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Electric vehicle capacity forecasting model with application to load levelling

机译:电动汽车容量预测模型及其在负荷均衡中的应用

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摘要

There are many uncertainties in forecasting the charging and discharging capacity required by electric vehicles (EVs) often as a consequence of stochastic usage and intermittent travel. In terms of large-scale EV integration in future power networks this paper develops a capacity forecasting model which considers eight particular uncertainties in three categories. Using the model, a typical application of EVs to load levelling is presented and exemplified using a UK 2020 case study. The results presented in this paper demonstrate that the proposed model is accurate for charge and discharge prediction and a feasible basis for steady-state analysis required for large-scale EV integration.
机译:通常由于随机使用和间歇行驶而导致在预测电动汽车(EV)所需的充电和放电容量方面存在许多不确定性。针对未来电网中的大规模电动汽车集成,本文开发了一种容量预测模型,该模型考虑了三个类别中的八个特定不确定性。使用该模型,通过UK 2020案例研究介绍并举例说明了电动汽车在负载均衡中的典型应用。本文提出的结果表明,该模型对于充放电预测是准确的,并且是大规模电动汽车集成所需的稳态分析的可行基础。

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