物联网学报 ›› 2022, Vol. 6 ›› Issue (3): 71-81.doi: 10.11959/j.issn.2096-3750.2022.00287

• 理论与技术 • 上一篇    下一篇

面向配电网的场域网弹性表征和评估模型

肖芳1, 杨淑艳2, 文博1, 朱晓荣1   

  1. 1 南京邮电大学通信与信息工程学院,江苏 南京 210003
    2 国家无线电监测中心深圳监测站,广东 深圳 518116
    3 南京熊猫电子股份有限公司,江苏 南京 210018
  • 修回日期:2022-07-03 出版日期:2022-08-05 发布日期:2022-08-08
  • 作者简介:肖芳(1999- ),女,南京邮电大学通信与信息工程学院硕士生,主要研究方向为工业互联网、复杂网络、网络拓扑演化机理等
    杨淑艳(1967- ),女,国家无线电监测中心深圳监测站高级工程师,主要研究方向为无线传感网的频谱分析
    文博(1980- ),男,南京熊猫电子股份有限公司规划科技部部长,主要研究方向为智能制造、区块链等
    朱晓荣(1977- ),女,博士,南京邮电大学大学教授、博士生导师,主要研究方向为移动通信、工业互联网、大规模复杂网络等
  • 基金资助:
    国家自然科学基金资助项目(61871237);国家自然科学基金资助项目(92067101);江苏省重点研发计划(BE2021013-3);江苏省重点研发计划(BE2020084-3)

Resilience characterization and evaluation model of field area network for the power distribution network

Fang XIAO1, Shuyan YANG2, Bo WEN1, Xiaorong ZHU1   

  1. 1 School of Communications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
    2 Shenzhen Monitoring Station of National Radio Monitoring Center, Shenzhen 518116, China
    3 Nanjing Panda Electronics Co., Ltd., Nanjing 210018, China
  • Revised:2022-07-03 Online:2022-08-05 Published:2022-08-08
  • Supported by:
    The National Natural Science Foundation of China(61871237);The National Natural Science Foundation of China(92067101);The Key Research and Development Program of Jiangsu Province(BE2021013-3);The Key Research and Development Program of Jiangsu Province(BE2020084-3)

摘要:

为分析配电网中场域网(FAN, field area network)的健壮性和可靠性,提出了一种可量化的网络弹性表征和评估模型。经过分析,从网络连通性、鲁棒性、冗余性3个方面定义了可量化的弹性表征指标,然后通过3个弹性指标的加权和计算网络总弹性。通过模拟节点随机失效和恶意攻击,评估 FAN 的弹性性能;通过模拟测试单个节点故障,评估网络弹性受不同节点故障影响的差异,从而找到网络中弹性薄弱点。将该弹性表征和评估模型推广到一般网络拓扑,使用BA无标度网络和ER随机网络进行仿真实验,实验结果验证了该模型的普适性。

关键词: 场域网, 弹性, 评估模型, 恶意攻击, 随机失效

Abstract:

To analyze the robustness and reliability of field area network (FAN) in the power distribution network, a quantifiable network resilience characterization and evaluation model was proposed.The elasticity indicator was defined from network connectivity, robustness and redundancy, and the total network elasticity was calculated by the weighted sum.The resilience performance of FAN was evaluated by simulating random failures and malicious attacks.A single node failure was simulated and tested to evaluate the difference in network resilience a affected by different node failures and find the weak points of resilience in the network.The elastic characterization and evaluation model was extended to general network topologies, and simulation experiments were carried out using BA scale-free network and ER random network.The experimental results demonstrate the universality of the model.

Key words: FAN, resilience, evaluation model, malicious attack, random failure

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