The invention discloses an electric vehicle cluster charging scheduling method. In order to solve the problem of resource waste caused by improper setting of a power grid load predicted value and inappropriate scheduling during charging in an existing electric vehicle cluster charging method, power grid regions are divided according to grids, historical load data of each power grid region are obtained, single-day power grid load data are compared, and the power grid load predicted value is obtained through prediction in different time periods; identifying to-be-charged automobiles in the charging pile identification range in each power grid region, marking priorities, and calculating loads needing to be increased by the power grid and duration required for increasing the loads when the various automobiles are charged; and calculating a difference value between the power grid load prediction value and the corresponding load value, comparing the difference value with loads needing to be increased for charging various automobiles, and deciding to charge the various automobiles according to a comparison result. Reasonable prediction is matched with hierarchical scheduling, cluster type charging of the electric vehicles is achieved, resource waste is remarkably reduced, and prediction and electric vehicle charging efficiency is improved.
本发明公开了一种电动汽车集群充电调度方法。为了解决现有电动汽车集群充电方法对电网负荷预测值设定不当与充电时调度不得当引起的资源浪费问题,本发明按网格划分电网区域,获取各电网区域历史负荷数据,对比单日电网负荷数据,分时间段预测得出电网负荷预测值;识别各电网区域中充电桩识别范围内待充电汽车并标记优先级,计算各类汽车充电时电网所需增加的负荷和增加负荷所需时长;计算电网负荷预测值和对应负荷值的差值,将差值与各类汽车充电所需增加的负荷对比,依照对比结果决定对各类汽车实行划等级充电。合理预测配合分级调度,实现对电动汽车地集群式充电,显著减少资源浪费,提高了预测和电动汽车充电效率。
Electric vehicle cluster charging scheduling method
一种电动汽车集群充电调度方法
2024-06-11
Patent
Electronic Resource
Chinese
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