Smart Grid communication and information technologies for cyber security, data privacy, and policy issues

Kumar, G.V.S. Raj; Prasad, Amritha; Padma, B.; Koti, B. Raj

doi:10.1016/b978-0-323-85626-3.00008-9

Cited by 3 publications

(1 citation statement)

References 19 publications

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“…In a traditional power system where the communication devices have not been extensively deployed, the coupling strength could be small. However, with the emergence of smart grid technologies, information and communication devices have been deeply embedded throughout the power system [34]. As the power grid becomes increasingly modernized, the PN and CN have been converging rapidly [35].…”

Section: Percolation‐based Failure Propagation Simulatormentioning

confidence: 99%

Vulnerability assessment of cyber‐physical power systems considering failure propagation: A percolation‐based approach

Tu,

Liao,

et al. 2023

IET Generation Trans & Dist

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Due to the increasing interdependencies of power networks (PNs) and communication networks (CNs) in cyber‐physical power systems (CPPSs), the interdependent networks tend to be more vulnerable since failures could propagate recursively between the two networks. However, there is little study on the vulnerability analysis of CPPSs considering unexpected disruptive events or adversarial attacks. Despite being a useful tool for evaluating cascading failures in interdependent networks, the topology‐based percolation theory does not apply to CPPSs as neglecting the propagation dynamics and power flow characteristics. To this end, this paper improves the percolation theory by modelling the failure propagation mechanism to assess the vulnerability of CPPSs. Firstly, a percolation‐based failure propagation simulator (PFPS) is developed, wherein the virus‐caused propagation dynamics of the cyber layer, flow‐based failure propagation mode of the physical layer, and multi‐state interdependences between the cyber layer and physical layer are incorporated. By considering the nodal states and flow‐related operating states, percolation equations and termination conditions of PFPS are formulated. Based on the calculation results of PFPS, metrics in terms of topological integrity, power supply reliability, and failure probability are constructed to quantify both system and component vulnerability. The effectiveness of the proposed method is validated by the test CPPSs.

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Section: Percolation‐based Failure Propagation Simulatormentioning

confidence: 99%