eCite Digital Repository

An effective reliability evaluation method for power communication network based on community structure

Citation

Li, Q and Cao, Z and Tanveer, M and Pandy, HM and Wang, C, An effective reliability evaluation method for power communication network based on community structure, IEEE Transactions on Industry Applications, 56, (4) pp. 4489-4500. ISSN 0093-9994 (2020) [Refereed Article]


Preview
PDF
Not available
2Mb
  

Copyright Statement

Copyright 2019 IEEE

DOI: doi:10.1109/TIA.2019.2954272

Abstract

The reliability evaluation of the power communication network is beneficial for the improvement of the stable operation of the power system and the robustness of the power grid. However, the existing reliability evaluation models of the power communication network cannot meet the current situation of timeliness performance, due to rapidly increasing scale and complexity of information across varying services. In this study, we used the complex network theory to analyze the structure of the power communication network. Then we constructed the evaluation index of node (link) reliability of the power communication network based on community reliability. Compared with the traditional reliability indexes, our index not only considers the influence of the environment of the node (link) on the single structure of the power communication network, but also possess the reliability evaluation rate of the node (link), which have the opportunities for improving the performance of the reliability evaluation of the wide-area power communication network. To verify the rationality of the index, we developed random, low reliability and high-betweenness deliberate attacks to attack the designated node (link), and compared the network efficiency before and after the attack. Based on the simulation results, it can verify the rationality and superiority of our proposed evaluation index.

Item Details

Item Type:Refereed Article
Keywords:Community structure, complex network, power communication network, reliability, security
Research Division:Engineering
Research Group:Communications engineering
Research Field:Network engineering
Objective Division:Information and Communication Services
Objective Group:Communication technologies, systems and services
Objective Field:Communication technologies, systems and services not elsewhere classified
UTAS Author:Cao, Z (Dr Zehong Cao)
ID Code:135837
Year Published:2020
Web of Science® Times Cited:2
Deposited By:Information and Communication Technology
Deposited On:2019-11-16
Last Modified:2022-08-12
Downloads:0

Repository Staff Only: item control page