Proposal of a load curve modeling applied to Highway EV Fast Charging Stations
Proposal of a load curve modeling applied to Highway EV Fast Charging Stations
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应用于高速公路电动汽车快速充电站的负载曲线建模提案
DOI：
10.1109/upec50034.2021.9548220
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发表时间：
2021
期刊：
影响因子：
--
通讯作者：
Cristian H. Correa
中科院分区：
文献类型：
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作者：
L. D. da Silva;Alzenira A. Abaide;J. Sausen;Joelson Lopes da Paixão;Cristian H. Correa
电动汽车普及的最大挑战之一是确保长距离行驶的条件，主要受到电池续航能力和充电事件对总行驶时间的影响。因此，开发适用于高速公路的快速充电站（FCS）基础设施至关重要。充电时间的减少意味着充电功率的增加。此外，FCS的负载曲线形状受用户模式的影响很大，具有随机行为。目前正在开展许多研究，以根据电动汽车普及率的增长来评估 FCS 对电力系统的影响。通过创新技术和这些应用程序的小样本，开发生成 FCS 场景的工具非常重要。本文提出了FCS负载曲线建模的建议，该模型基于确定性模型的混合过程，以估计流量和FCS操作，以及基于蒙特卡罗模拟的随机模型，以确定充电时间长度和FCS进入率等方面。该模型应用于基于巴西高速公路的案例研究。获得的负载曲线表明场景和输入之间的兼容性，以及静态 FCS 基础设施因电动汽车市场份额的增加而快速饱和。
One of the greatest challenges of EV penetration is to ensure conditions of large distances travel, mainly by the battery range capabilities and the impact of charging events in the total travel time. For these reasons, it is fundamental to develop fast-charging station (FCS) infrastructures applied to highways. The decrease in charging times implies an increase in charging power. Moreover, the load curve shape of FCS is highly impacted by user's patterns, with a stochastic behavior. Many studies are being developed to evaluate the impact of FCS on Power Systems, based on the EV penetration increase. By the innovative technology and a small sampling of these applications yet, the development of tools to generate FCS scenarios is important. This paper shows a proposal of FCS load curve modeling, based in a mixed process of a deterministic model, to estimate the traffic and the FCS operation, and a stochastic model, based on a Monte Carlo simulation, to determine aspects as charging time length and FCS entry rate. The model was applied in a case study, based on a Brazilian highway. The load curves obtained indicate compatibility between scenarios and inputs, and the fast saturation of a static FCS infrastructure by the increase of EV market share.