基于微观交通流模型的城市快充负荷精细化实时仿真框架

Electric vehicles are rapidly gaining popularity, and various fast and ultra-fast charging stations are continuously increasing in power. This leads to the prominent real-time fluctuation characteristics of urban charging loads. This study proposes a real-time simulation framework for urban fast-charging loads based on micro-level modeling of the transportation network. First, considering micro-level traffic behaviors such as vehicle following, overtaking, and lane-changing, a detailed traffic network model is established to illustrate the impact of the operational status of the traffic network and charging facilities on driving behavior and charging choices. Then, a traffic travel matrix is established to allocate electric vehicle travel demands. Factors such as time, distance, and prices are considered for individual electric vehicle charging choices. Finally, through a second-by-second simulation of electric vehicles' driving and charging decision-making processes in the micro-level traffic network, the real-time dynamic changes in traffic flow and fast-charging station charging loads are obtained. Using simulation examples based on the actual traffic network in Nanjing, the dynamic characteristics of charging loads are fully demonstrated, providing a powerful analytical foundation and simulation tool for fine-grained charging load scheduling.