Forecasting Energy Consumption of Electric Vehicles

H. Coban, M. Bajaj, Vojtech Blazek, F. Jurado, S. Kamel
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引用次数: 1

Abstract

To reduce exhaust emissions that contribute to climate change, many countries aim to replace internal combustion engines with electric vehicles (EVs). As this change takes place, it is important to understand the potential impacts of EVs on the distribution grid. There must be a plan for grid flexibility quickly given the additional grid costs and concerns about how these costs can be reduced. Previous estimates are based on inconsistent surveys or consist of small, non-representative samples of households with electric vehicle meters. In this study, a scaled estimation of electric vehicle home charging in Turkey is presented. Fixed effects methods are used for panel data to estimate the effects of electric vehicle adoption on electric load. The average electric vehicle increases the overall household load by 3.1 kWh per day (the majority is concentrated during the night-time hours), well below the amount assumed by network regulators. With the results implying that electric vehicles travel less than expected on electric power, the issue of how to integrate electric vehicles into the energy system is a major concern as their uncontrolled charging could adversely affect the functioning of distribution grids.
电动汽车能源消耗预测
为了减少导致气候变化的废气排放,许多国家的目标是用电动汽车(ev)取代内燃机。随着这种变化的发生,了解电动汽车对配电网的潜在影响非常重要。考虑到额外的电网成本以及如何降低这些成本,必须尽快制定电网灵活性计划。以前的估计是基于不一致的调查,或者是由使用电动汽车仪表的家庭组成的小型、不具代表性的样本。在本研究中,提出了土耳其电动汽车家庭充电的比例估计。对面板数据采用固定效应法估计电动汽车采用对电力负荷的影响。平均每辆电动汽车每天增加3.1千瓦时的家庭总负荷(大部分集中在夜间),远低于电网监管机构所假设的数量。由于结果表明电动汽车的行驶比预期的要少,因此如何将电动汽车整合到能源系统中是一个主要问题,因为它们不受控制的充电可能会对配电网的功能产生不利影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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