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Integrating Power Systems, Transport Systems and Vehicle Technology for Electric Mobility Impact Assessment and Efficient Control

机译:集成电力系统,运输系统和车辆技术,以进行电动势影响评估和有效控制

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摘要

Electric mobility is considered as a promising option for future individual transportation in terms of lower ${rm CO}_{2}$-emissions and reduced dependence on fossil fuels. In order to analyze its impacts effectively, an agent based model is proposed. It integrates three domains which are mainly affected by electric mobility. Vehicle fleet evolution and vehicle energy demand simulations are combined with a transportation simulation, thus determining the daily behavior of electric vehicles and providing individual battery energy levels at the different locations of the vehicles during the day. Further, a power system model combined with a charging control algorithm is included in order to study general effects in electricity networks and to provide insights into new electric vehicle load patterns, as well as into changes in transport behavior. It is shown that network congestion can be mitigated using control signals. The paper describes the method and the integration of the three different domains and shows results of the integrated analysis tool.
机译:考虑到较低的$ {rm CO} _ {2} $排放量和对化石燃料的依赖性降低,电动汽车被认为是未来个人运输的有前途的选择。为了有效地分析其影响,提出了一种基于Agent的模型。它集成了三个主要受电动迁移影响的领域。车队发展和车辆能源需求模拟与交通运输模拟相结合,从而确定了电动汽车的日常行为,并在白天提供了车辆不同位置的电池能量水平。此外,还包括结合了充电控制算法的电力系统模型,以研究电网中的一般影响,并提供有关新的电动汽车负载模式以及运输行为变化的见解。结果表明,使用控制信号可以缓解网络拥塞。本文介绍了这三个领域的方法和集成,并展示了集成分析工具的结果。

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