首页|基于用电负荷和客户侧需求多维数据融合的区域新能源充电桩加装布局优化方法

基于用电负荷和客户侧需求多维数据融合的区域新能源充电桩加装布局优化方法

扫码查看
由于忽略了多维数据权重的计算,充电桩加装布局导致总排队时间较长,对此,提出用电负荷和客户侧需求多维数据融合下的区域新能源充电桩加装布局优化方法.计算新能源充电桩用电负荷,并对区域充电桩加装需求量的客户侧需求进行分析,将两类型的多维数据进行融合,建立充电桩加装布局优化模型;计算多维数据,对权重进行优化,得到区域新能源充电桩加装布局优化结果.实验结果表明,所提方法应用后的总排队时间较短,均值为9.86 min,优化效果较好,满足新能源汽车的现实充电需求.
Optimization Method for Regional New Energy Charging Pile Installation Layout Based on Multi-dimensional Data Fusion of Electricity Load and Customer Demand
Due to neglecting the calculation of multi-dimensional data weight,the total queuing time of charging pile installation layout is long.Therefore,an optimization method for the layout of regional new energy charging pile installation is proposed based on the fusion of multi-dimensional data of electricity load and customer demand.The electricity load of new energy char-ging piles is calculated and the customer demand for regional charging pile installation is analyzed.Integrating the two types of multi-dimensional data,an optimization model for charging pile installation layout is established.The multi-dimensional data is calculated,the weight is optimized,and the optimization results for regional new energy charging pile installation layout is ob-tained.The experimental results show that the total queuing time after application of the proposed method is shorter,with an average value of 9.86 min,and the optimization effect is better,which can meet the actual charging demand of new energy vehi-cles.

new energy charging pilelayout of charging pile installationelectricity loadcustomer demand multi-dimensional data fusionlayout optimization

杨宁、来聪、庄文婷、李源、王舒颦

展开 >

国网浙江省电力有限公司杭州供电公司,浙江,杭州 310000

新能源充电桩 充电桩加装布局 用电负荷 客户侧需求多维数据融合 布局优化

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(9)