ANALYSIS OF CONTROLLABLE CAPACITY FOR ELECTRIC VEHICLE BATTERY SWAPPING STATIONS

被引：0
|
作者：
Xie, Pingping [1 ]
Zhu, Jizhong [1 ]
Xuan, Peizheng [1 ]
机构：
[1] China Southern Power Grid, Elect Power Res Inst, Guangzhou 510663, Guangdong, Peoples R China
来源：
JOURNAL OF ENGINEERING-JOE | 2018年
关键词：
electric vehicle; battery swapping station; Monte-Carlo simulation; queueing theory; controllable capacity;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Battery swapping is an effective way for the energy fast recharge of electric vehicles (EVs). The batteries stored in the battery swapping stations (BSSs) might be an emerging form of energy storage that can be used in the future power systems. Unlike traditional battery storage, the application of BSSs storage needs to consider the behaviour of EV users and the charging process in the BSSs. The calculation of controllable capacity plays a key role in the application of BSSs storage. This paper proposes a Monte-Carlo stochastic simulation method (MCSS) to estimate the controllable capacity of BSSs. The queuing problems in EV batteries swapping are simulated by the proposed MCSS method. The controllable capacity then can be obtained from the queues analysis. Simulation results demonstrate the availability of the proposed method.
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页数：5
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