An optimal regional time-of-use charging price model for electric vehicles

被引：0

作者：

Chen, Jiejun ^{[1
]}

Yang, Jun ^{[1
]}

Zhu, Jie ^{[2
]}

Li, Xianglong ^{[2
]}

Zeng, Shuang ^{[2
]}

Li, Yixin ^{[1
]}

Wang, Xinpu ^{[3
]}

Tang, Yufei ^{[4
]}

机构：

[1] Wuhan Univ, Sch Elect Engn, Wuhan 430072, Hubei, Peoples R China

[2] China Elect Power Res Inst, Beijing 100192, Peoples R China

[3] State Grid Jiangsu Elect Power Maintenance Branch, Nanjing 214101, Jiangsu, Peoples R China

[4] Univ Rhode Isl, Dept Elect Comp & Biomed Engn, Kingston, RI 02881 USA

来源：

2017 IEEE POWER & ENERGY SOCIETY GENERAL MEETING | 2017年

基金：

美国国家科学基金会;

关键词：

electric vehicles; regional peak-valley time-of-use price model; charging optimization; membership function; GENETIC ALGORITHM; OPTIMIZATION; SIGNALS;

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：

Disorderly charging performances of miraculous electric vehicles (EVs) will bring challenges to security and economy of power system, while the development of the electric power market also contributes to the discussion of price incentive mechanism. Therefore, this paper proposes an optimal regional time-of-use (RTOU) charging price model for electric vehicles. By dividing typical urban zone into four zones, the time-period division of RTOU price is studied by the method of membership function. Subsequently, the performance of user response is analyzed by the elastic coefficient method considering the electricity prices among regions. Finally, minimizing the peak valley difference and charging cost, a model of optimal RTOU electricity price for EVs is established to obtain the peak and valley price settings. The simulation results verify the effectiveness of the proposed regional time-of-use charging price model. Also, EVs can be coordinated in both temporal and spatial domains.

引用

页数：5

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