Chinese Journal on Internet of Things ›› 2022, Vol. 6 ›› Issue (3): 71-81.doi: 10.11959/j.issn.2096-3750.2022.00287

• Theory and Technology • Previous Articles     Next Articles

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)

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

CLC Number: 

No Suggested Reading articles found!