面向软件定义网络的配电边缘计算终端优化部署方法

doi:10.12204/j.issn.1000-7229.2023.01.010

电力建设 ›› 2023, Vol. 44 ›› Issue (1): 82-90.doi: 10.12204/j.issn.1000-7229.2023.01.010

面向软件定义网络的配电边缘计算终端优化部署方法

秦强(), 刘文泽(), 谭炜豪(), 蔡泽祥(), 岑伯维(), 匡佩()

华南理工大学电力学院,广州市 510641

收稿日期:2022-05-30 出版日期:2023-01-01 发布日期:2022-12-26
通讯作者: 刘文泽 E-mail:754660549@qq.com;liuwzh@scut.edu.cn;201530212530@scut.edu.cn;epzxcai@scut.edu.cn;epbowei@163.com;996509836@qq.com
作者简介:秦强(1995),男,硕士研究生,主要研究方向为电力物联网、边缘计算,E-mail:754660549@qq.com。
谭炜豪(1997),男,硕士研究生,主要研究方向为电力物联网、边缘计算,E-mail:201530212530@scut.edu.cn。
蔡泽祥(1960),男,博士,教授,主要研究方向为电力系统保护与控制、电力物联网、边缘计算,E-mail:epzxcai@scut.edu.cn。
岑伯维(1997),男,硕士研究生,主要研究方向为电力物联网、边缘计算,E-mail:epbowei@163.com。
匡佩(1997),女,硕士研究生,主要研究方向为电力物联网、边缘计算,E-mail:996509836@qq.com。
基金资助:
广东省重点领域研发计划资助研究项目(2019B111109002)

An Optimal Deployment Method of Distribution Edge Computing Terminals for Software Defined Network

QIN Qiang(), LIU Wenze(), TAN Weihao(), CAI Zexiang(), CEN Bowei(), KUANG Pei()

School of Electric Power, South China University of Technology, Guangzhou 510641, China

Received:2022-05-30 Online:2023-01-01 Published:2022-12-26
Contact: LIU Wenze E-mail:754660549@qq.com;liuwzh@scut.edu.cn;201530212530@scut.edu.cn;epzxcai@scut.edu.cn;epbowei@163.com;996509836@qq.com

摘要/Abstract

摘要：

为增强配用电物联网的业务支撑能力以及节省经济成本,提出了一种面向软件定义网络(software defined network, SDN)的配电边缘计算终端优化部署方法。电力无线专网基站具有丰富的数据流与业务流,利用无线基站站址部署配电边缘计算终端具有显著的优势。首先,介绍了面向软件定义网络的配用电物联网边缘计算架构,建立了配用电物联网的业务、智能终端和边缘计算终端等要素模型。进一步,考虑边缘计算终端、智能终端以及SDN控制器的通信方式约束、边缘计算终端的服务延时和硬件配置约束,以年均设备成本和年均运行成本之和为目标,建立了配电边缘计算终端优化部署模型。最后,基于多场景的算例仿真结果验证了所提方法的有效性。

关键词: 配用电物联网, 软件定义网络(SDN), 边缘计算终端, 无线基站, 优化部署

Abstract:

In order to enhance the business support ability and save economic cost of power distribution internet of things, this paper proposes an optimal deployment method of the distribution edge computing terminals for software defined network (SDN). Base stations of power wireless private network are rich in data flow and service flow. Using the location of wireless base stations to deploy distribution edge computing terminals has significant advantages. This paper introduces the edge computing architecture of power distribution internet of things for software defined network, and establishes the models of business, intelligent terminal and edge computing terminal. Further, considering the communication mode constraints of edge computing terminal, intelligent terminal and SDN controller, and the constraints of service delay and hardware configuration of edge computing terminal, aiming at the sum of annual average equipment cost and annual average operation cost, this paper establishes an optimal deployment model of distribution edge computing terminals. Finally, the effectiveness of the proposed method is verified by the simulation results of a multi-scenario example.

This work is supported by the Key Research and Development Program of Guangdong Province (No. 2019B111109002).

Key words: power distribution internet of things, software defined network (SDN), edge computing terminal, wireless base station, optimal deployment

中图分类号:

TM73

秦强, 刘文泽, 谭炜豪, 蔡泽祥, 岑伯维, 匡佩. 面向软件定义网络的配电边缘计算终端优化部署方法[J]. 电力建设, 2023, 44(1): 82-90.

QIN Qiang, LIU Wenze, TAN Weihao, CAI Zexiang, CEN Bowei, KUANG Pei. An Optimal Deployment Method of Distribution Edge Computing Terminals for Software Defined Network[J]. ELECTRIC POWER CONSTRUCTION, 2023, 44(1): 82-90.

