发表机构
Hubei University of Automotive Technology; McNeese State University（湖北汽车工业学院; 麦克尼斯州立大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本研究提出一个多周期协同规划框架，显式建模电动汽车采用动态为决策相关不确定性，评估支持V2G的快速充电站经济性，通过聚合虚拟电池模型和混合整数规划，实现优越社会福利并缓解配电网拥堵。
AI 中文摘要
建设快速充电站（FCSs）对于交通电气化至关重要，但存在一种间接网络效应：虽然电动汽车（EV）数量的增加决定了FCS的容量扩展，但这些设施的物理位置又强烈影响司机采用电动汽车的意愿。忽视这种相互作用可能导致不良的资本投资，并在潮汐交通高峰期间加剧电网脆弱性。因此，我们明确地将电动汽车采用动态建模为决策相关不确定性（DDUs），并纳入一个新的多周期协同规划框架中。该框架评估了支持V2G的FCS在交通和配电网络中的经济可行性。为简化复杂计算，我们引入一个聚合车队虚拟电池模型来捕捉宏观车辆到电网（V2G）灵活性，这成功规避了跟踪微观荷电状态固有的维度灾难。为进一步保证计算速度，通过使用特殊有序集类型2（SOS2）变量和用于电网限制的二阶锥规划（SOCP）松弛，将非线性基础设施暴露转化为混合整数规划。最后，在耦合的Sioux Falls和IEEE 33节点测试平台上的数值研究证明，我们的框架实现了优越的预期社会福利。此外，宏观V2G聚合因其缓解配电网拥堵惩罚的能力而受到强调。
英文摘要
Building fast charging stations (FCSs) is crucial for transportation electrification, but there exists an indirect network effect: while the increasing number of electric vehicles (EVs) decides the FCS capacity expansion, the spatial locations of these facilities strongly influence drivers' willingness to adopt EVs. Ignoring this interaction can lead to bad capital investments and exacerbate power grid vulnerabilities during tidal traffic peaks. Therefore, we explicitly model the EV adoption dynamics as decision-dependent uncertainties (DDUs) in a new multi-period collaborative planning framework. This framework evaluates the economic viability of V2G-enabled FCSs across both transportation and distribution networks. To simplify the complex calculation, we introduce an aggregated fleet virtual battery model to catch macroscopic vehicle-to-grid (V2G) flexibility. This successfully circumvents the dimension curse inherent in tracking microscopic state-of-charge. To further guarantee calculation speed, the nonlinear infrastructure exposure is transformed into a mixed-integer program by using Special Ordered Set type 2 (SOS2) variables and Second-Order Cone Programming (SOCP) relaxations for grid limits. Finally, numerical studies on a coupled Sioux Falls and IEEE 33-bus testbed prove that our framework achieves superior expected social welfare. Also, macroscopic V2G aggregation is highlighted for its capability to mitigate distribution grid congestion penalties.
Comments8 pages, 2 figures. Accepted for publication in the 2026 International Conference of Electric, Electronic and Networked Energy Systems
