计及路电耦合模型的电动汽车有序调度优化方法研究  

Research on the Optimization Method of Orderly Scheduling of Electric Vehicles Considering the Road-electricity Coupling Model

作　　者：张镡尹 王禹超 严嘉亿 Zhang Xinyin;Wang Yuchao;Yan Jiayi

机构地区：[1]南京工程学院,江苏南京210000

出　　处：《时代汽车》2025年第3期128-130,共3页Auto Time

摘　　要：针对大量电动汽车作为随机负荷接入电网时,其特有的波动性、无序性影响电网稳定这一问题,提出一种计及路电耦合模型的电动汽车有序调度优化方法。首先,考虑交通网络拓扑结构、充电桩建设网络和电池SOC等因素,计算最短充电路径,进而对电动汽车充电负荷时空分布进行预测;其次,提出基于充电路径优化的预测融合交通网和电网信息的路段赋权策略,引入Floyd算法进行模型建立,使用自适应粒子群优化算法进行求解;最后通过仿真实验对此优化策略进行验证。结果表明,该优化方法在大量电动汽车接入电网下有效提升电动汽车充电效率,节约充电时间,减少充电成本。In order to solve the problem that the unique volatility and disorder of a large number of electric vehicles aff ect the stability of the power grid when they are connected to the power grid as random loads,an orderly dispatching optimization method of electric vehicles considering the road-electricity coupling model is proposed.Firstly,considering the topology of the transportation network,the construction network of charging piles and the battery SOC,the shortest charging path is calculated,and then the spatiotemporal distribution of electric vehicle charging load is predicted.Secondly,a road section weighting strategy based on charging path optimization was proposed,the Floyd algorithm was introduced to establish the model,and the adaptive particle swarm optimization algorithm was used to solve the problem.Finally,the optimization strategy is verifi ed by simulation experiments.The results show that the optimization method can eff ectively improve the charging effi ciency,save charging time and reduce charging cost when a large number of electric vehicles are connected to the power grid.

关 键 词：电动汽车 随机负荷 充电负荷时空分布 充电路径优化 

分 类 号：U46[机械工程—车辆工程]