When both the renewable energy sources (RES) generation and utilization occur simultaneously, energy storage costs can be reduced, and voltage oscillation and system instability caused by RES grid connection can be reduced. Therefore, this paper constructs a microgrid model that includes EVs, defines the charge and discharge capacity (CDC) of EVs, and uses the flexibility and dispatchability of EVs to overcome the intermittency and volatility of RES. By using the Monte Carlo method, this paper establish an EV driving model and proposes a two-stage process, that is, the first-stage is EV admission mechanism ($EAM$) and the second-stage is EV scheduling mechanism ($ESM$), to adapt to the uncertainty of RES, and maximize energy utilization and EV users satisfaction (Charging success rate). Through comparison with natural charging (NC) strategy, it is shown that the proposed two-stage process effectively overcomes the intermittency and volatility of RES and enables the stable operation of EVs in charging stations(CSs) supported by microgrids.

当可再生能源（RES）发电和利用同时发生时，可以降低储能成本，减少由可再生能源并网引起的电压振荡和系统不稳定。因此，本文构建了一个包含电动汽车的微电网模型，定义了电动汽车的充放电容量（CDC），并利用电动汽车的灵活性和可调度性来克服可再生能源的间歇性和波动性。本文利用蒙特卡罗方法建立电动汽车行驶模型，并提出了一个两阶段的过程，即第一阶段为电动汽车准入机制（$乙\mathrm{一种}米$) 第二阶段是EV调度机制($乙秒米$)，适应可再生能源的不确定性，最大​​限度地提高能源利用率和电动汽车用户满意度（充电成功率）。通过与自然充电（NC）策略的比较，表明所提出的两阶段过程有效地克服了可再生能源的间歇性和波动性，并使电动汽车在微电网支持的充电站（CS）中稳定运行。