基于负荷预测的地区电动汽车充电设施容量配置

Regional Electric Vehicle Charging Devices Capacity Allocation Based on Load Estimation

为了精确配置某一区域内的电动汽车充电设施,提出一种基于蒙特卡洛仿真的充电负荷建模方法,在此基础上研究快充及慢充桩的精确配置。首先根据电动汽车的电池特性建立单台电动汽车充电负荷模型,通过蒙特卡洛仿真方法模拟区域内电动汽车的行驶及充电活动,从而得出区域内的总充电负荷,研究充电设施的配置方法。最后以北方某省会城市为例,运用该配置方案计算该城市公共充电网络的具体配置,进一步研究用户充电习惯的差异及车型差异对配置结果的影响,结果证明所提出的容量配置方法有效可行。

In order to accurately configure the electric vehicle charging facilities in a certain area,a charging load modeling method based on Monte Carlo simulation was proposed.Charging load model for single electric car was built,then Monte Carlo method was employed to simulate regional electric vehicles′charging activities and then the complete regional charging load was obtained.In this context,peak values in fast and slow load profile was used to determine the fast and slow charging devices′capacity.In order to verify the effectiveness of the above method,the expected number of EV holdings in a capital city in the north of China was input.Besides,differences between vehicle types and uncertainty shown in charging behaviors were also considered.The results showed that the proposed method was a feasible way to scale the charging network and ratio for fast and slow charging devices′capacities.