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Congestion Management in LV Grids Using Static and Dynamic EV Smart Charging

机译:使用静态和动态EV智能充电的低压电网拥堵管理

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In recent years, the adoption of electric vehicle has increased steadily, posing substantial problems in the low voltage grid. Among these problems are grid congestion and voltage instability. This study proposes a dynamic smart charging strategy based on a constant impedance load flow model, in which the optimal electric vehicle charging power is based on the available grid capacity. The dynamic charging profile is compared to a static charging profile and business as usual charging in a case study on a representative low voltage grid. Simulations are made with projections for electric vehicle charging, residential electricity demand and photovoltaic generation for 2018, 2030 and 2050. The results of the case study show that no grid congestion occurs in the 2018 scenario, and little in the 2030 scenario, meaning that the current grid infrastructure is well- suited for the electric vehicle charging demand and that the business as usual and static smart charging profiles result in an underutilization of the grid capacity. Grid congestion occurs substantially more frequently in the 2050 scenario, but the dynamic smart charging profile results in a greater utilization of the grid capacity compared to the alternatives.
机译:近年来,电动汽车的采用稳步增长,在低压电网中构成了实质性的问题。这些问题包括电网拥塞和电压不稳定。这项研究提出了一种基于恒定阻抗潮流模型的动态智能充电策略,其中最优的电动汽车充电功率基于可用的电网容量。在有代表性的低压电网的案例研究中,将动态充电曲线与静态充电曲线进行比较,并照常进行充电。通过对2018年,2030年和2050年的电动汽车充电,住宅用电需求和光伏发电的预测进行仿真。案例研究的结果表明,在2018年的情景中不会发生电网拥挤,而在2030年的情景中则不会发生电网拥挤,这意味着当前的网格基础设施非常适合电动汽车的充电需求,并且照常营业和静态智能充电配置文件会导致对电网容量的利用不足。在2050年的情景中,电网拥塞的发生率更加频繁,但是与其他替代方案相比,动态智能充电配置文件导致电网容量的利用率更高。

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