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智能电网中基于复杂网络的电力光传输网抗毁性分析

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  • 1. 南京工程学院 电力仿真与控制工程中心, 南京 211167;
    2. 南京供电公司信通分公司, 南京 210019

收稿日期: 2017-03-16

  修回日期: 2018-02-09

  网络出版日期: 2018-12-31

基金资助

国家自然科学基金(No.61401195);南京供电公司科技项目基金(No.NJ201527)资助

Invulnerability Analysis of Electric Power Optical Transmission Network in Smart Grid Based on Complex Networks

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  • 1. Electric Power Simulation and Control Engineering Center, Nanjing Institute of Technology, Nanjing 211167, China;
    2. Communication Branch Company of Nanjing Power Supply Company, Nanjing 210019, China

Received date: 2017-03-16

  Revised date: 2018-02-09

  Online published: 2018-12-31

摘要

为了提高智能电网中电力光传输网的抗毁性,基于复杂网络理论对南京市江北区电力光传输网进行随机性攻击和选择性攻击实验仿真,根据仿真结果给出提高电力光传输网抗毁性的方法.在随机性攻击实验中分析了单个节点失效对网络连通性能的影响,并对枢纽节点进行了筛选,得到需要重点保护的枢纽节点.在选择性攻击中,提出了网络效率相对损失率优先攻击和实时介数优先攻击策略,并从连通能力、网络效率和网络效率相对损失率三方面进行抗毁性评价.实验结果表明,电力光传输网对实时介数优先攻击的抗毁性最差,由此提出了一种重要节点评估与保护方法以提高电力光传输网的抗毁性,并仿真验证了该方法的可行性和有效性.

本文引用格式

孙娜, 夏正云, 施建强, 陈殿欣, 陆忞, 徐海洋 . 智能电网中基于复杂网络的电力光传输网抗毁性分析[J]. 应用科学学报, 2018 , 36(6) : 914 -924 . DOI: 10.3969/j.issn.0255-8297.2018.06.004

Abstract

In order to improve the invulnerability of electric power optical transmission network in the smart grid, experimental simulations of random attacks and selective attacks on electric power optical transmission network in Jiangbei District of Nanjing City are carried out based on complex network theory. A method of improving the invulnerability of the network is proposed according to the simulation results. In the experiment of random attacks, we investigate the impact of single node failure on network connectivity and screen the hub nodes, and get the hub nodes that need to be protected. In selective attacks, two kinds of attack strategies are proposed, namely, network efciency relative loss rate frst attacks and real-time betweenness frst attacks. The invulnerability of the network is evaluated from three aspects including connectivity, network efciency, and network efciency relative loss rate. The experimental results show that the electric power optical transmission network has the worst invulnerability to real-time betweenness frst attacks. On this basis, an important node evaluation and protection method is proposed to improve the invulnerability of electric power optical transmission network, and the feasibility and effectiveness of the proposed method is verifed by the example simulation.

