research-article

Vulnerability analysis and optimization of power communication network

Authors:

Jianguo ZhouAuthors Info & Claims

RACS '19: Proceedings of the Conference on Research in Adaptive and Convergent Systems

Pages 268 - 275

https://doi.org/10.1145/3338840.3355643

Published: 24 September 2019 Publication History

Abstract

This paper aims to analyze, evaluate and optimize the vulnerability of the physical layer, network topology layer and business organization layer in the power communication network. Firstly, the data of a power company in a province are sorted out, and the data are modeled. According to the evaluation parameters of complex network, the paper makes a systematic analysis and points out the problems in the existing network of the province. Based on the real network survey and analysis, the vulnerability assessment system is constructed to evaluate the final results. Finally, according to the results of vulnerability assessment, the NSGA-II multi-objective genetic algorithm is used to achieve the minimum level of vulnerability and the minimum vulnerability of the network, and a set of optimal solutions is obtained to provide the most reasonable solution for the grid staff according to their actual needs.

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Cited By

Atat RIsmail MRefaat SSerpedin EOverbye T(2022)Cascading Failure Vulnerability Analysis in Interdependent Power Communication NetworksIEEE Systems Journal10.1109/JSYST.2021.312869816:3(3500-3511)Online publication date: Sep-2022
https://doi.org/10.1109/JSYST.2021.3128698
Atat RIsmail MRefaat SSerpedin E(2021)On the Impact of Control Center Allocation on Power-Communication Network Vulnerability2021 IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe)10.1109/ISGTEurope52324.2021.9640203(1-6)Online publication date: 18-Oct-2021
https://doi.org/10.1109/ISGTEurope52324.2021.9640203

Index Terms

Vulnerability analysis and optimization of power communication network
1. Hardware
  1. Power and energy
    1. Energy distribution
      1. Power networks

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Published In

cover image ACM Conferences

RACS '19: Proceedings of the Conference on Research in Adaptive and Convergent Systems

September 2019

323 pages

ISBN:9781450368438

DOI:10.1145/3338840

Conference Chair:
Chih-Cheng Hung
Kennesaw State University
,
General Chair:
Qianbin Chen
Chongqing University of Posts and Telecommunications, China
,
Program Chairs:
Xianzhong Xie
Chongqing University of Posts and Telecommunications, China
,
Christian Esposito
University of Salerno, Italy
,
Jun Huang
Chongqing University of Posts and Telecommunications, China
,
Juw Won Park
University of Louisville
,
Qinghua Zhang
Chongqing University of Posts and Telecommunications, China

Copyright © 2019 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 24 September 2019

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RACS '19

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SIGAPP

RACS '19: International Conference on Research in Adaptive and Convergent Systems

September 24 - 27, 2019

Chongqing, China

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RACS '19 Paper Acceptance Rate 56 of 188 submissions, 30%;

Overall Acceptance Rate 393 of 1,581 submissions, 25%

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Cited By

Atat RIsmail MRefaat SSerpedin EOverbye T(2022)Cascading Failure Vulnerability Analysis in Interdependent Power Communication NetworksIEEE Systems Journal10.1109/JSYST.2021.312869816:3(3500-3511)Online publication date: Sep-2022
https://doi.org/10.1109/JSYST.2021.3128698
Atat RIsmail MRefaat SSerpedin E(2021)On the Impact of Control Center Allocation on Power-Communication Network Vulnerability2021 IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe)10.1109/ISGTEurope52324.2021.9640203(1-6)Online publication date: 18-Oct-2021
https://doi.org/10.1109/ISGTEurope52324.2021.9640203

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