边缘计算在需求响应中的应用现状及发展思路

doi:10.3969/j.issn.1674-1951.2021.03.001

华电技术 ›› 2021, Vol. 43 ›› Issue (3): 1-8.doi: 10.3969/j.issn.1674-1951.2021.03.001

• 边缘计算 • 下一篇

边缘计算在需求响应中的应用现状及发展思路

李彬¹, 郝一浩¹^,^*(), 祁兵¹, 陈宋宋², 冯剑³

1.华北电力大学电气与电子工程学院, 北京 102206
2.需求侧多能互补优化与供需互动技术北京市重点实验室（中国电力科学研究院有限公司）, 北京100192
3.国网河北省电力有限公司, 石家庄 050022

收稿日期:2020-12-17 修回日期:2021-02-28 出版日期:2021-03-25 发布日期:2021-03-25
通讯作者: 郝一浩
作者简介:李彬（1983—）,男,北京人,副教授,从事电气信息技术及电力系统通信等方面的研究（E-mail:direfish@163.com）。
祁兵（1965—）,男,辽宁辽阳人,教授,博士生导师,从事电力节能、自动需求响应等方面的研究。
陈宋宋（1987—）,男,山东昌邑人,工程师,工学硕士,从事能效与智能用电技术等方面的研究。
冯剑（1984—）,女,河北邢台人,工学硕士,高级工程师,从事电力市场分析、电力需求侧管理等方面的研究。
基金资助:
国网河北省电力有限公司科技项目(5442YDXG180012)

Application and development of edge computing in demand response

LI Bin¹, HAO Yihao¹^,^*(), QI Bing¹, CHEN Songsong², FENG Jian³

1.School of Electric and Electronic Engineering, North China Electric Power University, Beijing 102206, China
2.Beijing Key Laboratory of Demand Side Multi-Energy Carriers Optimization and Interaction Technique（China Electric Power Research Institute）, Beijing 100192, China
3.State Grid Hebei Electric Power Company Limited, Shijiazhuang 050022,China

Received:2020-12-17 Revised:2021-02-28 Online:2021-03-25 Published:2021-03-25
Contact: HAO Yihao

摘要/Abstract

摘要：

随着电力需求响应信息化水平的提升,未来大规模智能终端即将接入网络,电力通信网的核心节点压力倍增,系统对云端的要求提高,传统的集中式云端管理无法支持海量终端业务、保障服务质量。边缘计算作为一种新型的计算模式,去中心化、边缘化、实时性、安全性是其最显著特点,它可以实现相当一部分的计算任务、控制管理任务和业务支持任务的卸载,利用本地网络资源设施实现边缘化的计算处理。分析了边缘计算和云计算的关系,总结了边缘计算国内外体系架构和边缘云的特点; 结合需求响应现状对边缘计算应用于需求响应业务进行探讨,描述了一个双层云计算系统模型;论述了目前有关边缘计算部署的问题,并对面向需求响应业务的边缘云部署研究做出了展望。

关键词: 边缘计算, 需求响应, 云计算, 边缘云, 边缘云部署, 边云协同, 电力通信网

Abstract:

With the informatization of demand response in power industry, large-scale intelligent terminals will be connected to the grid. It will exert great pressure on the core nodes of the power communication network and make high requirements on cloud. Traditional centralized cloud cannot provide support for mass terminals or ensure their service quality.A new computing mode, edge computing, which is characterized by decentralization, marginalization, real-time performance and security, can complete a considerable part of computing, management and business support tasks by using local resources and facilities. Analyzing the relationship between edge computing and cloud computing, the architectures of edge computing at home and abroad,and the characteristics of edge cloud are summarized. Under current status of demand response, the applications of edge computing in demand response are expounded, and a double-layer cloud computing system is built. The prospect for edge cloud deployment is made according to the research on its problems.

Key words: edge computing, demand response, cloud computing, edge cloud, edge cloud deployment, edge cloud collaboration, power communication network

中图分类号:

TM73

李彬, 郝一浩, 祁兵, 陈宋宋, 冯剑. 边缘计算在需求响应中的应用现状及发展思路[J]. 华电技术, 2021, 43(3): 1-8.

LI Bin, HAO Yihao, QI Bing, CHEN Songsong, FENG Jian. Application and development of edge computing in demand response[J]. Huadian Technology, 2021, 43(3): 1-8.

图/表 3

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边缘计算在需求响应中的应用现状及发展思路

Application and development of edge computing in demand response

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