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Evaluating the Vehicle-to-grid Potentials by Electric Vehicles: A Quantitative Study in China by 2030

机译:通过电动汽车评估车辆到电网电位:2030年中国的定量研究

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This paper investigates to what extent the charging demand of electric vehicles (EVs) can be scheduled in China by 2030. A general framework is proposed to this evaluation with different vehicle-to-grid (V2G) modes. Multiple characteristics from users, EVs, and charging equipment, are explored based on real-world data in China. A case with SO million EVs shows that about 7.7% of the electricity consumption of China by 2030 will be contributed by electrification of road transportation. Uncoordinated charging may raise the peak load by 12% to 1,345 GW, comparing with no EVs. With the objective of load flattening, the peak load decreases to 1,236 GW and 1,210 GW by unidirectional V2G and bidirectional V2G, respectively. The valley to peak ratio of these cases rises from 0.815 to 0.923 and 0.967, respectively. Quantitatively evaluating the theoretical V2G potentials helps to assess the value of deploying EVs and V2G for the power system.
机译:本文调查了电动汽车(EVS)的收费需求在多大程度上,到2030年。提出了一种用不同的车辆到网格(V2G)模式评估的一般框架。根据中国的真实数据,探索了用户,EVS和充电设备的多种特征。 000百万eV的案例表明,大约7.7%的中国电力消耗到2030年将受到公路交通的电气化的贡献。不协调的充电可以将峰值负荷提高12%至1,345 GW,与没有EVS相比。随着负荷平整的目的,峰值负荷分别通过单向V2G和双向V2G减小到1,236 GW和1,210 GW。这些病例的峰值比率分别从0.815升至0.923和0.967。定量评估理论V2G电位有助于评估部署EVS和V2G的功率系统的值。

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