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Coordinate scheduling of electric vehicles in charging stations supported by microgrids

机译：微电网支持充电站电动车辆的坐标调度

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摘要

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 twostage 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.
机译：当可再生能源（RES）生成和利用同时发生时，可以降低能量存储成本，并且可以减少由RES网格连接引起的电压振荡和系统不稳定。因此，本文构建了一种微电网模型，包括EVS，定义EVS的充电和放电容量（CDC），并利用EVS的灵活性和调度性来克服RE的间歇性和挥发性。通过使用Monte Carlo方法，本文建立了EV驾驶模型，提出了一种突变过程，即第一级是EV准入机制（EAM），第二阶段是EV调度机制（ESM），适应RE的不确定性，最大​​限度地提高能源利用和EV用户满意度（充电成功率）。通过与自然充电（NC）策略的比较，表明所提出的两级过程有效地克服了RE的间歇性和挥发性，并且能够稳定地运行MicroGrids支持的充电站（CSS）中的EV。

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