Optimal Configuration Method of Edge Computing Units forRapid Faults Processing in Distribution Network

Siyu PAN; Baozhu LIU

doi:10.12204/j.issn.1000-7229.2022.03.004

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Electric Power Construction ›› 2022, Vol. 43 ›› Issue (3) : 31-41. DOI: 10.12204/j.issn.1000-7229.2022.03.004

Research and Application of Key Technologies for Distribution Network Planning and Operation Optimization under New Energy Power Systems ·Hosted by Professor WANG Shouxiang, Dr. ZHAO Qianyu·

Optimal Configuration Method of Edge Computing Units forRapid Faults Processing in Distribution Network

Siyu PAN ,
Baozhu LIU

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Abstract

With the continuous improvement of the automation level of distribution network, the sensing terminals and access data have increased sharply. Problems such as slow data transmission and information missing and false alarms have seriously affected the speed and accuracy of fault handling. Edge computing can quickly and efficiently process data and make decisions on the spot. To this end, an optimized configuration method of edge computing units for rapid processing of distribution network faults is proposed, including system architecture, edge generation, and division methods. Firstly, the objective function is constructed by economic and communication real-time indicators, and reliability and system requirements are constraints to solve the optimal number of edge. Then, spectral clustering combined with k-means algorithm is used to divide the jurisdiction and location of edge, and partitions are modified according to balance and actual requirements. Finally, the IEEE 33-node and IEEE 69-node systems are verified as examples. The fault simulation model based on Matlab/Simulink is established. Compared with traditional methods, this method can deal with distribution network faults correctly and quickly, and effectively guarantee the safe and stable operation of distribution network.

Key words

distribution network / fault handling / edge computing / optimal configuration / edge division

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Siyu PAN , Baozhu LIU. Optimal Configuration Method of Edge Computing Units forRapid Faults Processing in Distribution Network[J]. Electric Power Construction. 2022, 43(3): 31-41 https://doi.org/10.12204/j.issn.1000-7229.2022.03.004

References

List( Publishing order | Descend order by publishing year | Descend order by cited within ) Chart analysis

[1]	宋璇坤, 韩柳, 鞠黄培, 等. 中国智能电网技术发展实践综述[J]. 电力建设, 2016, 37(7):1-11. SONG Xuankun, HAN Liu, JU Huangpei, et al. A review on development practice of smart grid technology in China[J]. Electric Power Construction, 2016, 37(7):1-11. Cited in this article [1]

[2]

王志伟, 李建岐, 黄毕尧. 基于混合队列模型的配电网状态监测业务通信带宽预测[J]. 电力建设, 2019, 40(11):1-7.

WANG

Zhiwei

, LI

Jianqi

, HUANG

Biyao

. Communication bandwidth prediction based on hybrid queue model for condition monitoring service in distribution network[J]. Electric Power Construction, 2019, 40(11):1-7.

Cited in this article [1]

[3]	孙毅, 李世豪, 李彬, 等. 基于IEC 61850的智能配电通信网络仿真平台设计[J]. 电力建设, 2016, 37(2):118-124. SUN Yi, LI Shihao, LI Bin, et al. Communication network simulation platform design of intelligent power distribution based on IEC 61850[J]. Electric Power Construction, 2016, 37(2):118-124. Cited in this article [1]

[4]	郑涛, 潘玉美, 王英男, 等. 配电网具有容错性的快速故障定位方法研究[J]. 电力系统保护与控制, 2014, 42(6):63-68. ZHENG Tao, PAN Yumei, WANG Yingnan, et al. Fast and robust fault location for distribution systems[J]. Power System Protection and Control, 2014, 42(6):63-68. Cited in this article [2]

[5]

吕军, 栾文鹏, 刘日亮, 等. 基于全面感知和软件定义的配电物联网体系架构[J]. 电网技术, 2018, 42(10):3108-3115.

LÜ

Jun

, LUAN

Wenpeng

, LIU

Riliang

, et al. Architecture of distribution Internet of Things based on widespread sensing & software defined technology[J]. Power System Technology, 2018, 42(10):3108-3115.

