中国电力 ›› 2018, Vol. 51 ›› Issue (11): 154-162.DOI: 10.11930/j.issn.1004-9649.201712051

• 信息与通信 • 上一篇    下一篇

边缘计算在电力供需领域的应用展望

李彬1, 贾滨诚1, 陈宋宋2, 杨斌3, 孙毅1, 祁兵1   

  1. 1. 华北电力大学 电气与电子工程学院, 北京 102206;
    2. 中国电力科学研究院有限公司, 北京 100192;
    3. 国网江苏省电力有限公司, 江苏 南京 210024
  • 收稿日期:2017-12-23 修回日期:2018-04-25 出版日期:2018-11-05 发布日期:2018-11-16
  • 作者简介:李彬(1983-),男,博士,副教授,从事电力通信、电气信息技术相关研究,E-mail:direfish@163.com
  • 基金资助:
    国家电网公司科技资助项目(SGJS0000YXJS1700314)。

Prospect of Application of Edge Computing in the Field of Supply and Demand

LI Bin1, JIA Bincheng1, CHEN Songsong2, YANG Bin3, SUN Yi1, QI Bing1   

  1. 1. School of Electric and Electronic Engineering, North China Electric Power University, Beijing 102206, China;
    2. China Electric Power Research Institute, Haidian District, Beijing 100192, China;
    3. State Grid Jiangsu Electric Power Company, Nanjing 210024, China
  • Received:2017-12-23 Revised:2018-04-25 Online:2018-11-05 Published:2018-11-16
  • Supported by:
    This work is supported by the Science and Technology Projects of SGCC (No.SGJS0000YXJS1700314).

摘要: 随着电力供需领域设备的智能化,电力供需领域之间传递的信息量不断增大,导致带宽资源的浪费以及信息不能得到及时的处理。将边缘计算引入电力供需领域能很好地解决这些问题。论述了边缘计算的产生以及优势;随后分析了电力供需互动以及研究了电力供需领域对于边缘计算的需求;最后,对边缘计算在电力供需领域应用进行了展望,构建了边缘计算在电力供需领域应用的具体场景,为边缘计算在电力供需领域中的发展提供参考。

关键词: 能源互联网, 边缘计算, 供需互动, 自动需求响应, 智能化, 数据处理

Abstract: With the intellectualization of equipment in the supply and demand field, the amount of information transferred between supply and demand areas is increasing, resulting in waste of bandwidth resources and information processed not in time. The introduction of edge computing into the supply and demand field is a good solution to these problems. This paper discusses the emergence and advantages of edge computing. Then it analyzed the supply and demand interaction and explained the demand for edge computing in the supply and demand field. Finally, this paper looks forward to the application of edge computing in the field of supply and demand. And the application of edge computing in the specific scene of supply and demand is built in this paper, which provides reference for the development of edge computing in the field of supply and demand.

Key words: energy internet, edge computing, supply and demand interaction, automatic demand response, intelligent, data processing

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