Research on Edge Cloud Collaboration Architecture and Optimization Strategy for Regional Energy Internet

被引:0
|
作者
Xiao Q. [1 ]
Li T. [1 ]
Jia H. [1 ]
Mu Y. [1 ]
Qiao J. [2 ]
Lu W. [1 ]
Pu T. [2 ]
机构
[1] Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Nankai District, Tianjin
[2] China Electric Power Research Institute, Haidian District, Beijing
来源
Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering | 2023年 / 43卷 / 06期
基金
中国国家自然科学基金;
关键词
distributed computing; edge cloud collaboration; multi-agent game; optimization calculation; regional energy internet (REI);
D O I
10.13334/j.0258-8013.pcsee.212931
中图分类号
学科分类号
摘要
The existing regional energy Internet (REI) is characterized as multi-dimension, and multi-agent operation. When the conventional centralized cloud service architecture is applied, the system is prone to high latency, cloud explosion, and other problems. To solve this issue, this paper proposes an edge-cloud collaborative architecture and its optimization strategy. First, the mathematical model of REI is established. Secondly, taking REI as the distributed edge control unit, the edge-cloud collaborative architecture is proposed, including the cloud service, edge service, and equipment layers. In each layer, the computation tasks are redistributed according to their practical workload. Next, the optimization strategies of the cloud service and edge service layers are designed individually, considering the game relationship of multi-stakeholders in the energy Internet. Finally, to improve the system restoration speed under emergencies, an emergency management method is proposed. Two multi-REI case studies verify that the proposed architecture has significant advantages in computing and emergency speed, compared with the conventional centralized cloud service architecture. In addition, the proposed optimization strategy can effectively improve the operation revenue of REIs. © 2023 Chinese Society for Electrical Engineering. All rights reserved.
引用
收藏
页码:2248 / 2262
页数:14
相关论文
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