自感知能源互联网研究展望

随着物联网与能源网的深度融合,能源互联网与社会(人)、环境、经济和交通能随时随地进行信息交互和共享。与此同时,物联网集成了边缘计算和云计算等计算架构模型、大数据技术以及人工智能等技术,使得数据建模和分析更加智能、高效和可靠。因此,在物联网的背景下,讨论具有自感知能力的能源生态系统的条件已相对成熟。文中依托物联网,构建了自感知能源互联网。首先,依据心理学中自感知的概念,探讨了自感知能源互联网的基本内涵。其次,阐述了物联网在构建自感知能源互联网中的重要作用。进一步,重点从数据驱动角度,构建了自感知能源互联网的信息交互模型和信息处理模型。最后,总结了自感知能源互联网的关键问题,从不同角度给出了自感知能源互联网的主要研究方向。

Prospect of Research on Self-aware Energy Internet

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.