参考文献

[1] 刘涤尘,冀星沛,王波,唐飞. 基于复杂网络理论的电力通信网拓扑脆弱性分析及对策[J]. 电网技术,2015, 39(12):3615-3621. Liu D C, Ji X P, Wang B, Tang F. Topological vulnerability analysis and countermeasures of electrical communication network based on complex network theory[J]. Power System Technology, 2015, 39(12):3615-3621. (in Chinese)
[2] 郭庆来,辛蜀骏,王剑辉,孙宏斌. 由乌克兰停电事件看信息能源系统综合安全评估[J]. 电力系统自动化,2016, 40(5):1-3. Guo Q L, Xin S J, Wang J H, Sun H B. Comprehensive security assessment for a cyber physical energy system a lesson from Ukraine's blackout[J]. Automation of Electric Power Systems, 2016, 40(5):1-3. (in Chinese)
[3] Tian X W, Liu S Y, Zhang Z H, Dong H J. A topology optimal algorithm for improving the invulnerability of scale-free networks[C]//International Conference on Information System and Artifcial Intelligence. IEEE, 2017:94-99.
[4] Zhao Z. Research on invulnerability of wireless sensor networks based on complex network topology structure[J]. International Journal of Online Engineering, 2017, 13(3):100-112.
[5] 夏正云,陈殿欣,韦磊,施建强,孙娜,陆忞. 南京市电力光纤传输网络拓扑分析与研究[J]. 电气自动化,2016, 38(3):60-63. Xia Z Y, Chen D X, Wei L, Shi J Q, Sun N, Lu M. Topology analysis and research on the power fber transmission network in Nanjing[J]. Electrical Automation, 2016, 38(3):60-63. (in Chinese)
[6] Wang Y M, Zhang D P, Pan C S, Chen B. Measure of invulnerability for command and control network based on network invulnerability entropy[C]//International Conference on Control Science and Systems Engineering. IEEE, 2016.
[7] Qi X G, Zhang C C, Liu L F. Study on node importance and network invulnerability analysis of wireless sensor network[J]. Systems Engineering-Theory & Practice, 2011, 31(2):34-37.
[8] Yang T, Zhang Z D, Li A. Research on transmission data system of smart grid based on IPv6 diffserv model[C]//Asia-Pacifc Power and Energy Engineering Conference. IEEE, 2010:1-4.
[9] 张志东,杨挺. 基于复杂网络的电力通信骨干网络关键点甄别[J]. 电力信息与通信技术,2015, 13(12):19-23. Zhang Z D, Yang T. Power communication backbone network critical elements recognition algorithm based on complex network theory[J]. Electric Power Information and Communication Technology, 2015, 13(12):19-23. (in Chinese)
[10] 赵军辉,姜婷婷,王海明. 智能电网中不同排队机制下的最优网关配置[J]. 东南大学学报(英文版),2016, 32(1):16-20. Zhao J H, Jiang T T, Wang H M. Optimal gateway deployment under different queuing mechanisms in smart grid[J]. Journal of Southeast University (English Edition), 2016, 32(1):16-20. (in Chinese)
[11] Bompard E, Pons E, Wu D. Analysis of the structural vulnerability of the interconnected power grid of continental Europe with the integrated power system and unifed power system based on extended topological approach[J]. International Transactions on Electrical Energy Systems, 2013, 23(5):620-637.
[12] Guan Z H, Chen L Q, Tong H. Routing in scale-free networks based on expanding betweenness centrality[J]. Physica A:Statistical Mechanics and its Applications, 2011, 390(6):1131-1138.
[13] 谢丰,程苏琦,陈冬青,张国强. 基于级联失效的复杂网络抗毁性[J]. 清华大学学报(自然科学版),2011, 51(10):1252-1257. Xie F, Cheng S Q, Chen D Q, Zhang G Q. Cascade based attack vulnerability in complex networks[J]. Journal of Tsinghua University (Science and Technology Edition), 2011, 51(10):1252-1257. (in Chinese)
[14] Holme P, Kim B J, Yoon C N, Han S K. Attack vulnerability of complex networks[J]. Physical Review E:Statistical Nonlinear & Soft Matter Physics, 2002, 65(2):056109.
[15] Albert R, Jeong H, Barabasi A L. Error and attack tolerance of complex networks[J]. Nature, 2000, 406(6794).
[16] Jeong H, Mason S P, Barabasi A L, Oltvai Z N. Lethality and centrality in protein networks[J]. Nature, 2001, 411(6833):41-42.
[17] Seaton K A, Hackett L M. Stations, trains and small-world networks[J]. Physica A:Statistical Mechanics & Its Applications, 2003, 339(3):635-644.
[18] Wang B, Ma R N, Wang G. Research on invulnerability of complex networks based on natural connectivity[J]. The Computer Simulation, 2015, 32(8):315-318.
[19] 郭世泽,陆哲明. 复杂网络基础理论[M]. 北京:科学出版社,2012.
[20] 种鹏云,帅斌,尹惠. 基于复杂网络的危险品运输网络抗毁性仿真[J]. 复杂系统与复杂性科学,2014, 11(4):10-18. Zhong P Y, Shuai B, Yin H. Invulnerability simulation analysis of hazardous materials transportation network based on complex network[J]. Complex Systems and Complexity Science, 2014, 11(4):10-18. (in Chinese)
[21] 郑文强,陈云翔,庄骏,蔡忠义. 基于复杂网络理论的航材配送网络抗毁性分析[J]. 火力与指挥控制,2015, 40(2):128-132. Zheng W Q, Chen Y X, Zhuang J, Cai Z Y. Invulnerability analysis of aircraft material distribution network based on complex network theory[J]. Fire Control and Command Control, 2015, 40(2):128-132. (in Chinese)
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