Vulnerability assessment of a power transmission network employing complex network theory in a resilience framework

Bose, Dipanjan; Chanda, Chandan Kumar; Chakrabarti, A.

doi:10.1007/s00542-020-04785-x

Cited by 25 publications

(30 citation statements)

References 19 publications

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Section: Introductionmentioning

confidence: 99%

“…In recent years, complex network theory has been used to analyse vulnerabilities in OT power networks [ 8 , 12 , 13 , 14 , 15 , 16 ]. Complex network indices, such as betweenness and net-ability, have been used to assess OT network vulnerabilities [ 15 , 17 ]. The work presented by [ 18 ] proposes an electrical network model, based on complex network theory, to identify lines that would affect the OT network’s robustness in the event of a loss or disconnection.…”

Section: Introductionmentioning

confidence: 99%

“…It is also necessary to model the interaction between them. In [ 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 ], traditional vulnerability assessment is only based on the power grid; however, the detection of vulnerabilities in power networks is not sufficient to analyse vulnerabilities in smart grids which are also composed of communication networks. Moreover, to highlight hidden interdependencies between power and ICT networks it is also necessary to include the interconnection links between power nodes and communication nodes.…”

Section: Introductionmentioning

confidence: 99%

“…It can be concluded through this comparison that interdependencies between power and ICT networks in smart grids are not considered in the literature [ 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 ]. These interdependencies represent one of the challenges in smart grids modelling [ 3 ].…”

Section: Introductionmentioning

confidence: 99%

“…The interconnected model encompasses power networks, ICT networks, and the interconnection between power-ICT networks. It should be emphasized that the interconnected and heterogeneous nature of smart grids is not considered in traditional smart grids vulnerability assessment where only power network vulnerability is analysed, and neither ICT network nor power-ICT interconnection is considered [ 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 ]. We use multilayer complex network theory to deal with the complexity and heterogeneity of cyber-physical systems considered as interconnected and heterogeneous systems.…”

Section: Introductionmentioning

confidence: 99%

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Cyber-Physical Vulnerability Assessment in Smart Grids Based on Multilayer Complex Networks

Alonso

Turanzas

Amarís

et al. 2021

Sensors

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In the last decade, the main attacks against smart grids have occurred in communication networks (ITs) causing the disconnection of physical equipment from power networks (OTs) and leading to electricity supply interruptions. To deal with the deficiencies presented in past studies, this paper addresses smart grids vulnerability assessment considering the smart grid as a cyber-physical heterogeneous interconnected system. The model of the cyber-physical system is composed of a physical power network model and the information and communication technology network model (ICT) both are interconnected and are interrelated by means of the communication and control equipment installed in the smart grid. This model highlights the hidden interdependencies between power and ICT networks and contains the interaction between both systems. To mimic the real nature of smart grids, the interconnected heterogeneous model is based on multilayer complex network theory and scale-free graph, where there is a one-to-many relationship between cyber and physical assets. Multilayer complex network theory centrality indexes are used to determine the interconnected heterogeneous system set of nodes criticality. The proposed methodology, which includes measurement, communication, and control equipment, has been tested on a standardized power network that is interconnected to the ICT network. Results demonstrate the model’s effectiveness in detecting vulnerabilities in the interdependent cyber-physical system compared to traditional vulnerability assessments applied to power networks (OT).

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