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Article . 2025
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IEEE Transactions on Smart Grid
Article . 2025 . Peer-reviewed
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Cyber-Physical Interdependence for Power System Operation and Control

Authors: Ioannis Zografopoulos; Ankur Srivastava; Charalambos Konstantinou; Junbo Zhao; Amir Abiri Jahromi; Astha Chawla; Bang Nguyen; +15 Authors

Cyber-Physical Interdependence for Power System Operation and Control

Abstract

This paper summarizes the technical endeavors undertaken by the Task Force (TF) on Cyber-Physical Interdependence for Power System Operation and Control. The TF was established to investigate the cyber-physical interdependence of critical power system elements and their influence on the operation and control of energy systems. State-of-the-art analysis techniques, including co-simulation and digital twin technologies, are employed to address various layers of interdependence between cyber and physical systems, facilitating the identification of potential threats and vulnerabilities. The paper examines prospective trajectories for resilient cyber-physical systems and outlines the educational and workforce training imperatives for addressing cybersecurity threats in contemporary power systems. Furthermore, concluding remarks and future recommendations are provided to mitigate the inherent vulnerabilities within the extensively interoperable grid infrastructure.

Countries
Italy, Denmark
Keywords

Cybersecurity, cybersecurity, Communication, Power Systems Operations, Power Systems, interdependency, stability, /dk/atira/pure/sustainabledevelopmentgoals/industry_innovation_and_infrastructure; name=SDG 9 - Industry, Innovation, and Infrastructure, renewable energy, cyber-physical power system, monitoring, Cyber-Physical System, operation and control, co-simulation, Power Electronics, resilience

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
Related to Research communities
Energy Research