Cloud-edge Intelligence: Status Quo and Future Prospective of Edge Computing Approaches and Applications in Power System Operation and Control

被引：0
作者：
Bai Y.-Y. [1 ]
Huang Y.-H. [2 ]
Chen S.-Y. [1 ]
Zhang J. [1 ,3 ]
Li B.-Q. [2 ]
Wang F.-Y. [3 ]
机构：
[1] School of Electrical Engineering and Automation, Wuhan University, Wuhan
[2] China Electric Power Research Institute, Beijing
[3] State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing
来源：
Zidonghua Xuebao/Acta Automatica Sinica | 2020年 / 46卷 / 03期
关键词：
Cloud computing; Cloud-edge coordination; Edge computing; Edge intelligence; Power system operation and control;
D O I：
10.16383/j.aas.2020.y000001
中图分类号：
学科分类号：
摘要：
In this paper, the current challenges faced by China's power grid are analyzed, and the corresponding developmental background and key techniques of edge computing are introduced, including the functionalities and features of cloud-edge coordination and edge-edge coordination. Then, edge intelligence resulted from edge coordination is discussed. Considering the hierarchical architecture of power grids, the deployment of edge computing layer for power grid operation and control is illustrated in details. Through reducing communication data volume among edge nodes and the cloud center, the edge computing architecture and corresponding coordination mechanism aims to improve real-time performance of complex grid tasks, bring distributed intelligence to the system, while protecting data privacy of the edge nodes. Finally, the application paradigms of edge computing are summarized, and its future developmental directions in the power system operation and control are prospected. Copyright © 2020 Acta Automatica Sinica. All rights reserved.
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收藏
页码：397 / 410
页数：13
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