高润天,罗李子,韩少华,王城煌,庞吉年
GAO Runtian,LUO Lizi,HAN Shaohua,WANG Chenghuang,PANG Jinian

• 1:南京理工大学自动化学院
• 2:国网江苏省电力有限公司宿迁供电分公司

摘要(Abstract)：

当前大规模电动汽车的行驶与充电行为加强了电网与交通网的交互联系，因此提出一种电力-交通混合约束下电动汽车充电行为时空引导方法。建立了计及交通道路网络拓扑、道路阻抗函数关系的路-电耦合模型；运用Dijkstra算法确定备选行驶路径，考虑排队时长和通行时长建立电动汽车充电行为引导模型，深入分析交通-电网混合约束下配电网快充负荷接纳能力，以用户、电网综合成本最小为目标引导用户选择快速充电站；以某市部分主城区为例，对200辆具有快充需求的电动汽车进行仿真。结果表明，所提充电引导策略能够在节约用户时间的同时，提高快速充电站的运营效率，保证配电网的运行安全。
The increasing travel and charging behaviors of large-scale electric vehicles(EVs) have strengthened the interactive connections between power grids and transportation networks. To address this, this paper proposes a spatiotemporal guidance method for EV charging behaviors under coupled power-transportation network constraints. A road-power coupling model that incorporates transportation network topology and road impedance function. By using Dijkstra's algorithm to determine alternative travel routes, an EV charging behavior guidance model that incorporates both queuing time and travel duration is developed. The model thoroughly analyzes the fast-charging load hosting capacity of distribution networks under coupled power-transportation network constraints, guiding users to select fast-charging stations with the objective of minimizing combined costs for both users and the power grid. Simulations of 200 fast-charging EVs in an urban district demonstrate that the proposed charging guidance strategy can save users' time while improving the operational efficiency of fast-charging stations and ensuring the operational security of the distribution networks.

关键词(KeyWords)： 电力-交通混合约束;电动汽车;充电行为时空引导;混合整数二阶锥规划
coupled power-transportation network constraints;EV;spatiotemporal charging behavior guidance;MISOCP

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金(52007082);; 江苏省青年科技人才托举工程(JSTJ-2024-179)

作者(Author): 高润天,罗李子,韩少华,王城煌,庞吉年
GAO Runtian,LUO Lizi,HAN Shaohua,WANG Chenghuang,PANG Jinian

DOI: 10.19585/j.zjdl.202508003

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