The invention belongs to the field of charging pile control systems, and particularly relates to a charging pile charging control system and device combined with a multi-target particle swarm optimization algorithm, and the method comprises the following steps: 1, information collection: obtaining the information of an electric vehicle, the information of a charging pile and the information of a power grid; and 2, intelligent operation: obtaining a charging scheme of the electric vehicle by combining the working state of the charging pile, the historical charging record of the user and the charging demand. According to the charging pile charging control system and device provided by the invention, related charging information of an electric vehicle, charging requirement information of a user, the working state of the charging pile, the load state of a regional power distribution network and other information are combined, and an ordered charging strategy is formulated under the condition of meeting user reservation; different charging time and charging modes are arranged for each electric vehicle, so that the problem of overload of regional power grid load in the charging peak period is solved, the condition that a large number of electric vehicles are charged at the same time is reduced, the charging requirement of a user is met, and the charging cost of the user is reduced.
本发明属于充电桩控制系统领域,尤其为一种结合多目标粒子群算法的充电桩充电控制系统及装置,包括如下步骤:步骤1,信息采集:获取电动汽车信息,充电桩信息以及电网信息;步骤2,智能运算:结合充电桩的工作状态、用户的历史充电记录和充电需求得到电动汽车的充电方案。本发明提出一种结合电动汽车相关充电信息、用户充电要求信息、充电桩工作状态、区域配电网负荷状态等信息的充电桩充电控制系统与装置,在满足用户预定的条件下制定有序充电策略,对每个电动汽车进行不同的充电时间、充电方式的安排,解决了在充电高峰期区域电网负荷过载的问题,减少大量电动汽车同时充电的情况的同时满足用户的充电要求,并减小用户的充电花销。
Charging pile charging control system and device combined with multi-target particle swarm algorithm
一种结合多目标粒子群算法的充电桩充电控制系统及装置
2024-05-14
Patent
Elektronische Ressource
Chinesisch
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