Adjustable Potential Estimation of Electrical Vehicle Aggregation Considering Demand Response

被引：0

作者：

Zong, Xi ^{[1
]}

Wang, Xiuru ^{[2
]}

Han, Shaohua ^{[2
]}

Luo, Lizi ^{[1
]}

Long, Huan ^{[3
]}

Wang, Chenghuang ^{[1
]}

机构：

[1] Nanjing Univ Sci & Technol, Sch Automat, Nanjing, Peoples R China

[2] State Grid Jiangsu Elect Power Co Ltd, SuQian Power Supply Co, Suqian, Peoples R China

[3] Southeast Univ, Sch Elect Engn, Nanjing, Peoples R China

来源：

2024 4TH POWER SYSTEM AND GREEN ENERGY CONFERENCE, PSGEC 2024 | 2024年

关键词：

electric vehicle load; demand response; aggregation model; fuzzy system; adjustable potential;

D O I：

10.1109/PSGEC62376.2024.10721147

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

With the proposal of double carbon goal in China, it is inevitable that vast new energy with adjustable flexibility are connected to the power grid. However, the inherent randomness and volatility of new energy also bring great challenges to the real-time power dynamic balance and operation of the power grid. As a typical representative of flexible load, it is of great significance to accurately evaluate the adjustable potential of electric vehicle (EV). Therefore, this paper proposes an assessment method of the adjustable potential of EV aggregation taking demand response into account. Firstly, the travel rules and operation characteristics of EVs are studied. Secondly, considering the factors such as state of charge, adjustment amount and electricity price, a quantitative demand response model of EVs is established based on Takagi-Sugeno-Kang fuzzy method, and the adjustable potential of EVs is evaluated. Finally, the validity and rationality of the model is verified by the simulation analysis of the dynamic vehicle data in Wuxi.

引用

页码：1183 / 1187

页数：5

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