5G助力电力物联网：网络架构与关键技术

doi:10.11930/j.issn.1004-9649.202006230

中国电力 ›› 2021, Vol. 54 ›› Issue (3): 99-108.DOI: 10.11930/j.issn.1004-9649.202006230

• 5G等新一代信息技术在能源互联网中的应用研究 • 上一篇下一篇

5G助力电力物联网：网络架构与关键技术

熊轲¹, 张锐晨¹, 王蕊², 钟桂东³, 张煜⁴

1. 北京交通大学计算机与信息技术学院，北京 100044;
2. 辽宁广播电视大学，辽宁沈阳 110034;
3. 佳讯飞鸿（北京）智能科技研究院，北京 100044;
4. 国网能源研究院有限公司，北京 102209

收稿日期:2020-06-28 修回日期:2020-12-28 出版日期:2021-03-05 发布日期:2021-03-17
作者简介:熊轲(1981-)，男，博士，从事电力物联网、移动互联网、信息年龄、无人机网络等研究，E-mail：kxiong@bjtu.edu.cn;张锐晨(1995-)，男，博士研究生，从事5G网络、异构网络、智慧电网、机器学习应用等研究，E-mail：19112041@bjtu.edu.cn;王蕊(1982-)，女，硕士，从事电子通信、移动智能电子产品制造等研究，E-mail；172233762@qq.com;钟桂东(1984-)，男，硕士，高级工程师，从事5G网络、物联网、边缘计算、云平台等研究，E-mail：zhonggd@jxresearch.com;张煜(1983-)，男，通信作者，博士，从事电力物联网、无线协作网络、电能替代等研究，E-mail：zhangyu2@sgeri.sgcc.com.cn
基金资助:
国家自然科学基金资助项目(基于信息年龄的射频能量采集无线网络设计理论与方法，62071033)；中央高校基本科研专项资金资助项目(面向超密集无线能量采集异构网络的资源分配研究，2020YJS038)；国网能源研究院有限公司科技项目(典型场景下电力物联网边缘计算性能分析与仿真，SGNY202009014)

5G-Enabled Electricity Internet of Things: the Network Architecture and Key Technologies

XIONG Ke¹, ZHANG Ruichen¹, WANG Rui², ZHONG Guidong³, ZHANG Yu⁴

1. School of Computer and Information Technology, Beijing Jiaotong University, Beijing 100044, China;
2. Liaoning Radio and TV University, Shenyang 110034, China;
3. Jiaxun Feihong Intelligent Technology Institute, Beijing 100044, China;
4. State Grid Energy Research Institute Co., Ltd., Beijing 102209, China

Received:2020-06-28 Revised:2020-12-28 Online:2021-03-05 Published:2021-03-17
Supported by:
This work is supported by the National Natural Science Foundation of China (Theory and Methods on Designing Age of Information Based RF Energy Harvesting Enabled Wireless Networks, No.62071033), Fundamental Research Funds for the Central Universities (Research on Resource Allocation for Ultra-dense Wireless Energy Harvesting Heterogeneous Networks, No.2020YJS038), and the Self-developed project of State Grid Energy Research Institute Co., Ltd. (Power Internet of Things Edge Computing Performance Analysis and Simulation Based on Typical Scenarios, No.SGNY202009014)

摘要/Abstract

摘要： 电力物联网（electricity internet of things, EIoT）作为物联网和智能电网的结合，能够有效整合各类通信设备以及电力资源，提高电网信息化水平及现有设备利用率，并为建设具备全面感知、高效应变、灵活处理的智慧能源互联网提供了典型范例。第5代移动通信（the fifth generation mobile communication network，5G）具备“高速率、高容量、高可靠性、低时延与低能耗”的特点，其关键技术能够满足电力系统“海量设备接入、海量电力数据传输、电网极高可靠性、灵活协同响应、设备寿命持久”的需求，因此将5G通信技术与电力物联网进行深度融合已成为下一步研究与发展的重点。首先概述了电力物联网的基本概念，并结合5G通信技术的特点，提出了基于5G的电力物联网总体架构；然后分析总结了现有5G关键技术及其在物联网中的应用，最后对5G通信技术和电力物联网融合的未来研究趋势进行展望。

关键词: 电力物联网, 5G, 深度融合, 高容量, 关键技术

Abstract: As a combination of the Internet of Things and the smart grid, the Electricity Internet of Things (EIoT) could effectively integrate various communication resources and power resources to improve the informatization level of the power grid and the utilization of existing equipment. The EIoT would be a typical example of the Smart Energy Internet, which enjoys the features of comprehensive perception, efficient response, and flexible processing. The fifth-generation mobile communication network (5G) has the characteristics of "high rate, high capacity, high reliability, low latency and low energy consumption". The key technologies of 5G can satisfy the power grid requirements of "mass equipment access, mass power data transmission, power grid reliability, flexible cooperative response, and long equipment life". In this work, the basic concept of EIoT is presented. Then, the overall structure of EIoT based on 5G is constructed. Next, the 5G applications and its key technologies in EIoT are summarized. Finally, future research directions on 5G technology and EIoT are discussed.

