Optimal configuration method of electric vehicle's participating in Load Aggregator's VPP low-carbon economy

被引：5

作者：

Wang, Yong ^{[1
]}

Dou, Wenlei ^{[1
]}

Tong, Yongji ^{[1
]}

Yang, Bo ^{[2
]}

Zhu, Hongbo ^{[2
]}

Xu, Ruihong ^{[3
]}

Yan, Ning ^{[3
]}

机构：

[1] State Grid Liaoning Elect Power Supply Co Ltd, Shenyang 110006, Liaoning, Peoples R China

[2] State Grid Liaoning Elect Power Co Ltd, Inst Econ & Technol, Shenyang 110015, Peoples R China

[3] Shenyang Univ Technol, Sch Elect Engn, Shenyang 110870, Peoples R China

来源：

ENERGY REPORTS | 2023年 / 9卷

关键词：

Load aggregator; Virtual power plant; Low carbon operation; Optimization;

D O I：

10.1016/j.egyr.2023.06.046

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：

This paper aims to improve the reliability of multi-type load power supply, reduce the disorder of electric vehicle (EV) charging, and ensure the low-carbon economic operation of virtual power plant (VPP). Therefore, the optimal allocation method of low-carbon economy for VPP involving load aggregator (LA) participated by EV is proposed. First, a probabilistic model of electric load demand of a VPP is constructed, and an aggregation model of multiple types of uncertain loads is established based on the probabilistic model. Secondly, the disorder of EV charging is analyzed. Considering the time-of-use price policy, an optimization model with the maximum profit of load aggregator is established. Finally, the supply and demand matching model of VPP is established, and the minimum carbon emission and maximum net income of virtual power plant are optimized. Through simulation analysis, it is verified that this optimal configuration method can effectively improve the economics of EVLA and VPP, and ensure low-carbon operation of VPP. (c) 2023 Published by Elsevier Ltd. This is an open access article under theCCBY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

引用

页码：1093 / 1100

页数：8

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