Research on Power Communication Network Planning Based on Information Transmission Reachability Against Cyber-Attacks

The deep integration of computing, communication, and information technologies not only improves the operation level of the power grid, but also brings the threat of cyber-attacks on the power grid. This article studies power communication network topology planning problem considering both the norma...

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Bibliographic Details
Published in:IEEE systems journal 2021-06, Vol.15 (2), p.2883-2894
Main Authors: Wu, Yingjun, Chen, Jinfan, Ru, Yingtao, Xu, Hao, Roger, Mbonyineza, Ni, Ming
Format: Article
Language:English
Subjects:
Algorithms
Communication
Communication networks
Communications networks
Cyber-attack
Cybersecurity
Electric power grids
Game theory
Information processing
Network topologies
Network topology
Planning
power communication network
Power grids
reachability
Topology
topology planning
Uncertainty
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Summary:The deep integration of computing, communication, and information technologies not only improves the operation level of the power grid, but also brings the threat of cyber-attacks on the power grid. This article studies power communication network topology planning problem considering both the normal operation level and the ability to against cyber-attacks from the perspective of information transmission reachability. First, by analyzing the game relationship between ensuring the normal operation level and defending against cyber-attacks, a framework of power communication network topology planning based on game theory is proposed. In this framework, the traditional planner tries to maximize the information transmission reachability of normal operation, while the anti-cyber-attack planner wants to minimize the information transmission reachability of cyber-attacks. Second, considering whether there are uncertainties in the planning, a deterministic topology planning model is proposed for the traditional planner, and an uncertainty topology planning model is proposed for the anti-cyber-attack planner. Third, considering the competition between the two planners, an improved particle swarm algorithm is introduced to solve the models. Finally, a standard example and a practical power communication network are used to verify the correction and effectiveness of the method.
ISSN:1932-8184
1937-9234
DOI:10.1109/JSYST.2020.3026997