Electric vehicles (EVs) are recognized as a promising remedy for the environmental crisis and fuel shortage faced by modern metropolises. But meanwhile, with the popularization of EVs, the unordered charging of EVs will have negative impacts on both the power distribution network (DN) and the traffic network (TN). The well-scheduled EV charging/discharging behaviors could participate in the coordinated operation of TN and DN to significantly enhance the energy utilization efficiency of both networks. With an assumption that an entity like state grid capable of dispatching distributed generators and adjusting the charging prices of fast charging stations, a traffic-distribution coordination (TDC) model is proposed to minimize the travel cost of TN and the energy service cost of DN, which simultaneously considers the economic operation of DN by alternating current dynamic optimal power flow and the traffic flow assignment of TN by EVs dynamic user equilibrium, respectively. And afterward, the augmented Lagrangian alternating direction inexact Newton method is adopted to solve the TDC model. Finally, the necessity of the coordinated operation of TN and DN and the effectiveness of the TDC model are validated in an integrated system of modified Nguyen–Dupius TN and IEEE 33-bus DN.

中文翻译：

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基于 ALADIN 的配电和交通网络与电动汽车的协调运行

电动汽车 (EV) 被认为是解决现代大都市面临的环境危机和燃料短缺的有希望的补救措施。但同时，随着电动汽车的普及，电动汽车的无序充电将对配电网（DN）和交通网（TN）产生负面影响。精心安排的电动汽车充放电行为可以参与TN和DN的协调运行，显着提高两个网络的能源利用效率。假设像国家电网这样的实体能够调度分布式发电机并调整快速充电站的充电价格，提出了交通分配协调（TDC）模型，以最小化TN的出行成本和DN的能源服务成本，同时考虑了交流动态最优潮流对DN的经济运行和电动汽车动态用户均衡对TN的交通流分配。然后采用增广拉格朗日交替方向不精确牛顿法求解TDC模型。最后，在改进的 Nguyen-Dupius TN 和 IEEE 33 总线 DN 的集成系统中验证了 TN 和 DN 协调运行的必要性以及 TDC 模型的有效性。