Research on Smart Charging and Discharging Decision Model of Electric Vehicle Based on Energy Router

被引:0
|
作者
Qiu, Liu-qing [1 ]
Lin, Yi [1 ]
Lin, Hong-yang [1 ]
Lin, Zhang-sui [1 ]
Lin, Fen [2 ]
机构
[1] State Grid Fujian Power Econ Res Inst, Fuzhou, Fujian, Peoples R China
[2] State Grid Fujian Elect Power CO LTD, Fuzhou, Fujian, Peoples R China
来源
2017 IEEE CONFERENCE ON ENERGY INTERNET AND ENERGY SYSTEM INTEGRATION (EI2) | 2017年
关键词
energy internet; electric vehicle; energy router; charging and discharging; greedy random adaptive search algorithm;
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
As an significant element of the energy internet, the energy router can provide the technical support for electric vehicle to participate in the direct energy transaction and power demand response. In this paper, the energy trading method of electric vehicle based on energy router is proposed, three discharging modes as V2G( Vehicle-to-grid), V2H(Vehicle-to-home) and V2V(Vehicle-to-vehicle) are considered and a multi-objective optimization model of electric vehicle charging and discharging decision is established, aiming at the optimization of user benefit and the minimization of peak and valley difference rate of the power system. The model is solved by using greedy random adaptive search algorithm. Finally, a highly modernized city with electric vehicles is introduced, and the smart charging and discharging decision model of electric vehicle based on energy router is analyzed. The results demonstrate the effectiveness of the proposed model.
引用
收藏
页数:6
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