The traffic and user have significant impacts on the electric vehicle (EV) charging load but are not considered in the existing research. We propose a novel integrated simulation framework considering the traffic, the user, and power grid as well as the EV traveling, parking and charging based on cellular automaton (CA). The traffic is modeled by the traffic module of the proposed framework based on CA, while the power grid and user are modeled in the EV charging module. The traffic flow, user's charging preference, user's charging satisfaction, and the total supply capability (TSC) in the surveyed region are considered in the proposed framework. Two cases are carried out to show the interactions between the user and power grid. It is shown that the proposed framework can accurately simulate the interactions among traffic situation, user's behavior and TSC, which are significantly lacking in the existing research. The proposed framework is scalable in considering additional interrelated elements.

中文翻译：

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考虑交通，用户和电网的电动汽车充电仿真框架

交通和用户对电动汽车（EV）的充电负荷有重大影响，但现有研究并未考虑这些因素。我们提出了一种新颖的综合仿真框架，该模型考虑了交通，用户和电网以及基于蜂窝自动机（CA）的电动汽车行驶，停车和充电情况。流量由所提出的基于CA的框架的流量模块建模，而电网和用户则在EV充电模块中建模。在建议的框架中考虑了交通流量，用户的充电偏好，用户的充电满意度以及被调查区域的总供应能力（TSC）。进行了两种情况以显示用户与电网之间的交互。结果表明，所提出的框架能够准确模拟交通状况之间的相互作用，用户的行为和TSC，这在现有研究中是非常缺乏的。所提出的框架在考虑其他相互关联的元素方面是可扩展的。