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发明公开
CN110363332A 一种基于个体行为特性的电动汽车充电负荷时空分布预测方法 无效 - 驳回

一种基于个体行为特性的电动汽车充电负荷时空分布预测方法
摘要：
本发明涉及一种基于个体行为特性的电动汽车充电负荷时空分布预测方法，其特征在于：包括如下步骤：(1)估计该地区未来某一年电动汽车的保有量；(2)对充电站类型进行划分；(3)构造符合电动汽车实际出行规律的出行链；(4)模拟得到电动汽车出行规律；(5)计算电动汽车在出行链中对应的出行目的地停车充电的概率以及充电时的充电方式、充电时长；(6)得到每辆电动汽车充电的负荷分布；(7)得到待预测地区未来某一天的电动汽车充电负荷分布曲线。本发明能够降低充电、停车压力，缓解交通拥挤，能够对电网设施布局作出准确规划的优点。
摘要（英）：

The invention relates to an electric vehicle charging load space-time distribution prediction method based on individual behavior characteristics. The method is characterized by comprising the following steps: (1) estimating the inventory of an electric vehicle in a certain year in the future in a region; (2) dividing the types of the charging stations; (3) constructing a travel chain conforming to the actual travel rule of the electric vehicle; (4) simulating and obtaining an electric vehicle travel rule; (5) calculating the parking charging probability of the electric vehicle at the corresponding travel destination in the travel chain and the charging mode and charging duration during charging; (6) obtaining the charging load distribution of each electric vehicle; and (7) obtaining an electric vehicle charging load distribution curve of the to-be-predicted region in a certain day in the future. The method has the advantages that the charging and parking pressure can be reduced, the traffic congestion can be relieved, and the power grid facility layout can be accurately planned.

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