Application of edge computing in power equipment management and maintenance

doi:10.3969/j.issn.1674-1951.2021.03.003

Abstract

Abstract:

As an emerging data processing technology, edge computing can effectively improve the efficiency of power equipment operation and maintenance and information management in the context of rapid development of Energy Internet.By analyzing the work completed by edge computing in power equipment information management, the framework of power equipment and information management is constructed based on edge computing.By analyzing the key technology applied in the edge computing of power equipment operation and maintenance, a deployment scheme of edge network and a data processing architecture of edge nodes are proposed.Case studies are made on typical applications of edge computing in power equipment operation and maintenance.The results show that edge computing is promising in this scenario.

Key words: edge computing, Energy Internet, operation and maintenance of power equipment, power equipment management, cloud computing, new infrastructure

CLC Number:

TK01

JIA Bincheng. Application of edge computing in power equipment management and maintenance[J]. Huadian Technology, 2021, 43(3): 14-19.

Figures/Tables 4

References 30

[1]	国家电网有限公司. 国家电网公司举办“数字新基建”重点建设任务发布会暨云签约仪式[EB/OL].( 2020-06-16)[2020-10-05].https://www.sohu.com/a/402204652_253235?_trans_=000014_bdss_dkwhfy.
[2]	冯优 . 重磅！靴子落地！中国广电与国家电网联手杀入5G泛在电力物联网稳了[EB/OL].( 2019- 12- 20)[2020-10-05].http://chuneng.bjx.com.cn/news/20191220/1030023.shtml .
[3]	张晶, 叶筠英, 李彬 , 等. 智能电网标准国际化战略研究[J]. 供用电, 2020,37(3):3-9.
	ZHANG Jing, YE Yunying, LI Bin , et al. Research on the internationalization strategy of smart grid standards[J]. Distribution & Utilization, 2020,37(3):3-9.
[4]	吕聪敏, 熊伟 . 基于5G切片和MEC技术的智能电网总体框架设计[J]. 电力信息与通信技术, 2020,18(8):54-60.
	LÜ Congmin, XIONG Wei . Research on the framework of smart grid based on 5G slicing and MEC technology[J]. Electric Power Information and Communication Technology, 2020,18(8):54-60.
[5]	张徐亮, 万里冰, 钱伟中 , 等. 基于区块链的电力大数据安全保障体系[J]. 华电技术, 2020,42(8):68-74.
	ZHANG Xuliang, WAN Libing, QIAN Weizhong , et al. Security assurance system for electric power big data based on blockchain technology[J]. Huadian Technology, 2020,42(8):68-74.
[6]	孟安宁 . 对应用于智能电网的电力大数据分析技术的研究[J]. 电力设备管理, 2020(8):27-28.
	MENG Anning . Research on power big data analysis technology applied in smart grid[J]. Electric Power Equipment Management, 2020(8):27-28.
[7]	REN J K, YU G D, HE Y H , et al. Collaborative cloud and edge computing for latency minimization[J]. IEEE Transactions on Vehicular Technology, 2019,68(5):5031-5044.
[8]	王云泽, 王秋瑾, 马欣欣 . 基于区块链技术的能源互联网交易方案设计[J]. 华电技术, 2020,42(8):83-89.
	WANG Yunze, WANG Qiujin, MA Xinxin . Design of energy internet trading system based on blockchain technology[J]. Huadian Technology, 2020,42(8):83-89.
[9]	喻小宝, 郑丹丹 . 区块链技术在能源电力领域的应用及展望[J]. 华电技术, 2020,42(8):17-23.
	YU Xiaobao, ZHENG Dandan . Application and exploration of blockchain technology in energy and electricity[J]. Huadian Technology, 2020,42(8):17-23.
[10]	NING H S, LI Y F, SHI F F , et al. Heterogeneous edge computing open platforms and tools for internet of things[J]. Future Generation Computer Systems, 2020,106:67-76.
[11]	WANG S F . Edge computing:Applications, state-of-the-art and challenges[J]. Advances in Networks, 2019,7(1):8.
[12]	许志成, 彭志超, 杨怡 , 等. 基于边缘计算+区块链技术的源网荷储系统架构[J]. 电力信息与通信技术, 2020,18(9):25-30.
	XU Zhicheng, PENG Zhichao, YANG Yi , et al. Source-grid-load-storage system architecture based on edge computing and blockchain technology[J]. Electric Power Information and Communication Technology, 2020,18(9):25-30.
[13]	曹培, 徐鹏, 高凯 , 等. 基于边缘计算的电缆接头运行状态智能传感与监测[J]. 高压电器, 2020,56(9):26-32.
	CAO Pei, XU Peng, GAO Kai , et al. Intelligent sensing and monitoring of cable joints' state based on edge computing[J]. High Voltage Apparatus, 2020,56(9):26-32.
[14]	鄢晶, 高天露, 张俊 , 等. 边云链协同技术在能源互联网数据管理中的应用及展望[J]. 华电技术, 2020,42(8):41-47.