Key words: Electricity Internet of Things, 5G, Deep integration, high capacity, key technologies

熊轲, 张锐晨, 王蕊, 钟桂东, 张煜. 5G助力电力物联网：网络架构与关键技术[J]. 中国电力, 2021, 54(3): 99-108.

XIONG Ke, ZHANG Ruichen, WANG Rui, ZHONG Guidong, ZHANG Yu. 5G-Enabled Electricity Internet of Things: the Network Architecture and Key Technologies[J]. Electric Power, 2021, 54(3): 99-108.

导出引用管理器 EndNote|Ris|BibTeX

链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202006230

https://www.electricpower.com.cn/CN/Y2021/V54/I3/99

参考文献

[1] 李存斌, 李小鹏, 田世明, 等. 能源互联网电力信息深度融合风险传递: 挑战与展望[J]. 电力系统自动化, 2017, 41(11): 17-25
LI Cunbin, LI Xiaopeng, TIAN Shiming, et al. Challenges and prospects of risk transmission in deep fusion of electric power and information for energy Internet[J]. Automation of Electric Power Systems, 2017, 41(11): 17-25
[2] 龚钢军, 孙毅, 蔡明明, 等. 面向智能电网的物联网架构与应用方案研究[J]. 电力系统保护与控制, 2011, 39(20): 52-58
GONG Gangjun, SUN Yi, CAI Mingming, et al. Research of network architecture and implementing scheme for the Internet of Things towards the smart grid[J]. Power System Protection and Control, 2011, 39(20): 52-58
[3] CHIANG M, ZHANG T. Fog and IoT: an overview of research opportunities[J]. IEEE Internet of Things Journal, 2016, 3(6): 854-864.
[4] 肖育苗, 吕亚莉. 5G与4G网络的对比分析综述[J]. 中国新通信, 2017, 19(11): 83-84
[5] 尤肖虎, 潘志文, 高西奇, 等. 5G移动通信发展趋势与若干关键技术[J]. 中国科学: 信息科学, 2014, 44(5): 551-563
YOU Xiaohu, PAN Zhiwen, GAO Xiqi, et al. The 5G mobile communication: the development trends and its emerging key techniques[J]. Scientia Sinica (Informationis), 2014, 44(5): 551-563
[6] 李建东, 滕伟, 盛敏, 等. 超高密度无线网络的自组织技术[J]. 通信学报, 2016, 37(7): 30-37
LI Jiandong, TENG Wei, SHENG Min, et al. Self-organizing techniques in ultra-dense wireless network[J]. Journal on Communications, 2016, 37(7): 30-37
[7] 张建敏, 谢伟良, 杨峰义. 5G超密集组网网络架构及实现[J]. 电信科学, 2016, 32(6): 36-43
ZHANG Jianmin, XIE Weiliang, YANG Fengyi. Architecture and solutions of 5G ultra dense network[J]. Telecommunications Science, 2016, 32(6): 36-43
[8] 赵慧玲, 史凡. SDN/NFV的发展与挑战[J]. 电信科学, 2014, 30(8): 13-18
ZHAO Huiling, SHI Fan. Development and challenge of SDN/NFV[J]. Telecommunications Science, 2014, 30(8): 13-18
[9] ZHENG H N, XIONG K, FAN P Y, et al. Fog-assisted multiuser SWIPT networks: local computing or offloading[J]. IEEE Internet of Things Journal, 2019, 6(3): 5246-5264.
[10] SORTOMME E, EL-SHARKAWI M A. Optimal charging strategies for unidirectional vehicle-to-grid[J]. IEEE Transactions on Smart Grid, 2011, 2(1): 131-138.
[11] 尤肖虎, 张川, 谈晓思, 等. 基于AI的5G技术: 研究方向与范例[J]. 中国科学: 信息科学, 2018, 48(12): 1589-1602
YOU Xiaohu, ZHANG Chuan, TAN Xiaosi, et al. AI for 5G: research directions and paradigms[J]. Scientia Sinica (Informationis), 2018, 48(12): 1589-1602
[12] YOU X H, ZHANG C, TAN X S, et al. AI for 5G: research directions and paradigms[J]. Science China Information Sciences, 2019, 62(2): 5-17.
[13] 王威丽, 何小强, 唐伦. 5G网络人工智能化的基本框架和关键技术[J]. 中兴通讯技术, 2018, 24(2): 38-42
WANG Weili, HE Xiaoqiang, TANG Lun. 5G networks based on artificial intelligence: basic framework and key techniques[J]. ZTE Technology Journal, 2018, 24(2): 38-42
[14] 李振宇, 郭锐, 赖秋频, 等. 基于计算机视觉的架空输电线路机器人巡检技术综述[J]. 中国电力, 2018, 51(11): 139-146
LI Zhenyu, GUO Rui, LAI Qiupin, et al. Survey of inspection technology of overhead transmission line robot based on computer vision[J]. Electric Power, 2018, 51(11): 139-146
[15] XIONG K, FAN P Y, ZHANG C, et al. Wireless information and energy transfer for two-hop non-regenerative MIMO-OFDM relay networks[J]. IEEE Journal on Selected Areas in Communications, 2015, 33(8): 1595-1611.
[16] DONG L, HAN Z, PETROPULU A P, et al. Improving wireless physical layer security via cooperating relays[J]. IEEE Transactions on Signal Processing, 2010, 58(3): 1875-1888.
[17] YE F, QIAN Y, HU R Q, et al. Reliable energy-efficient uplink transmission for neighborhood area networks in smart grid[J]. IEEE Transactions on Smart Grid, 2015, 6(5): 2179-2188.
[18] 崔青汝, 李庚达, 牛玉广. 电力企业智能发电技术规范体系架构[J]. 中国电力, 2018, 51(10): 32-36, 48
CUI Qingru, LI Gengda, NIU Yuguang. Architecture of the intelligent power generation technical specification for electric power enterprises[J]. Electric Power, 2018, 51(10): 32-36, 48

