Research on Coordinated Charging Control Strategy Load Optimization of Electric Vehicles in Residential Area

被引：0
|
作者：
Wang, Yingqiu [1 ]
Zhang, Jian [1 ]
Li, Lei [2 ]
Zhang, Jing [3 ]
Liu, Weidong [2 ]
Li, Dan [2 ]
Liu, Zhibin [4 ]
Liu, Yajing [4 ]
机构：
[1] State Grid Tianjin Elect Power Co, 15 Wujing Rd, Tianjin, District Hebei, Peoples R China
[2] State Grid Tianjin Elect Power Co, Elect Power Sci & Res Inst, 8 Haitaihuakefour Rd,Huayuan Ind Pk, Tianjin, Peoples R China
[3] China Elect Power Res Inst, Beijing Elect Vehicle Battery Charging & Replacem, 15 Xiaoying East Rd, Beijing, Qinghe, Peoples R China
[4] North China Inst Aerosp Engn, Sch Elect & Control Engn, 133 Aimin East Rd, Langfang, Peoples R China
来源：
2020 4TH INTERNATIONAL WORKSHOP ON RENEWABLE ENERGY AND DEVELOPMENT (IWRED 2020) | 2020年 / 510卷
关键词：
D O I：
10.1088/1755-1315/510/6/062030
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：
For the power utilization load encountered in the construction of electric vehicles (EVs) charging facilities in residential area, the coordinated charging control strategy for EV charging loads is studied. Based on the utilization electric load model, EV model, and distribution network information model of the residential area during the EV user using, the minimizing the fluctuation of the EV users charging cost, utilization power load and EV charging load is established. It is verified by an EV coordinated charging residential area, the sliding recursive algorithm employed can realize peak-load shifting, which can effectively reduce the effect of EV charging peak load and move the power peak to the second half of the night.
引用
收藏
页数：6
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