摘要
介绍了边缘计算、云计算、边云协同领域的国内外研究现状,针对目前电力系统业务数据处理时延高、云计算压力增加等问题,分析了边缘计算参考架构和边云协同技术框架,对输电线路、需求侧资源优化、电力物联网等不同应用场景下的边云协同技术在电力系统业务中的应用模式进行研究,提出了增强数据处理能力和信息交互能力的方法,以缓解云计算压力。最后对未来面向电力物联网的边云协同技术策略优化及体系完善方面的研究进行了展望。
This paper firstly introduces the overseas and domestic researching status of edge computing,cloud computing and edge-cloud collaboration technology.Aiming at the problems of the increasing of service data processing time delay and cloud computing pressure in current power system,the paper analyzes the edge computing reference architecture and the technical framework of edge-cloud collaboration,and the application mode of edge-cloud collaboration technology in power system services under different application scenarios is analyzed,such as transmission lines,demand side resource optimization,and power internet of things.The method of enhancing data processing ability and information interaction ability is proposed,in order to relieve cloud computing pressure.Finally,future research on strategy optimization and system improvement of edge cloud collaboration technology for power internet of things is prospected.
作者
刘思放
王晓东
盛肖宁
LIU Sifang;WANG Xiaodong;SHENG Xiaoning(Northeast Electric Power Design Institute Co.,Ltd.,of China Power Engineering Consulting Group,Changchun 130021,China;Jilin Traffic Planning and Design Institute,Changchun 130021,China)
出处
《内蒙古电力技术》
2022年第6期51-56,共6页
Inner Mongolia Electric Power
关键词
云计算
边缘计算
边云协同
电力系统业务
需求侧资源
电力物联网
cloud computing
edge computing
edge-cloud collaboration
power system service
demand side resource
power internet of things
