利用数字孪生分析电动汽车对当地能源系统的影响

Daniel René Bayer, Marco Pruckner
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引用次数: 0

摘要

交通和供热部门的电气化,即所谓的部门耦合,是实现独立于化石燃料的核心要素之一。由于它高度影响电力需求,尤其是地方层面的电力需求,因此对所有部门进行综合建模和仿真是分析设计决策或复杂控制策略的有效方法。本文分析了部门耦合导致的电力需求增长,这主要是由于将电动汽车纳入城市能源系统。因此,我们利用现有本地能源系统的数字孪生系统,并通过移动性仿真模型对其进行扩展,以评估电动汽车对配电网的影响。我们的研究结果表明,电动汽车导致年耗电量大幅增加,仅家庭充电就导致耗电量增加 78%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analyzing the Impact of Electric Vehicles on Local Energy Systems using Digital Twins
The electrification of the transportation and heating sector, the so-called sector coupling, is one of the core elements to achieve independence from fossil fuels. As it highly affects the electricity demand, especially on the local level, the integrated modeling and simulation of all sectors is a promising approach for analyzing design decisions or complex control strategies. This paper analyzes the increase in electricity demand resulting from sector coupling, mainly due to integrating electric vehicles into urban energy systems. Therefore, we utilize a digital twin of an existing local energy system and extend it with a mobility simulation model to evaluate the impact of electric vehicles on the distribution grid level. Our findings indicate a significant rise in annual electricity consumption attributed to electric vehicles, with home charging alone resulting in a 78% increase. However, we demonstrate that integrating photovoltaic and battery energy storage systems can effectively mitigate this rise.
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