摘要
随着电力物联网规模的不断扩大和部署在电力系统各环节的设备数量的快速增加,海量边缘设备所产生的数据呈指数级爆炸增长。海量边缘数据的高效、快速和安全处理与分析给传统的云计算智能技术带来极大挑战,而边云协同智能技术因节省带宽、减少时延、保护数据隐私等优点具有深度助力电力领域发展的巨大潜力。首先,对边云协同智能的概念和研究现状进行了介绍,阐述了边云协同智能的特征和优势,并对其赋能电力领域进行了适用性探讨。然后,结合电力系统的建设需求,讨论了面向电力场景的边云协同智能关键技术,接着针对电力领域的两个典型场景,分别给出了基于边云协同智能技术的解决方案,并搭建仿真实验进行效果验证。最后,对全文进行了总结并对下一步的研究方向进行了简要的展望。
With the continuous development of the Internet of things on electricity(IoTE)and large-scale deployment of intelligent edge devices,an explosively increasing amount of data are being generated at the network edge.The efficient,fast and secure processing and analysis of the massive edge located data brings great challenges for the traditional cloud computing-based intelligence technologies.Instead,edge-cloud collaborative intelligence(ECCI)technologies can significantly outperform the cloud computing-based intelligence in terms of the network bandwidth saving,delay reduction and privacy protection,and therefore have shown a great potential in boosting the development of power grids.To investigate the application of ECCI in power grids,the concept and research progress of ECCI were firstly introduced.The characteristics and advantages of ECCI were summarized and its applicability in the power grids were discussed.Secondly,the key technologies of ECCI applications for power grids were discussed and the solutions based on ECCI technologies for two typical scenes were proposed respectively.Finally,a brief discussion of future work was given.
作者
韩青
高昆仑
赵婷
陈江琦
杨新宇
杨树森
HAN Qing;GAO Kunlun;ZHAO Ting;CHEN Jiangqi;YANG Xinyu;YANG Shusen(Xi’an Jiaotong University,Xi’an 710049,China;Global Energy Interconnection Research Institute Co.,Ltd.,Beijing 102209,China)
出处
《物联网学报》
2021年第1期62-71,共10页
Chinese Journal on Internet of Things
基金
国家重点研发计划(No.2017YFB1010004)
国家自然科学基金资助项目(No.61772410,No.61802298,No.U1811461,No.11690011)
中央高校基本科研业务费资助项目(No.xjj2018237)
中国博士后科学基金资助项目(No.2020T130513,No.2019M663726,No.2017M623177)。
关键词
智能电网
电力物联网
人工智能
边缘计算
边云协同智能
smart grid
Internet of things on electricity
artificial intelligence
edge computing
edge-cloud collaborative intelligence
