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Research of Charging(Discharging) Orderly and Optimizing Load Curve for Electric Vehicles Based on Dynamic Electric Price and V2G

机译:基于动态电价和V2G的电动汽车充电(放电)有序优化负荷曲线研究

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Firstly, using the Monte Carlo method and simulation analysis, this paper builds models for the behaviour of electric vehicles, the conventional charging model and the fast charging model. Secondly, this paper studies the impact that the number of electric vehicles which get access to power grid has on the daily load curve. Then, the paper put forwards a dynamic pricing mechanism of electricity, and studies how this dynamic pricing mechanism guides the electric vehicles to charge orderly. Last but not the least, the paper presents a V2G mechanism. Under this mechanism, electric vehicles can charge orderly and take part in the peak shaving. Research finds that massive electric vehicles’ access to the power grid will increase the peak-valley difference of daily load curve. Dynamic pricing mechanism and V2G mechanism can effectively lead the electric vehicles to take part in peak-shaving, and optimize the daily load curve.
机译:首先,利用蒙特卡洛方法和仿真分析,建立了电动汽车行为模型,常规充电模型和快速充电模型。其次,本文研究了可接入电网的电动汽车数量对日负荷曲线的影响。然后,提出了电力的动态定价机制,研究了这种动态定价机制如何指导电动汽车有序充电。最后但并非最不重要的一点是,本文提出了一种V2G机制。在这种机制下,电动汽车可以有序充电并参与调峰。研究发现,大型电动汽车进入电网将增加每日负荷曲线的峰谷差。动态定价机制和V2G机制可以有效地引导电动汽车参与调峰,并优化日负荷曲线。

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