5G助力电力物联网：网络架构与关键技术

5G-Enabled Electricity Internet of Things: the Network Architecture and Key Technologies

RichHTML

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

[1]	孙通, 张沈习, 曹毅, 曹佳晨, 程浩忠. 计及5G基站可调特性的配电网分布式光伏准入容量鲁棒优化[J]. 中国电力, 2025, 58(2): 140-146.
[2]	李铁成, 范辉, 张卫明, 王献志, 张艺宏, 戴志辉. 基于5G通信的有源配电网新能源送出线路纵联保护[J]. 中国电力, 2024, 57(11): 139-150.
[3]	吴赞红. 面向强干扰电力物联网的低功耗数据回传方法[J]. 中国电力, 2024, 57(11): 191-198.
[4]	王艳茹, 尹喜阳, 欧清海, 马文洁, 刘卉, 杜治钢. 基于能量共享与交易协同的5G融合配电网基站储能调控方法[J]. 中国电力, 2023, 56(6): 61-70.
[5]	段瑶, 高崇, 程苒, 吴亚雄, 黄烨, 刘志文. 考虑5G基站可调度潜力的配电网分布式光伏最大准入容量评估[J]. 中国电力, 2023, 56(12): 80-85, 99.
[6]	李铁成, 范辉, 臧谦, 任江波, 张卫明, 王义波. 基于5G通信的有源配电网多点同步保护方案[J]. 中国电力, 2023, 56(11): 113-120.
[7]	赵保华, 王志皓, 陈连栋, 任春卉, 余发江, 徐庆. 电力物联网可信树形批量认证机制[J]. 中国电力, 2022, 55(5): 149-157.
[8]	翟峰, 冯云, 程凯, 蔡绍堂, 于丽莹, 杨挺. 基于信息熵的多源电力物联终端设备信任度评价方法[J]. 中国电力, 2022, 55(5): 158-165.
[9]	陆旭, 陈影, 许中平, 张海全, 慕春芳, 陈恺, 孙毅. 面向5G边缘计算网络的联合需求响应与任务卸载策略[J]. 中国电力, 2022, 55(10): 209-218.
[10]	余潇潇, 宋福龙, 周原冰, 梁海峰. “新基建”对中国“十四五”电力需求和电网规划的影响分析[J]. 中国电力, 2021, 54(7): 11-17.
[11]	赵丙镇, 王栋, 钱雪, 李军. 基于区块链的电力物联网信任网关设计与实现[J]. 中国电力, 2021, 54(7): 192-197.
[12]	佘蕊, 张宁池, 王艳茹, 郭丹丹, 马文洁, 刘卉, 张洁. 面向电力物联网的5G通信认知无线电NOMA系统研究[J]. 中国电力, 2021, 54(5): 35-45.
[13]	刘世栋, 卜宪德, 刘川, 田峰. 基于计算卸载的电力物联网能效优化研究[J]. 中国电力, 2021, 54(5): 28-34,45.
[14]	熊轲, 吴思宇, 郑海娜, 王蕊, 张煜. 5G-V2X辅助下基于站点区域类型的城市充电站规划方法[J]. 中国电力, 2021, 54(3): 89-98.
[15]	刘铭, 刘念, 韩晓艺, 彭林宁, 付华, 陈一悰. 一种基于射频指纹的电力物联网设备身份识别方法[J]. 中国电力, 2021, 54(3): 80-88.

模态框（Modal）标题

5G助力电力物联网：网络架构与关键技术

5G-Enabled Electricity Internet of Things: the Network Architecture and Key Technologies

RichHTML

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics