Analysis of the simultaneity factor of fast-charging sites using Monte-Carlo simulation

被引:2
|
作者
Silber, Finn [1 ]
Scheubner, Stefan [2 ]
Maertz, Alexandra [1 ]
机构
[1] Karlsruhe Inst Technol, Inst Ind Prod, Chair Energy Econ, Hertzstr 16, D-76187 Baden Wurttemberg, Germany
[2] EnBW AG, Emobil Div, Durlacher Allee 93, D-76131 Baden Wurttemberg, Germany
关键词
Electric mobility; Charging infrastructure; Monte-Carlo simulation; Simultaneity factor; INTEGRATION; STATION; ENERGY;
D O I
10.1016/j.ijepes.2023.109540
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Given the increasing number of battery electric vehicles, the availability of suitable fast-charging infrastructure is crucial. However, designing such sites requires enough capacity in the electric power grid. A major influencing factor on the effect of fast-charging sites on the power grid is the simultaneity factor, i.e. the share of installed power related to the theoretical maximum power. The aim of this work is to investigate optimal simultaneity factors for fast-charging sites depending on various influencing factors. Real-world charging data from the biggest German operator is used in a stochastic approach via Monte-Carlo Simulation. It was found that in most cases, fast-charging sites can be designed with a simultaneity factor of 0.5 to satisfy demand. Applying this would reduce the effect on the power grid as well as reduce costs and time to build charging infrastructure. In consequence, the demand of the rising electric vehicle number can be met more efficiently.
引用
收藏
页数:8
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