面向能源互联网的云边协同技术研究
The Research of Cloud-Edge Collaboration Technique for Energy Internet
DOI: 10.12677/CSA.2021.115146, PDF,    国家科技经费支持
作者: 明阳阳：清华大学自动化系，北京;铭数科技(青岛)有限公司，山东 青岛；艾崧溥：铭数科技(青岛)有限公司，山东 青岛;北京信息科学与技术国家研究中心，北京；郑相涵：铭数科技(青岛)有限公司，山东 青岛；华昊辰：河海大学能源与电气学院，江苏 南京；曹军威：北京信息科学与技术国家研究中心，北京
关键词: 能源互联网；云边协同；规则分类；人工智能预测；处理时延；Energy Internet； Cloud-Edge Collaboration； Rule Based Classification； Artificial Intelligent Prediction； Handing Delay
摘要: 本文针对云边协同系统在能源互联网中的应用进行研究。在介绍相关研究现状的基础上，根据能源互联网的特点，讨论了云边协同能源系统构成；提出云边协同能源系统的实现方式和能源互联网云边协同算法。算法分为规则分类和人工智能预测两个阶段。同时，文章对基于云边协同的能源互联网典型业务场景进行规则阶段设计，并针对算法进行了仿真分析。在能源互联网中，云边协同系统可以在减少处理时延的同时提升系统整体性能，具有经济和技术可行性。
Abstract: This issue focuses on the study of the cloud-edge collaboration system applied in Energy Internet. Based on the introductions of related current research status and the characters of Energy Internet, this issue discusses the formation of cloud-edge collaboration in Energy Internet; and proposes the realizing means and the designing algorithm of this system. The proposed algorithm contains two stages, which are rule based classification and artificial intelligent prediction. At the same time, it designs several typical service application scenes in Energy Internet for cloud-edge collaboration in the rule regulating stage, and simulates and analyzes the cloud-edge collaboration algorithm. In Energy Internet, the cloud-edge collaboration system can reduce the handing delay and at the same time, promote the whole performance of the system, which is feasible from the economical and technique view.
文章引用：明阳阳, 艾崧溥, 郑相涵, 华昊辰, 曹军威. 面向能源互联网的云边协同技术研究[J]. 计算机科学与应用, 2021, 11(5): 1427-1435. https://doi.org/10.12677/CSA.2021.115146

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