边缘计算使能智慧电网

张聪; 樊小毅; 刘晓腾; 庞海天; 孙立峰; 刘江川

doi:10.11959/j.issn.2096-0271.2019014

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边缘计算使能智慧电网

专题：边缘计算 | 更新时间：2024-06-03

- 边缘计算使能智慧电网
- Edge computing enabled smart grid
- 大数据 2019年5卷第2期页码：2019014-1
- 作者机构：
  
  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
- 作者简介：
  
  [ "张聪（1986- ），男，中国科学与技术大学计算机科学与技术学院副研究员，主要研究方向为多媒体网络、互动视频直播、大数据与边缘计算等。" ]
  [ "樊小毅（1990- ），男，博士，深圳江行联加智能科技有限公司联合创始人、首席技术官，主要研究方向为智能物联网，包括大数据处理、物联网、人工智能等。" ]
  [ "刘晓腾（1996- ），男，深圳江行联加智能科技有限公司人工智能（AI）算法实习生，主要研究方向为深度学习、智慧城市和大数据分析。" ]
  [ "庞海天（1993- ），男，清华大学计算机科学与技术系博士生，主要研究方向为网络多媒体、边缘计算、大数据处理、人工智能、网络经济学分析等。" ]
  [ "孙立峰（1972- ），男，清华大学计算机科学与技术系教授，主要研究方向为在线社交网络、视频流处理、交互式多视角视频和分布式视频编码。" ]
  [ "刘江川（1975- ），男，博士，深圳江行联加智能科技有限公司创始人，IEEE Fellow，主要研究方向为多媒体系统与计算机网络、云计算、社交网络、在线游戏、大数据和智能计算、新能源系统数据分析和优化、物联网和点对点网络等。" ]
- 基金信息：
  
  国家自然科学基金资助项目;The National Natural Science Foundation of China(61472204);国家自然科学基金资助项目;The National Natural Science Foundation of China(6152100);国家重点研发计划基金资助项目;National Key Research and Development Program of China(2018YFB1003703);北京市网络多媒体重点实验室基金资助项目;Beijing Key Laboratory of Networked Multimedia Program(Z161100005016051)
- DOI：10.11959/j.issn.2096-0271.2019014
  中图分类号： TP393.4
- 网络首发：2019-03，
  
  纸质出版：2019-03-15
- 稿件说明：
移动端阅览
张聪, 樊小毅, 刘晓腾, 等. 边缘计算使能智慧电网[J]. 大数据, 2019,5(2):2019014-1.

Cong ZHANG, Xiaoyi FAN, Xiaoten LIU, et al. Edge computing enabled smart grid[J]. Big Data Research, 2019, 5(2): 2019014-1.
张聪, 樊小毅, 刘晓腾, 等. 边缘计算使能智慧电网[J]. 大数据, 2019,5(2):2019014-1. DOI： 10.11959/j.issn.2096-0271.2019014.

Cong ZHANG, Xiaoyi FAN, Xiaoten LIU, et al. Edge computing enabled smart grid[J]. Big Data Research, 2019, 5(2): 2019014-1. DOI： 10.11959/j.issn.2096-0271.2019014.

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。

Abstract

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

Keywords

references

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