Evaluation of Critical Node Groups in Cyber-Physical Power Systems Based on Pinning Control Theory
Blackouts have severely damaged cyber-physical power systems over the years, resulting in malfunctions that have rapidly spread within the electrical network. Selecting a set of critical nodes for human control can avoid similar situations. We propose a critical node evaluation method based on pinni...
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Format: | Article |
Language: | English |
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IEEE
2022-01-01
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Series: | IEEE Access |
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Online Access: | https://ieeexplore.ieee.org/document/9768822/ |
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author | Yan Li Shiqi Zhang Tianqi Xu Mengmeng Zhu Zhaolei He |
author_facet | Yan Li Shiqi Zhang Tianqi Xu Mengmeng Zhu Zhaolei He |
author_sort | Yan Li |
collection | DOAJ |
description | Blackouts have severely damaged cyber-physical power systems over the years, resulting in malfunctions that have rapidly spread within the electrical network. Selecting a set of critical nodes for human control can avoid similar situations. We propose a critical node evaluation method based on pinning control theory that uses a minimum nonzero eigenvalue of a modified Laplacian matrix as the evaluation index. Computational complexity can be markedly reduced using matrix analysis theory to sort screening conditions. Multiple nodes are controlled to form critical node groups in the directed weighted cyber-physical power system. We can thus more accurately find an optimal set of controlled nodes compared with other critical node evaluation strategies. Through theoretical and simulated verifications, we conclude that the addition of two nodes, which are used as active and standby dispatching centers of the communication network, is more effective and can result in a cyber-physical power system with better connectivity. |
first_indexed | 2024-04-14T04:48:36Z |
format | Article |
id | doaj.art-cbd2ae3fae054973924a27f19c8faf9c |
institution | Directory Open Access Journal |
issn | 2169-3536 |
language | English |
last_indexed | 2024-04-14T04:48:36Z |
publishDate | 2022-01-01 |
publisher | IEEE |
record_format | Article |
series | IEEE Access |
spelling | doaj.art-cbd2ae3fae054973924a27f19c8faf9c2022-12-22T02:11:21ZengIEEEIEEE Access2169-35362022-01-0110489364894710.1109/ACCESS.2022.31726869768822Evaluation of Critical Node Groups in Cyber-Physical Power Systems Based on Pinning Control TheoryYan Li0https://orcid.org/0000-0002-2177-3964Shiqi Zhang1Tianqi Xu2Mengmeng Zhu3Zhaolei He4Key Laboratory of Cyber-Physical Power System of Yunnan Colleges and Universities, Yunnan Minzu University, Kunming, ChinaKey Laboratory of Cyber-Physical Power System of Yunnan Colleges and Universities, Yunnan Minzu University, Kunming, ChinaKey Laboratory of Cyber-Physical Power System of Yunnan Colleges and Universities, Yunnan Minzu University, Kunming, ChinaIntelligent Perception Innovation Studio in Power Science Research Institute, Yunnan Power Grid Corporation Ltd., Kunming, ChinaMeasurement Verification Department of Measurement Center, Yunnan Power Grid Co., Ltd., Kunming, ChinaBlackouts have severely damaged cyber-physical power systems over the years, resulting in malfunctions that have rapidly spread within the electrical network. Selecting a set of critical nodes for human control can avoid similar situations. We propose a critical node evaluation method based on pinning control theory that uses a minimum nonzero eigenvalue of a modified Laplacian matrix as the evaluation index. Computational complexity can be markedly reduced using matrix analysis theory to sort screening conditions. Multiple nodes are controlled to form critical node groups in the directed weighted cyber-physical power system. We can thus more accurately find an optimal set of controlled nodes compared with other critical node evaluation strategies. Through theoretical and simulated verifications, we conclude that the addition of two nodes, which are used as active and standby dispatching centers of the communication network, is more effective and can result in a cyber-physical power system with better connectivity.https://ieeexplore.ieee.org/document/9768822/Cyber-physical power systemcritical node groupLaplace matrixpinning control theory |
spellingShingle | Yan Li Shiqi Zhang Tianqi Xu Mengmeng Zhu Zhaolei He Evaluation of Critical Node Groups in Cyber-Physical Power Systems Based on Pinning Control Theory IEEE Access Cyber-physical power system critical node group Laplace matrix pinning control theory |
title | Evaluation of Critical Node Groups in Cyber-Physical Power Systems Based on Pinning Control Theory |
title_full | Evaluation of Critical Node Groups in Cyber-Physical Power Systems Based on Pinning Control Theory |
title_fullStr | Evaluation of Critical Node Groups in Cyber-Physical Power Systems Based on Pinning Control Theory |
title_full_unstemmed | Evaluation of Critical Node Groups in Cyber-Physical Power Systems Based on Pinning Control Theory |
title_short | Evaluation of Critical Node Groups in Cyber-Physical Power Systems Based on Pinning Control Theory |
title_sort | evaluation of critical node groups in cyber physical power systems based on pinning control theory |
topic | Cyber-physical power system critical node group Laplace matrix pinning control theory |
url | https://ieeexplore.ieee.org/document/9768822/ |
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