Prospect of Research on Self-aware Energy Internet

被引：0
作者：
Gao S. [1 ]
Gao F. [1 ]
Liu Y. [1 ]
Zang T. [2 ]
Huang T. [3 ]
Chen K. [4 ]
机构：
[1] School of Electrical Engineering, Southwest Jiaotong University, Chengdu
[2] College of Electrical Engineering, Sichuan University, Chengdu
[3] Department of Energy, Politecnico di Torino, Torino
[4] School of Electrical and Power Engineering, China University of Mining and Technology, Xuzhou
来源：
Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2021年 / 45卷 / 05期
基金：
中国国家自然科学基金;
关键词：
Collaborative optimization; Energy management; Information interaction; Information processing; Information security; Internet of Things; Resilience evaluation; Self-aware Energy Internet;
D O I：
10.7500/AEPS20200426009
中图分类号：
学科分类号：
摘要：
With the deep integration of the Internet of Things (IoT) and energy networks, information interaction and sharing between the Energy Internet and society, people, environment, economy and traffic can be achieved at anytime and anywhere. Moreover, different computing architecture models, i.e., edge computing, cloud computing, big data and artificial intelligence technologies are integrated into IoT, which makes data modeling and analysis more intelligent, more efficient and more reliable. Therefore, under the circumstances of IoT, it is relatively mature to discuss the energy ecosystem which possesses self-awareness ability. This paper constructs a self-aware Energy Internet based on IoT. Firstly, according to the concept of the self-awareness in psychology, the meaning of the self-aware Energy Internet is explored. Secondly, the importance of IoT in the construction of the self-aware Energy Internet is elaborated. Thirdly, the information interaction model and the information processing model of self-aware Energy Internet are constructed, especially from the perspective of data-driven. Finally, some critical issues of the self-aware Energy Internet are concluded, and then the main research topics are given from different aspects. © 2021 Automation of Electric Power Systems Press.
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页码：1 / 17
页数：16
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