论文标题
电动汽车，电台和电网操作员的分层耦合路线充电模型
Hierarchical coupled routing-charging model of electric vehicles, stations and grid operators
论文作者
论文摘要
电动汽车（电动汽车）的增长数量从减少温室气体排放和当地污染到改变交通拥堵和电力消耗的后果各种后果。更具体地说，由于电动汽车的决定，运输和电气系统的运营商的决策都是耦合的。因此，决策需要几个相互依存的操作员以及电动汽车的驾驶和充电行为的模型。在通勤情况下，建议电气系统为电气系统提出这样的模型，该通勤具有典型的三位脉结构。在模型的较低级别上，不同类型的车辆之间的拥堵游戏可以根据旅行持续时间和消费成本进行驾驶路径和充电站（或枢纽）通勤者的选择。在中层，充电服务运营商将充电价格设置为枢纽，以最大程度地提高电动汽车充电收入和电力供应成本之间的差异，这是由电气网络运营商在模型上层级别决定的，其目标是降低电网成本。使用乐观的迭代二线算法和模拟退火来解决此三重优化问题。在现实的城市网络上说明了这种三重模型对外源参数的敏感性，例如EV渗透和运输运营商的激励。
Electric Vehicles' (EVs) growing number has various consequences, from reducing greenhouse gas emissions and local pollution to altering traffic congestion and electricity consumption. More specifically, decisions of operators from both the transportation and the electrical systems are coupled due to EVs' decisions. Thus, decision-making requires a model of several interdependent operators and of EVs' both driving and charging behaviors. Such a model is suggested for the electrical system in the context of commuting, which has a typical trilevel structure. At the lower level of the model, a congestion game between different types of vehicles gives which driving paths and charging stations (or hubs) commuters choose, depending on travel duration and consumption costs. At the middle level, a Charging Service Operator sets the charging prices at the hubs to maximize the difference between EV charging revenues and electricity supplying costs, which are decided by the Electrical Network Operator at the upper level of the model, whose goal is to reduce grid costs. This trilevel optimization problem is solved using an optimistic iterative bilevel algorithm and simulated annealing. The sensitivity of this trilevel model to exogenous parameters such as the EV penetration and an incentive from a transportation operator is illustrated on realistic urban networks.
