations, while accounting for real-world EV charging behaviors. First, an EV charging/discharging behavior database is developed to capture the temporal uncertainty and charging characteristics of both fast- and slow-charging operations on weekdays and weekends. Then a charging pile allocation mechanism is introduced to optimize the charging power distribution for each EV, thereby maximizing the overall operational efficiency of the studied charging station. A micro-grid system model is developed incorporating efficient V2G interactions and renewable energy integration. Finally, a comprehensive charging scheduling scheme is proposed to achieve a balanced optimization of multiple objectives. Extensive simulation studies are conducted to evaluate the performance of the proposed scheduling method. The results demonstrate that the proposed scheme achieves strong performance across all three selected indicators. • A charging behaviour database is built using massive EV operating data. • A charging scheduling scheme is proposed for a public charging station. • A charging pile allocation method is presented ...