边缘计算使能智慧电网  

Edge computing enabled smart grid

作　　者：张聪 樊小毅 刘晓腾 庞海天 孙立峰[3] 刘江川 ZHANG Cong;FAN Xiaoyi;LIU Xiaoteng;PANG Haitian;SUN Lifeng;LIU Jiangchuan(School of Computer Science and Technology, University of Science and Technology, Hefei 230027, China;Jiangxing Intelligence Inc., Shenzhen 518000, China;Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China)

机构地区：[1]中国科学技术大学计算机科学与技术学院,安徽合肥230027 [2]深圳江行联加智能科技有限公司,广东深圳518000 [3]清华大学计算机科学与技术系,北京100084

出　　处：《大数据》2019年第2期64-78,共15页Big Data Research

基　　金：国家自然科学基金资助项目(No.61472204;No.61521002);国家重点研发计划基金资助项目(No.2018YFB1003703);北京市网络多媒体重点实验室基金资助项目(No.Z161100005016051)~~

摘　　要：随着物联网技术、高速通信技术、智能芯片技术的发展,协同利用这些技术提高传统电网在设备数据收集、储能策略分析和用电安全监控等方面的效能成为亟待解决的难题。对边缘计算技术如何助力电力企业智能化转型进行了着重分析,讨论了边缘计算在构建低时延、轻量级、高效能和高可靠的智慧电网平台方面的优势,介绍了智慧电网中的各类应用场景和对应的边缘计算解决方案。最后,对国内外两种边缘计算平台及其使用的主要技术和应用场景进行了分析。How to mitigate such pressure has become a critical challenge for global grid enterprises. Empowered by the development of IoT techniques, high-speed communications, and AI-chips, traditional grid enterprises are trying to adopt these new techniques to solve the challenge, especially in heterogeneous data collection, energy scheduling, and AI-enabled monitoring.Firstly, the background of smart grid and the history of edge computing were introduced. Then, edge computing enabled solutions were illustrated in three typical grid scenarios. Finally, two edge computing platforms at home and abroad were introduced. The main technologies and application scenarios of them were also analyzed.

关 键 词：边缘计算 电网智能化 容器和虚拟化 

分 类 号：TP393.4[自动化与计算机技术—计算机应用技术]