	YAN Jing, GAO Tianlu, ZHANG Jun , et al. Application and prospect of edge-cloud-chain collaboration technologiesfor energy[J]. Huadian Technology, 2020,42(8):41-47.
[15]	LIU Y, PENG M, SHOU G , et al. Towards edge intelligence:Multi-access edge computing for 5G and Internet of Things[J]. IEEE Internet of Things Journal, 2020,7(8):6722-6747.
[16]	杨健 . 基于边缘计算信息安全防护技术的研究[J]. 自动化与仪表, 2020,35(9):101-104.
	YANG Jian . Research on information security protection technology based on edge computing[J]. Automation & Instrumentation, 2020,35(9):101-104.
[17]	MIAO Y M, WU G X, LI M , et al. Intelligent task prediction and computation offloading based on mobile-edge cloud computing[J]. Future Generation Computer Systems, 2020,102:925-931.
[18]	CAO K Y, LIU Y F, MENG G J , et al. An overview on edge computing research[J]. IEEE Access, 2020,8:85714-85728.
[19]	ZHAO O Y, LIU X C, LI X , et al. Privacy‐preserving data aggregation scheme for edge computing supported vehicular ad hoc networks[J]. Early View, 2020,45(4):129-136.
[20]	王凌, 吴楚格, 范文慧 . 边缘计算资源分配与任务调度优化综述[J/OL]. 系统仿真学报:1-11.( 2020 -09-21)[2021-01-15].https://doi.org/10.16182/j.issn1004731x.joss.20-0584 .
	WANG Ling, WU Chuge, FAN Wenhui. A survey of edge computing resource allocation and task scheduling optimization[J/OL].Journal of System Simulation:1-11.( 2020-09-21)[2021-01-15].https://doi.org/10.16182/j.issn1004731x.joss.20-0584 .
[21]	顾志祥, 孙思宇, 孔飞 , 等. 燃气冷热电分布式能源系统设计优化综述[J]. 华电技术, 2019,41(3):8-13, 42.
	GU Zhixiang, SUN Siyu, KONG Fei , et al. Design optimization summary of CCHP distributed energy system driven by gas[J]. Huadian Technology, 2019,41(3):8-13, 42.
[22]	孙东磊, 杨思, 许易经 , 等. 电网设备状态检修的时变决策模型[J/OL]. 电力系统及其自动化学报:1-11.( 2020 -09-22)[2021-01-15].https://doi.org/10.19635/j.cnki.csu-epsa.000581 .
	SUN Donglei, YANG Si, XU Yijing , et al. Time varying decision model for condition based maintenance of power grid equipment[J/OL]. Proceedings of the CSU-EPSA:1-11.( 2020 -09-22)[2021-01-15].https://doi.org/10.19635/j.cnki.csu-epsa.000581 .
[23]	赵羽, 杨洁, 刘淼 , 等. 面向视频监控基于联邦学习的智能边缘计算技术[J]. 通信学报, 2020,41(10):109-115.
	ZHAO Yu, YANG Jie, LIU Miao , et al. Federated learning based intelligent edge computing technique for video surveillance[J]. Journal on Communications, 2020,41(10):109-115.
[24]	牛腾赟 . 某电厂发电设备可靠性建模及状态预测[J]. 华电技术, 2019,41(6):27-32.
	NIU Tengyun . Reliability modeling and state prediction of generating equipment in a power plant[J]. Huadian Technology, 2019,41(6):27-32.
[25]	AUSIELLO G, CRESCENZI P, KANN V , et al. Complexity and approximation[M]. Berlin: Springer Publishing Company, 2003: 268-288.
[26]	赵宇峰, 雷晟, 张国钢 , 等. 基于容器的电力设备仿真云平台设计与开发[J/OL]. 计算机工程:1-8.( 2020 -09-01)[2021-01-15].https://doi.org/10.19678/j.issn.1000-3428.0058324 .
	ZHAO Yufeng, LEI Sheng, ZHANG Guogang , et al. Design and development of electrical equipment simulation cloud platform based on containerization technology[J/OL]. Computer Engineering:1-8.( 2020 -09-01)[2021-01-15].https://doi.org/10.19678/j.issn.1000-3428.0058324 .
[27]	曾强 . WebGIS在智能电网大数据可视化中的应用与分析[J]. 华电技术, 2020,42(2):17-21.
	ZENG Qiang . Application and analysis of WebGIS in big data visualization of smart grid[J]. Huadian Technology, 2020,42(2):17-21.
[28]	冯斌, 张又文, 唐昕 , 等. 基于BiLSTM-Attention神经网络的电力设备缺陷文本挖掘[J]. 中国电机工程学报, 2020,40(S1):1-10.
	FENG Bin, ZHANG Youwen, TANG Xin , et al. Power equipment defect record text mining based on BiLSTM-Attention neural network[J]. Proceedings of the CSEE, 2020,40(S1):1-10.
[29]	蔡冰 . 电力大数据的多数据流实时处理技术分析[J]. 自动化与仪表, 2020,35(9):11-15.
	CAI Bing . Analysis of multi data stream real time processing technology for power big data[J]. Automation & Instrumentation, 2020,35(9):11-15.
[30]	胡枭, 尚策, 程浩忠 , 等. 综合能源系统能流计算方法述评与展望[J]. 电力系统自动化, 2020,44(18):179-193.
	HU Xiao, SHANG Ce, CHENG Haozhong , et al. Review and prospect of calculation method for energy flow in integrated energy system[J]. Automation of Electric Power Systems, 2020,44(18):179-193.