Stochastic modeling and optimization of Electric Vehicle autonomous photovoltaic charging Station

被引:2
|
作者
Wajdi, Ghraslia [1 ]
Amine, Kchiche [1 ]
Farouk, Kammoun [1 ]
机构
[1] Natl Sch Comp Sci, La Manouba, Tunisia
关键词
Electric Vehicle Charging; Admission Control; Scheduling Algorithm; Autonomous EV Charging Station; Renewable energy;
D O I
10.1109/GreenTech48523.2021.00043
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Electric vehicles (EV) are an environmentally friendly alternative to internal combustion engine vehicles. Despite their environmental benefits, the massive demand for electricity imposed by the expected growth of EVs could affect the safe and economical operation of the electricity grid. For this reason, solar-powered electric vehicle charging stations are viewed as a promising solution for an energy supplement to cope with the increasing number of EVs. In this paper, we consider an autonomous photovoltaic charging station and propose an admission control algorithm and a charging schedule to solve the problem of limited energy storage in the station pack and reduced space in an EV charging station. The simulation results demonstrate that the proposed admission and scheduling algorithm outperformed Short Job First (SJF) algorithm. Besides, the introduced algorithm allowed maximizing the performance of the charging station.
引用
收藏
页码:209 / 214
页数:6
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