沈鑫, 严松, 李妍. 考虑交通流量的电动汽车充电站优化规划方法[J]. 智慧电力, 2023, 51(7): 74-79.
引用本文: 沈鑫, 严松, 李妍. 考虑交通流量的电动汽车充电站优化规划方法[J]. 智慧电力, 2023, 51(7): 74-79.
SHEN Xin, YAN Song, LI Yan. Optimal Planning Method of Electric Vehicle Charging Station Considering Traffic Flow[J]. Smart Power, 2023, 51(7): 74-79.
Citation: SHEN Xin, YAN Song, LI Yan. Optimal Planning Method of Electric Vehicle Charging Station Considering Traffic Flow[J]. Smart Power, 2023, 51(7): 74-79.

考虑交通流量的电动汽车充电站优化规划方法

Optimal Planning Method of Electric Vehicle Charging Station Considering Traffic Flow

  • 摘要: 城市电动汽车保有量快速增长使充电站优化规划问题日益受到配电网规划领域的广泛关注。综合考虑城市交通流量空间分布特征与配电网络运行约束,提出了一种基于交通流量空间分布的公共充电站优化规划方法。首先建立城市交通流量分布单元模型,构建城市交通流量样本空间,用局部流量密度分析充电站服务范围内交通流量,用分布间距分析总体布局均衡性。然后以每个充电站周围具有较大交通流量密度、充电站站点分布均衡同时最优构建目标函数,结合城市交通流量分布和电动汽车保有量分析充电容量约束,基于充电容量分析电网运行潮流和电压偏移约束,采用聚类算法搜索发现局部流量密度和分布间距峰值,进行优化迭代,实现考虑交通流量的电动汽车充电站优化规划。最后以某规划区域为例,证明了该方法可为电动汽车充电站的优化规划提供依据。

     

    Abstract: With the rapid growth of urban electric vehicle,the optimal planning of charging station has increasingly attracted widespread attention in the field of distribution network planning. The spatial distribution characteristics of urban traffic flow and operational constraints of distribution network are comprehensively considered,and public charging station optimization planning method is proposed based on the spatial distribution of traffic flow. Firstly,the unit model for urban traffic flow distribution is set up and sample space for urban traffic flow is constructed. Local traffic density is used to analyze the traffic flow within the service range of charging stations,distribution spacing is used to analyze the overall layout balance. Then,an objective function is constructed with the optimization of large traffic flow density around each charging station and balanced distribution of charging station stations. Combined with the analysis of urban traffic flow distribution and electric vehicle ownership,the charging capacity constraints are analyzed. Based on the charging capacity,the power grid operation flow and voltage offset constraints are analyzed. Clustering algorithm is used to search for local flow density and distribution spacing peaks,and optimization iteration is carried out to achieve the optimization planning of electric vehicle charging stations considering traffic flow. Finally,taking a planned area as an example,the effectiveness of this method is verified. It is proved that the method can provide a basis for the optimization planning of electric vehicle charging stations.

     

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