Two-Level Optimal Scheduling Strategy of Electric Vehicle Charging Aggregator Based on Charging Urgency

被引：1

作者：

Zhang, Yuanxing ^{[1
]}

Yang, Xingang ^{[2
]}

Li, Bin ^{[1
]}

Cao, Boyuan ^{[2
]}

Li, Taoyong ^{[1
]}

Zhao, Xuan ^{[1
]}

机构：

[1] China Elect Power Res Inst Co LTD, Beijing EV Charging & Battery Swapping Engn Techn, Beijing, Peoples R China

[2] State Grid Shanghai Elect Power Co, Shanghai, Peoples R China

来源：

2022 4TH INTERNATIONAL CONFERENCE ON SMART POWER & INTERNET ENERGY SYSTEMS, SPIES | 2022年

关键词：

electric vehicle; charging aggregator; optimal scheduling strategy;

D O I：

10.1109/SPIES55999.2022.10082570

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Aiming at the demand response of power grid load scheduling, the role of the charging load aggregator is becoming more and more important. A two-level optimal scheduling strategy of electric vehicle charging aggregator is proposed based on the urgency of charging. Firstly, the electric vehicles are divided into different levels based on the charging urgency of electric vehicle, and the scheduling needs of peak shaving and valley filling and new energy consumption are determined; secondly, a two-level optimal scheduling strategy of electric vehicle charging aggregator based on charging urgency is proposed; finally, the effectiveness of the strategy is verified by numerical example simulation. The results show that the two-layer optimal scheduling model can fulfill the scheduling requirements of three scenarios of peak shaving, valley filling and new energy consumption, achieving the scheduling objectives effectively and no deviation.

引用

页码：1755 / 1760

页数：6

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