Orderly automatic real-time charging scheduling scenario strategy for electric vehicles considering renewable energy consumption

被引:10
|
作者
Zhang, Guoyu [1 ]
Dai, Mian [1 ]
Zhao, Shuai [1 ]
Zhu, Xianglei [1 ]
机构
[1] CATARC ADC, Intelligent Business Dept, Tianjin, Peoples R China
关键词
Smart transportation; Renewable energy consumption; Electric vehicles; Real-time charging scheduling; ROUTING PROBLEM;
D O I
10.1016/j.egyr.2022.11.164
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The ORTCS (Orderly Real-time Charging Scheduling) strategy for collaborative optimization of electric vehicles and renewable energy output is proposed, which is considering the flexibility of charge and discharge in the intelligent transportation field. The strategy aims to maximize the consumption of renewable energy as while as minimize the waiting time and expense of car users. An EV (electric vehicle) once entering the charging station and being connected to the power system, the organized planning of charge and discharge is evaluated based on its initial battery SOC (State of Charge), so as to obtain the real-time schedulability level from the whole charging station point of view. According to the dispatching level and the output of renewable energy in the station's power system, the optimal plan is made for each connecting EV. (c) 2022 The Author(s). Published by Elsevier Ltd. This is an open access article under the CCBY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
引用
收藏
页码:72 / 84
页数:13
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