A PMU-based risk assessment framework for power control systems
Abstract
Cyber threats are serious concerns for power systems. This paper proposes a risk assessment framework to enhance the resilience of power systems against cyber attacks. The Duality Element Relative Fuzzy Evaluation Method (DERFEM) is used to evaluate quantitatively security vulnerabilities within cyber systems of power systems; the Attack Graph is employed to identify intrusion scenarios that exploit multiple vulnerabilities; an System Stability Monitoring and Response System (SSMARS) is developed to monitor the impact of intrusion scenarios on power system dynamics in real time. SSMARS is a novel PMU application for the Smart Grid. It is designed be implemented in a RTO/ISO control center to assess and enhance power system security on line. SSMARS calculates the Conditional Lyapunov Exponents (CLEs) in real time based on the Phasor Measurement Unit (PMU) data. Power system stability is predicted through the values of CLEs. Control actions based on CLEs are suggested if power system instability is likely to happen. The effectiveness of SSMARS is illustrated with the IEEE 39 bus system model.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In Yan et al. (2013), the Duality Element Relative Fuzzy Evaluation Method (DERFEM) is exploited for quantifying the severity of vulnerabilities.
“In Yan et al. (2013), the Duality Element Relative Fuzzy Evaluation Method (DERFEM) is exploited for quantifying the severity of vulnerabilities.”
From A review of cyber security risk assessment methods for SCADA systems (2016) · cites this paper as Yan et al. (2013)
Cited by
Sorted by citations
A review of cyber security risk assessment methods for SCADA systems
Cherdantseva, Y., Burnap, P., Blyth, A., Eden, P., Jones, K., Soulsby, H., & Stoddart, K. (2016) · Computers & Security · doi:10.1016/j.cose.2015.09.009 · Cited by 606 · see citing works
Ahmadi-Assalemi, G., Al-Khateeb, H., Epiphaniou, G., & Aggoun, A. (2022) · IEEE Internet of Things Journal · doi:10.1109/jiot.2022.3144127 · Cited by 34 · see citing works
- Authors
- Yan, J., Govindarasu, M., Liu, C.-C., & Vaidya, U.
- Affiliations
- Iowa State University (US)
- University College Dublin (IE)
- Venue
- 2013 IEEE Power & Energy Society General Meeting
- Publisher
- IEEE
- Published
- 2013
- Pages
- 1-5
- ISSN
- 1932-5517 (ISSN-L)
- OpenAlex
- W2020657799
- Cited by
- 19
- References
- 0
- Citations by year
- 2026: 2 · 2024: 1 · 2022: 2 · 2021: 2 · 2019: 3 · 2018: 2 · 2017: 3 · 2016: 1 · 2015: 2 · 2014: 1
- FWCI
- 1.82
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- IEEE Power Engineering Society General Meeting (publishedVersion)
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Smart Grid Security and Resilience
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Power System Optimization and Stability
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Smart Grid and Power Systems
- Keywords
- power system cybersecurity, risk assessment, phasor measurement units, attack graphs, conditional Lyapunov exponents, security vulnerabilities, smart grid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
