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Probabilistic estimation of plug-in electric vehicles charging load profile

机译:插电式电动汽车充电负荷曲线的概率估计

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摘要

Plug-in electric vehicles (PEVs) are widely considered as a sustainable mode of transport by countries worldwide due to high efficiency and low or zero carbon emissions. However, PEVs will add significant additional load to the existing power distribution system and it will be a challenge to meet the new demand. In this study, probabilistic modelling has been presented to estimate the system-wide PEV charging load within domestic grids. U.S. national household travel survey data set has been utilized to quantitatively determine the mobility behaviour of PEVs.
机译:插电式电动汽车(PEV)由于效率高,碳排放低或为零而被世界各国普遍认为是一种可持续的运输方式。但是,PEV将给现有的配电系统增加大量额外的负载,而满足新的需求将是一个挑战。在这项研究中,已经提出了概率模型来估计家用电网中的全系统PEV充电负荷。美国国家家庭出行调查数据集已用于定量确定PEV的流动性。

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