边缘计算在综合能源系统运行控制中的应用

doi:10.3969/j.issn.2097-0706.2022.01.007

综合智慧能源 ›› 2022, Vol. 44 ›› Issue (1): 49-55.doi: 10.3969/j.issn.2097-0706.2022.01.007

• 综合能源系统优化运行与控制 • 上一篇下一篇

边缘计算在综合能源系统运行控制中的应用

杨冬梅¹(), 何国鑫²^,^*(), 朱金大¹, 王琦², 耿健¹, 王俊¹, 李宁²

1.南瑞集团（国网电力科学研究院）有限公司,南京 211106
2.南京师范大学电气与自动化工程学院,南京 210023

收稿日期:2021-07-08 修回日期:2021-09-09 出版日期:2022-01-25 发布日期:2022-02-15
通讯作者: 何国鑫
作者简介:杨冬梅（1983）,女,高级工程师,硕士,从事综合能源系统、高效蓄冷蓄热、电池储能系统能量管理等研究, yangdongmei@sgepri.sgcc.com.cn。
基金资助:
国家重点研发计划项目(2018YFB0905000);江苏省政策引导类计划(国际科技合作)项目(BZ2019057)

Application of edge computing in integrated energy system operation control

YANG Dongmei¹(), HE Guoxin²^,^*(), ZHU Jinda¹, WANG Qi², GENG Jian¹, WANG Jun¹, LI Ning²

1. NARI Group Corporation （State Grid Electric Power Research Institute）,Nanjing 211106,China
2. School of Electrical and Automation Engineering, Nanjing Normal University,Nanjing 210023,China

Received:2021-07-08 Revised:2021-09-09 Online:2022-01-25 Published:2022-02-15
Contact: HE Guoxin

摘要/Abstract

摘要：

随着大数据、云计算、物联网、移动互联、人工智能等新技术的发展,综合能源服务的内涵不断延伸。综合能源系统服务管理对象多、处理数据量大、隐私安全要求高,传统集中式的云计算架构难以满足应用要求,以分布式为特征的边缘计算技术为解决该问题提供了新的思路。从实际业务需求出发,分析了综合能源系统运行控制面临的困难与挑战,构建了基于物联网的综合能源系统分层协同控制架构,从感知层、网络层、平台层、应用层4个层面剖析了边缘计算技术的适用性与价值点,然后以工业园区为例,提出了基于多边协同的区域综合能源系统运行控制模型与求解方法,最后对边缘计算在综合能源服务中的应用前景进行了展望。

关键词: 大数据, 物联网, 人工智能, 边缘计算, 云计算, 综合能源系统, 运行控制

Abstract:

With the development of new technologies, e.g., big data, cloud computing, Internet of Things, mobile Internet, and artificial intelligence, integrated energy services are expected to witness its connotation expansion. Integrated energy systems entail services and management for large-scale targets, processing massive data, as well as high demands on privacy and security, which has push conventional centralized cloud computing architecture beyond its application scope. Distributed edge computing blazes a new trail for solving this predicament. The difficulties and challenges encountered by the integrated energy system in its operation and control are analyzed,considering the actual business requirements. Based on the Internet of Things, a layered collaborative control architecture for the system is built, which consists of a perceptive layer, a network layer, a platform layer and an application layer. The feasibility and value of edge computing technologies applied in the four layers are investigated. Furthermore, taking industrial parks as examples, a multilateral collaborative operation and control model for regional integrated energy systems is proposed and its solving methodology is given as well. Finally, the application prospects of edge computing technologies in integrated energy services are made.

Key words: edge computing, IoT, edge computing, cloud computing, integrated energy system, operation control

中图分类号:

TK01⁺8:TP399:TM71

杨冬梅, 何国鑫, 朱金大, 王琦, 耿健, 王俊, 李宁. 边缘计算在综合能源系统运行控制中的应用[J]. 综合智慧能源, 2022, 44(1): 49-55.

YANG Dongmei, HE Guoxin, ZHU Jinda, WANG Qi, GENG Jian, WANG Jun, LI Ning. Application of edge computing in integrated energy system operation control[J]. Integrated Intelligent Energy, 2022, 44(1): 49-55.

图/表 6

图1

图2

图3

表1

主要物联网通信技术性能对比

通信技术	通信范围/m	数据吞吐量/(bit·s^-1)	功耗
Zigbee网	30 $∼$ 100	20 k $∼$ 250 k	低
BLE	10 $∼$ 1 500	125 k $∼$ 2 000 k	低
无线Wi-Fi	15 $∼$ 100	54 M $∼$ 1 300 M	中等
NB-IoT	1 000 $∼$ 10 000	$<$ 200 k	低
LoRa	2 000 $∼$ 20 000	10 k $∼$ 50 k	低
低功耗SigFox	3 000 $∼$ 50 000	$<$ 100	低

表1

图4

图5

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边缘计算在综合能源系统运行控制中的应用

Application of edge computing in integrated energy system operation control

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