任权策,郭正阳,李佳丽,朱睿,章艳,李秋韵,周辰罡
REN Quance,GUO Zhengyang,LI Jiali,ZHU Rui,ZHANG Yan,LI Qiuyun,ZHOU Chengang

• 1:国网浙江省电力有限公司温州供电公司
• 2:国网浙江省电力有限公司杭州市临安区供电公司
• 3:大连理工大学电气工程学院
• 4:国网辽宁省电力有限公司经济技术研究院

摘要(Abstract)：

随着EV（电动汽车）用户的充电需求大幅增加，集成光伏与储能系统的分布式充电站与配电网的互动日益增强。为此，提出一种考虑多主体效益的光储充电站两阶段选址定容规划模型及基于IHHO（改进哈里斯鹰优化）算法和ADMM（交替方向乘子法）的两阶段模型求解框架。首先，利用ArcGIS软件提取区域路网数据，结合EV用户的出行特性构建转移概率矩阵，并通过蒙特卡洛算法对充电需求进行预测。其次，构建考虑多主体效益的光储充电站两阶段规划模型，第一阶段以用户侧为核心，建立以时间和距离成本为目标函数的选址模型，并采用IHHO算法进行求解；第二阶段则兼顾充电站侧与配电网侧的利益，分别构建以配电网成本和充电站运营成本最小化为目标函数的规划模型，并采用ADMM迭代求解。最后，通过算例仿真验证了所提模型可兼顾多方效益，有效降低系统总成本，提升配电网电压质量。
With the substantial increase in charging demand from electric vehicle(EV) users, distributed charging stations integrating with photovoltaic(PV) and energy storage systems(ESS) have become significantly interdependent with power distribution networks. To address this, a two-stage siting and sizing planning model for PV-ESS integrated charging stations considering multi-agent benefits is proposed, along with a solution framework based on the improved Harris hawks optimization(IHHO) algorithm and the alternating direction method of multipliers(ADMM). First, ArcGIS is used to extract regional road network data. A transition probability matrix is constructed based on the travel characteristics of EV users, and the charging demand is predicted using the Monte Carlo simulation. Next, a two-stage planning model for PV-ESS integrated charging stations, considering multi-agent benefits, is developed. In the first stage, a siting model focused on the user side is established, with time and distance costs as the objective function, and solved using the IHHO algorithm. The second stage balances the interests of both the charging station and the distribution network, with separate objective functions to minimize distribution network costs and charging station operating costs, solved iteratively using the ADMM algorithm. Finally, case simulations validate that the proposed model effectively balances multi-agent benefits, reduces the total system cost, and improves the voltage quality of the distribution network.

关键词(KeyWords)： 光储充电站;两阶段规划模型;多主体效益;改进哈里斯鹰算法;交替方向乘子法
PV-ESS integrated charging station;two-stage planning model;multi-agent benefits;IHHO;ADMM

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金（51607021）

作者(Author): 任权策,郭正阳,李佳丽,朱睿,章艳,李秋韵,周辰罡
REN Quance,GUO Zhengyang,LI Jiali,ZHU Rui,ZHANG Yan,LI Qiuyun,ZHOU Chengang

DOI: 10.19585/j.zjdl.202606008

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