图/表 14

图1 面向SDN的配用电物联网边缘计算架构

Fig.1 Edge computing architecture of power distribution internet of things for SDN

表1 节点与业务关联关系

Table 1 Association between node and business

表2 业务参数

Table 2 Service parameters

表A1 运行年限

Table A1 Operated years constant

表A2 折算系数

Table A2 Conversion coefficient constant

表A3 硬件参数

Table A3 Hardware parameter constant

表A4 通信参数

Table A4 Communication parameter constant

表3 标准条件的优化部署结果

Table 3 Optimal deployment results under standard condition

图2 标准条件的总成本与延时

Fig.2 Total cost and delay under standard condition

表4 最优部署方案

Table 4 The best deployment scheme

表5 固定计算硬件参数的优化部署结果

Table 5 Optimal deployment results of fixed calculate hardware parameter

图3 固定计算硬件参数的总成本与延时

Fig.3 Total cost and delay of fixed calculate hardware parameter

表6 改变并发率的优化部署结果

Table 6 Optimal deployment results of changed concurrency rate

图4 改变并发率的总成本与延时

Fig.4 Total cost and delay of changed concurrency rate

参考文献 23

[1]	何奉禄, 陈佳琦, 李钦豪, 等. 智能电网中的物联网技术应用与发展[J]. 电力系统保护与控制, 2020, 48(3): 58-69.
	HE Fenglu, CHEN Jiaqi, LI Qinhao, et al. Application and development of internet of things in smart grid[J]. Power System Protection and Control, 2020, 48(3): 58-69.
[2]	李鹏, 杨莘博, 谭忠富, 等. 终端能源互联网平台典型应用场景及商业模式研究[J]. 电力建设, 2022, 43(3): 112-122. doi: 10.12204/j.issn.1000-7229.2022.03.012
	LI Peng, YANG Shenbo, TAN Zhongfu, et al. Research on typical application scenarios and business models of terminal energy internet platform[J]. Electric Power Construction, 2022, 43(3): 112-122. doi: 10.12204/j.issn.1000-7229.2022.03.012
[3]	刘日亮, 刘海涛, 夏圣峰, 等. 物联网技术在配电台区中的应用与思考[J]. 高电压技术, 2019, 45(6): 1707-1714.
	LIU Riliang, LIU Haitao, XIA Shengfeng, et al. Internet of things technology application and prospects in distribution transformer service area management[J]. High Voltage Engineering, 2019, 45(6): 1707-1714.
[4]	赵鹏, 蒲天骄, 王新迎, 等. 面向能源互联网数字孪生的电力物联网关键技术及展望[J]. 中国电机工程学报, 2022, 42(2):447-457.
	ZHAO Peng, PU Tianjiao, WANG Xinying, et al. Key technologies and perspectives of power internet of things facing with digital twins of the energy internet[J]. Proceedings of the CSEE, 2022, 42(2):447-457.
[5]	尚宇炜, 周莉梅, 马钊, 等. 数字化主动配电系统初探[J]. 中国电机工程学报, 2022, 42(5): 1760-1773.
	SHANG Yuwei, ZHOU Limei, MA Zhao, et al. Preliminary study of digitalized active distribution systems[J]. Proceedings of the CSEE, 2022, 42(5): 1760-1773.
[6]	BEDI G, VENAYAGAMOORTHY G K, SINGH R, et al. Review of internet of things (IoT) in electric power and energy systems[J]. IEEE Internet of Things Journal, 2018, 5(2): 847-870. doi: 10.1109/JIOT.2018.2802704 URL
[7]	岑伯维, 胡春潮, 蔡泽祥, 等. 配电物联网台区边缘计算终端微服务的文件锁数据同步机制[J]. 电力系统自动化, 2022, 46(13): 195-203.
	CEN Bowei, HU Chunchao, CAI Zexiang, et al. File lock based data synchronization mechanism for microservice of edge computing terminal in power distribution internet of things station area[J]. Automation of Electric Power Systems, 2022, 46(13): 195-203.
[8]	周峰, 周晖, 刁赢龙. 泛在电力物联网智能感知关键技术发展思路[J]. 中国电机工程学报, 2020, 40(1): 70-82.
	ZHOU Feng, ZHOU Hui, DIAO Yinglong. Development of intelligent perception key technology in the ubiquitous internet of things in electricity[J]. Proceedings of the CSEE, 2020, 40(1): 70-82.
[9]	岑伯维, 蔡泽祥, 胡凯强, 等. 电力物联网边缘计算终端业务时序逻辑与计算负荷建模方法[J]. 电力系统自动化, 2021, 45(9): 107-114.
	CEN Bowei, CAI Zexiang, HU Kaiqiang, et al. Modeling method for bussiness sequential logic and workload of edge computing terminal in electric internet of things[J]. Automation of Electric Power Systems, 2021, 45(9): 107-114.
[10]	张冀川, 陈蕾, 张明宇, 等. 配电物联网智能终端的概念及应用[J]. 高电压技术, 2019, 45(6): 1729-1736.
	ZHANG Jichuan, CHEN Lei, ZHANG Mingyu, et al. Conception and application of smart terminal for distribution internet of things[J]. High Voltage Engineering, 2019, 45(6): 1729-1736.