Cited in this article [3]

[6]	龚钢军, 罗安琴, 陈志敏, 等. 基于边缘计算的主动配电网信息物理系统[J]. 电网技术, 2018, 42(10):3128-3135. GONG Gangjun, LUO Anqin, CHEN Zhimin, et al. Cyber physical system of active distribution network based on edge computing[J]. Power System Technology, 2018, 42(10):3128-3135. Cited in this article [2]

[7]

王海林, 焦昊, 陈锦铭, 等. 基于稳定连接的配电网边缘划分方法及应用研究[J]. 电力信息与通信技术, 2020, 18(1):26-32.

WANG

Hailin

, JIAO

Hao

, CHEN

Jinming

, et al. Research and application of the method of edge division of distribution network based on stable connection[J]. Electric Power Information and Communication Technology, 2020, 18(1):26-32.

Cited in this article [2]

[8]	SHI W S, DUSTDAR S. The promise of edge computing[J]. Computer, 2016, 49(5):78-81. Cited in this article [1]

[9]	SHI W S, CAO J, ZHANG Q, et al. Edge computing: Vision and challenges[J]. IEEE Internet of Things Journal, 2016, 3(5):637-646. https://doi.org/10.1109/JIOT.2016.2579198 http://ieeexplore.ieee.org/document/7488250/ Cited in this article [1]

[10]	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. Cited in this article [1]

[11]	DONG L, LIU W, CHEN N S, et al. Study on regional autonomy of active distribution network based on consensus theory[C]// 2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference. October 25-28, 2016, Xi’an, China. IEEE, 2016: 59-63. Cited in this article [1]

[12]

聂峥, 章坚民, 傅华渭. 配变终端边缘节点化及容器化的关键技术和应用场景设计[J]. 电力系统自动化, 2020, 44(3):154-161.

NIE

Zheng

, ZHANG

Jianmin

, FU

Huawei

. Key technologies and application scenario design for making distribution transformer terminal unit being a containerized edge node[J]. Automation of Electric Power Systems, 2020, 44(3):154-161.

Cited in this article [1]

[13]

SHAHRAEINI

, JAVIDI M

, GHAZIZADEH M

. Comparison between communication infrastructures of centralized and decentralized wide area measurement systems[J]. IEEE Transactions on Smart Grid, 2011, 2(1):206-211.

https://doi.org/10.1109/TSG.2010.2091431

http://ieeexplore.ieee.org/document/5668520/

Cited in this article [1]

[14]	电力系统通信设计技术规定:DL/T 5391—2007[S]. Design technical code of dispatching communication of electric power system:DL/T 5391—2007[S]. Cited in this article [2]

[15]	梁海平, 顾雪平. 基于谱聚类的黑启动子系统划分[J]. 电网技术, 2013, 37(2):372-377. LIANG Haiping, GU Xueping. Black-start network partitioning based on spectral clustering[J]. Power System Technology, 2013, 37(2):372-377. Cited in this article [1]

[16]

陆俊, 李子, 朱炎平, 等. 智能配用电信息采集业务通信带宽预测[J]. 电网技术, 2016, 40(4):1277-1282.

Jun

, LI

, ZHU

Yanping

, et al. Communication bandwidth prediction for information gathering services in power distribution and utilization of smart grid[J]. Power System Technology, 2016, 40(4):1277-1282.

Cited in this article [2]

[17]

李映雪, 陆俊, 徐志强, 等. 多技术融合的智能配用电终端通信接入架构设计[J]. 电力系统自动化, 2018(10):163-169.

Yingxue

, LU

Jun

, XU

Zhiqiang

, et al. Design of terminal communication access architecture for smart power distribution and utilization based on integration of multiple technologies[J]. Automation of Electric Power Systems, 2018(10):163-169.

[18]

何志勤, 张哲, 尹项根, 等. 集中决策式广域后备保护的分区模型与优化算法[J]. 电工技术学报, 2014, 29(4):212-219.

Zhiqin

, ZHANG

Zhe

, YIN

Xianggen

, et al. Partition model and optimization algorithm for wide-area backup protection based on centralized decision-making mode[J]. Transactions of China Electrotechnical Society, 2014, 29(4):212-219.

Cited in this article [1]

[19]	谢明, 叶梧, 冯穗力, 等. 自相似业务流下的排队性能分析[J]. 华南理工大学学报(自然科学版), 2006, 34(1):24-28. XIE Ming, YE Wu, FENG Suili, et al. Analysis of queuing performance of self-similar traffic input[J]. Journal of South China University of Technology (Natural Science Edition), 2006, 34(1):24-28. Cited in this article [1]