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考虑新能源物流货车分布及充电习惯的充电站两阶段选址方法

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以新能源物流货车的充电需求得以满足和匹配用户的充电习惯为目标,提出一种考虑新能源物流货车分布及充电习惯的充电站两阶段规划选址方法.考虑到新能源物流货车送货轨迹不确定和动态分布的特征,构建动态聚类算法将大量分散的需求点划分为多个充电需求块.基于用户充电习惯构建重心法选址模型,以更好匹配用户习惯,提升充电站位置的便捷性和合理性.在成都市范围内使用所提方法进行规划选址,结果验证了所提方法的可行性和有效性.
Method of Two-stage Site Selection for Charging Station Considering Distribution and Charging Habits of Electric Logistics Trucks
With the goal of satisfying the charging needs of electric logistics trucks and matching the charging habits of users,this paper proposes a two-stage site planning and selection method for charging stations by considering the distribution of new energy logistics trucks and charging habits of users.Considering the uncertain and dynamic distribution characteristics of elec-tric logistics truck delivery trajectory,a dynamic clustering algorithm is constructed to divide a large number of dispersed de-mand points into multiple charging demand blocks.The site selection model of the barycentric method is constructed based on the users'charging habits to meet the users'habits better and improve the convenience and rationality of the charging station.The method is used for site planning and selection within the scope of Chengdu city to verify the feasibility and effectiveness of this method.

charging stationsite selectionelectric logistics truckdynamic clusteringbarycentric method

徐小云、宋卫平、杨帆、高攀、叶鑫平

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四川中电启明星信息技术有限公司,研发中心,四川,成都 610000

充电站 选址 新能源物流货车 动态聚类 重心法

2024

微型电脑应用
上海市微型电脑应用学会

微型电脑应用

CSTPCD
影响因子:0.359
ISSN:1007-757X
年,卷(期):2024.40(7)