[11]	张亚健, 杨挺, 孟广雨. 泛在电力物联网在智能配电系统应用综述及展望[J]. 电力建设, 2019, 40(6): 1-12. doi: 10.3969/j.issn.1000-7229.2019.06.001
	ZHANG Yajian, YANG Ting, MENG Guangyu. Review and prospect of ubiquitous power internet of things in smart distribution system[J]. Electric Power Construction, 2019, 40(6): 1-12. doi: 10.3969/j.issn.1000-7229.2019.06.001
[12]	王同贺, 华昊辰, 曹军威. 共识边缘计算及其在能源互联网中的应用[J]. 电力建设, 2021, 42(2): 116-125. doi: 10.12204/j.issn.1000-7229.2021.02.014
	WANG Tonghe, HUA Haochen, CAO Junwei. Consensus edge computing and its applications in energy internet[J]. Electric Power Construction, 2021, 42(2): 116-125. doi: 10.12204/j.issn.1000-7229.2021.02.014
[13]	应俊, 蔡月明, 刘明祥, 等. 适用于配电物联网的低压智能终端自适应接入方法[J]. 电力系统自动化, 2020, 44(2): 22-27.
	YING Jun, CAI Yueming, LIU Mingxiang, et al. Adaptive access method of low voltage intelligent terminal for distribution internet of things[J]. Automation of Electric Power Systems, 2020, 44(2): 22-27.
[14]	原吕泽芮, 顾洁, 金之俭. 基于云-边-端协同的电力物联网用户侧数据应用框架[J]. 电力建设, 2020, 41(7): 1-8. doi: 10.12204/j.issn.1000-7229.2020.07.001
	YUAN Lüzerui, GU Jie, JIN Zhijian. User-side data application framework based on cloud-edge-user collaboration in power Internet of Things[J]. Electric Power Construction, 2020, 41(7): 1-8. doi: 10.12204/j.issn.1000-7229.2020.07.001
[15]	孙浩洋, 张冀川, 王鹏, 等. 面向配电物联网的边缘计算技术[J]. 电网技术, 2019, 43(12): 4314-4321.
	SUN Haoyang, ZHANG Jichuan, WANG Peng, et al. Edge computation technology based on distribution internet of things[J]. Power System Technology, 2019, 43(12): 4314-4321.
[16]	尚立, 蔡硕, 崔俊彬, 等. 基于软件定义网络的电网边缘计算资源分配[J]. 电力系统保护与控制, 2021, 49(20): 136-143.
	SHANG Li, CAI Shuo, CUI Junbin, et al. SDN-based MEC resource allocation of a power grid[J]. Power System Protection and Control, 2021, 49(20): 136-143.
[17]	岑伯维, 蔡泽祥, 武志刚, 等. 电力物联网边缘计算终端的微服务建模与计算资源配置方法[J]. 电力系统自动化, 2022, 46(5): 78-91.
	CEN Bowei, CAI Zexiang, WU Zhigang, et al. Microservice modeling and computing resource configuration method for edge computing terminal in electric internet of things[J]. Automation of Electric Power Systems, 2022, 46(5): 78-91.
[18]	尚秋峰, 李炎, 黄尔杰. 电力通信网中SDN控制器部署方法[J]. 电测与仪表, 2020, 57(16): 78-82.
	SHANG Qiufeng, LI Yan, HUANG Erjie. SDN controller deployment method in power communication network[J]. Electrical Measurement & Instrumentation, 2020, 57(16): 78-82.
[19]	LIN W, TANG Y, YOU M, et al. Deployment method of power terminal edge control center based on cloud-edge cooperative mode[C]// 2020 IEEE 5th Information Technology and Mechatronics Engineering Conference. IEEE, 2020: 65-69.
[20]	ZHANG J, YANG T, JI H, et al. Optimal locating method of edge computing device in cyber physical distribution system[J]. Energy Reports, 2022, 8: 684-694.
[21]	吕小东, 高红均, 叶圣永, 等. 考虑事故-经济重构共同影响的配电网智能终端规划[J]. 中国电机工程学报, 2022, 42(2): 589-603.
	LYU Xiaodong, GAO Hongjun, YE Shengyong, et al. Intelligent terminal planning strategy considering reliability and economy reconfiguration for distribution network[J]. Proceedings of the CSEE, 2022, 42(2): 589-603.
[22]	陈元榉, 蔡泽祥, 孙宇嫣, 等. 电力物联网边缘计算终端部署与业务分配优化方法[J]. 南方电网技术, 2022, 16(3): 100-107.
	CHEN Yuanju, CAI Zexiang, SUN Yuyan, et al. An optimization method of edge computing terminal deployment and service allocation in power internet of things[J]. Southern Power System Technology, 2022, 16(3): 100-107.
[23]	DAYARATHNA M, WEN Y G, FAN R. Data center energy consumption modeling: a survey[J]. IEEE Communications Surveys & Tutorials, 2016, 18(1): 732-794.

面向软件定义网络的配电边缘计算终端优化部署方法

An Optimal Deployment Method of Distribution Edge Computing Terminals for Software Defined Network

RichHTML

PDF

可视化

摘要/Abstract

引用本文

使用本文

图/表 14

参考文献 23

相关文章 1

编辑推荐

Metrics

本文评价