摘要
电动汽车充电站负荷建模是开展规模化充电负荷预测及评估充电负荷对电网影响的基础工作,充电站负荷与电动车辆的进站流量、充电时长、充电能力等多种因素有关,呈现出较为复杂的特征,这使得负荷建模存在许多难点。文章通过分析进站车辆流量对充电负荷的影响,提出了描述充电站负荷的2种建模方法:一种是在一定前提条件下快速计算充电负荷的数学公式;另一种是计及多种实际影响因素的动态过程仿真方法。进而阐述了负荷模型的应用方法和具体步骤,以北京奥运电动公交充电站为例进行了仿真,并与实测数据进行了对比验证。结果表明2种建模方法都能较好地描述充电站负荷的变化规律,其中动态仿真方法能更准确地反映多种因素对充电站负荷的影响。所提方法运算速度快、数据接口清晰,可满足规模化电动汽车负荷仿真的要求。
To execute large-scale charging load forecasting and evaluate the influence of charging load on power grid, the load modeling of electric vehicle （EV） charging station is an element task for them. The load of charging station is related to following factors： the flow of EV driven into charging station, the duration of charging and charging capability of the station, so it presents a complex characteristics and it makes difficulties in the load modeling of charging station. Firstly, by means of analyzing the influence of the flow of EV driven into charging station on charging load, two modeling methods based on the description of load in charging station are proposed： one of them is based on mathematical formula, by which the charging load can be rapidly calculated under certain preconditions, and the another is a method based on the simulation of dynamic process, in which multi practical influencing factors are taken into account; secondly, the application method of the load model and concrete steps of the application are expounded. Taking the charging station for electric buses during Beijing Olympic Games as the background, the load modeling process is simulated and simulation results are compared with measured data to verify the feasibility of the proposed methods. Simulation results show that both the proposed methods can describe the load variation of charging station well, and the dynamic simulation method can reflect the influences of multi factors on load of charging station more accurately.
出处
《电网技术》
EI
CSCD
北大核心
2013年第5期1190-1195,共6页
Power System Technology
基金
国家863高技术基金项目(2012AA050211)~~
关键词
电动汽车
充电站
负荷模型
蒙特卡洛仿真
electric vehicle （EV）
charging station
loadmodel
Monte Carlo simulation
作者简介
杨少兵（1972），男，副教授，研究方向为电力系统仿真，E—mail：shbyang@bjtll．edu．cn；
吴命利（1971），男，博士，教授，博士生导师，研究方向为电气化铁道供电、电力系统数字仿真；
姜久春（1973），男，博士，教授，博士生导师，主要研究方向为新能源发电。
