CPES-QSM: A Quantitative Method Towards the Secure Operation of Cyber-Physical Energy Systems

Ospina, Juan; Venkataramanan, Venkatesh; Konstantinou, Charalambos

doi:10.1109/jiot.2022.3210402

CPES-QSM: A Quantitative Method Towards the Secure Operation of Cyber-Physical Energy Systems

Journal Article · Wed Sep 28 00:00:00 EDT 2022 · IEEE Internet of Things Journal (Online)

DOI:https://doi.org/10.1109/jiot.2022.3210402· OSTI ID:1901938

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Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
National Renewable Energy Laboratory (NREL), Golden, CO (United States)
King Abdullah University of Science and Technology (KAUST), Thuwal (Saudi Arabia)

Power systems are evolving into cyber-physical energy systems (CPES) mainly due to the integration of modern communication and Internet-of-Things (IoT) devices. CPES security evaluation is challenging since the physical and cyber layers are often not considered holistically. Existing literature focuses on only optimizing the operation of either the physical or cyber layer while ignoring the interactions between them. This paper proposes a metric, the Cyber-Physical Energy System Quantitative Security Metric (CPES-QSM), that quantifies the interaction between the cyber and physical layers across three domains: electrical, cyber-risk, and network topology. A method for incorporating the proposed cyber-metric into operational decisions is also proposed by formulating a cyber-constrained AC optimal power flow (C-ACOPF) that considers the status of all the CPES layers. The C-ACOPF considers the vulnerabilities of physical and cyber networks by incorporating factors such as voltage stability, contingencies, graph-theory, and IoT cyber risks, while using a multi-criteria decision-making technique. We note that simulation studies are conducted using standard IEEE test systems to evaluate the effectiveness of the proposed metric and the C-ACOPF formulation.

View Accepted Manuscript (DOE)

Research Organization:: National Renewable Energy Laboratory (NREL), Golden, CO (United States)

Sponsoring Organization:: USDOE National Renewable Energy Laboratory (NREL)

Grant/Contract Number:: AC36-08GO28308

OSTI ID:: 1901938

Alternate ID(s):: OSTI ID: 1922774

Report Number(s):: NREL/JA-5R00-84691; MainId:85464; UUID:10882039-6973-475f-ba5f-94f00bfb334e; MainAdminID:68149

Journal Information:: IEEE Internet of Things Journal (Online), Journal Name: IEEE Internet of Things Journal (Online) Journal Issue: 9 Vol. 10; ISSN 2327-4662

Publisher:: IEEECopyright Statement

Country of Publication:: United States

Language:: English

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24 POWER TRANSMISSION AND DISTRIBUTION
97 MATHEMATICS AND COMPUTING
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