Coordinated Charging Strategy of Electric Vehicle Charging Station Based on Combination of Linear Power Flow and Genetic Algorithm

被引:0
|
作者
Rong, Xiaoxue [1 ]
Wang, Bo [1 ]
Shao, Chuanjun [1 ]
Yu, Guangyuan [1 ]
Wang, Yan'an [1 ]
Sun, Qiming [1 ]
Bie, Zhaohong [2 ]
机构
[1] State Grid Shandong Elect Power Co, Jinan Power Supply Co, Jinan, Peoples R China
[2] Xi An Jiao Tong Univ, Shaanxi Key Lab Smart Grid, State Key Lab Elect Insulat & Power Equipment, Xian, Peoples R China
来源
2016 IEEE PES ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC) | 2016年
关键词
coordinated charging strategy; electric vehicle; linear power flow; power network limits; INTEGRATION; STORAGE; SYSTEM;
D O I
暂无
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
To reduce the negative effects caused by electric vehicles (EVs), this paper proposes a coordinated charging strategy for batteries in EV charging station. According to the charging characteristics of EV batteries, the strategy is established to minimize the sum of squares of the substation, which could consider the number of battery chargers, EVs' needs for batteries, power limit of EV charging and switching station and substation, node voltage and so on. By combining the method of power flow Iinearization and genetic algorithm, the optimal charging starting time of each battery can be obtained quickly, which could reduce the sum of squares and P-V difference of power grid. The correctness and efficiency of the proposed strategy are validated by a EV charging and switching station as a case.
引用
收藏
页码:1772 / 1776
页数:5
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