Cloud-edge Collaboration Based Hierarchical Dispatch Technology for EV Participating in Frequency Regulation Service

被引：0

作者：

Chen W. ^{[1
]}

Sun H. ^{[1
]}

Xu R. ^{[2
]}

Zhan H. ^{[2
]}

Che Q. ^{[3
]}

Liu S. ^{[3
]}

Ma J. ^{[1
]}

机构：

[1] State Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Hubei Province, Wuhan

[2] Chongqing Electric Power Research Institute, Yubei District, Chongqing

[3] State Grid Chongqing Electric Power Corporation, Yuzhong District, Chongqing

来源：

Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering | 2023年 / 43卷 / 03期

关键词：

Cloud-edge collaboration; electric vehicle; frequency regulation; long short term memory network;

D O I：

10.13334/j.0258-8013.pcsee.220646

中图分类号：

学科分类号：

摘要：

Electric vehicles (EVs) as typical flexible loads are promising to provide frequency regulation service. However, affected by the distributed connection mode, the uncertainty of plug-in duration and the charging demand of customers, it is difficult for dispatching center to utilize EVs' capability directly. To achieve the participation of EVs into frequency regulation service, aggregators are required to declare the frequency regulation capability before the service period and respond to the frequency regulation command rapidly during the service period. In view of these practical problems, this paper presents a technical framework for large-scale EVs participating in frequency regulation service based on cloud-edge collaboration, clarifying the functional and interactive requirement of multilevel equipment. Based on the hierarchical dispatching structure, this paper proposes the dispatch and control method for large-scale EVs. Rolling assessment and hierarchical aggregation of EV's frequency regulation capability are executed in real time, considering the charging demand. Ahead of service period, frequency regulation capability is predicted using long short term memory network (LSTM) method to help aggregators declare in market. During service period, dispatching command is decomposed hierarchically and rapidly according to amended EV's capability. Finally, these proposed methods are verified through simulation analysis. ©2023 Chin.Soc.for Elec.Eng.

引用

页码：914 / 926

页数：12

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