Impact of inter-network assortativity on robustness against cascading failures in cyber–physical power systems

Liu, Hao; Chen, Xin; Huo, Long; Zhang, Yadong; Niu, Chunming

doi:10.1016/j.ress.2021.108068

Cited by 18 publications

(9 citation statements)

References 55 publications

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“…Paper [23] developed a model using a dynamic routing algorithm [24] to describe the information packet transmission in the cyber network, and simultaneously applied the dynamic load flow model to describe the power grid. Research [25] provided an optimised load-shedding policy to simulate the power-loss failures, out-of-control failures, and data-blocking (POD) failures in the process of cascade events. The research of ref.…”

Section: Cyber and Power Flow Calculationmentioning

confidence: 99%

“…When data need to be sent from node 3 to node 4, the information route is across two zones. Firstly, data are sent to regional control centre node 25 via the information route (3,25) within zone 2. After that, data are sent to the regional control centre node 11 via the information route (11,25) which is across zone 2 and 4.…”

Section: Adjacency Matrixmentioning

confidence: 99%

“…Firstly, data are sent to regional control centre node 25 via the information route (3,25) within zone 2. After that, data are sent to the regional control centre node 11 via the information route (11,25) which is across zone 2 and 4. Then data are sent to node 4 through information route (4, 11) within zone 4, and this round-trip Route 2 is completed.…”

Section: Adjacency Matrixmentioning

confidence: 99%

“…Figure 6 presents an example of information routing problem in national control mode of communication networks in IEEE-39 test case. Route 3 starts at node 3 and goes through the information route (3,25) to node 25 of a regional control centre, then through the information route (25,16) to the node 16 of national control centre. The information is centrally processed in node 16 of national control centre, and the generation dispatch instructions are sent back to node 3 via the same Route 3.…”

Section: Adjacency Matrixmentioning

confidence: 99%

See 3 more Smart Citations

Virtual‐physical power flow method for cyber‐physical power system contingency and vulnerability assessment

Qiu,

Zhang,

Zhou

et al. 2023

IET Smart Grid

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Traditional power systems have evolved into cyber‐physical power systems (CPPS) with the integration of information and communication technologies. CPPS can be considered as a typical hierarchical control system that can be divided into two parts: the power grid and the communication network. CPPS will face new vulnerabilities which can have network contingencies and cascading consequences. To address this challenge, a virtual‐physical power flow (VPPF) method is proposed for the vulnerability assessment of CPPS. The proposed method contains dual power flows, one is to simulate a virtual power flow from decision‐making units, and the other is to simulate a physical power flow. In addition, a novel hierarchical control model is proposed that includes four layers of CPPS: the physical layer, the secondary device layer, the regional control layer, and the national control layer. The model is based on IEEE test cases using data and structures provided by MATPOWER. Denial‐of‐service (DoS) and false data injection (FDI) are simulated as two major cyber‐attacks in CPPS. A novel vulnerability index is proposed that consists of system voltage, network latency, and node betweenness as three key indicators. This is a comprehensive and adaptive index because it encompasses both cyber and physical system characteristics and can be applied to several types of cyber‐attacks. The results of the vulnerability assessment are compared in national and regional control structures of CPPS to evaluate the vulnerability of cyber‐physical nodes.

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Section: Cyber and Power Flow Calculationmentioning

confidence: 99%

Section: Adjacency Matrixmentioning

confidence: 99%

Section: Adjacency Matrixmentioning

confidence: 99%

Section: Adjacency Matrixmentioning

confidence: 99%

See 2 more Smart Citations

Virtual‐physical power flow method for cyber‐physical power system contingency and vulnerability assessment

Qiu,

Zhang,

Zhou

et al. 2023

IET Smart Grid

View full text Add to dashboard Cite

show abstract

“…[44], cyber and/or physical attacks [47]- [49], [51], [55], etc. Some research works concentrate on a type of asset whatever its granularity (healthcare [44], civil aviation [46], power systems [50], [51], [53], [56], port infrastructure [48], airport infrastructure [57], supply chain [56], ADS-B system [46], etc.). However, to our knowledge, no research work is dedicated to the definition of an approach for cyber or physical incident propagation in a healthcare infrastructure as a whole.…”

Section: B Incident Propagation Models and Approachesmentioning

confidence: 99%

Semantic-Based Approach for Cyber-Physical Cascading Effects Within Healthcare Infrastructures

et al. 2022

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This paper presents a framework for integrated cyber-physical security propagation study within critical infrastructures (hospitals use case). The framework includes an ontology for the semantic modeling of cyber-physical security. The impact propagation approach relies on propagation rules inferring the cascading effects of security incidents occurring in hospitals. An impact score module allows evaluating impacts' severity, considering implemented protection measures. This work is part of the European project SAFECARE, which provides a set of tests and demonstration sessions in partnership with 3 hospitals in Europe. During these tests, we measured effectiveness and efficiency metrics, as well as end users' satisfaction feedback. Experiments performed on real attack scenarios, show high effectiveness rates and a common agreement from end-users about the added value of the solution to enhance risks analysis practice and increase hospitals mitigation strategies efficiency.

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Robustness analysis of large scientific facilities development network with different cascading failure modes

Zhong,

Liu

2024

Computers & Industrial Engineering

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Impact of inter-network assortativity on robustness against cascading failures in cyber–physical power systems

Cited by 18 publications

References 55 publications

Virtual‐physical power flow method for cyber‐physical power system contingency and vulnerability assessment

Virtual‐physical power flow method for cyber‐physical power system contingency and vulnerability assessment

Semantic-Based Approach for Cyber-Physical Cascading Effects Within Healthcare Infrastructures

Robustness analysis of large scientific facilities development network with different cascading failure modes

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