Power Transmission Control Using Distributed Max Flow
COMPSAC '05 Proceedings of the 29th Annual International Computer Software and Applications Conference - Volume 01
On a Modeling Framework for the Analysis of Interdependencies in Electric Power Systems
DSN '07 Proceedings of the 37th Annual IEEE/IFIP International Conference on Dependable Systems and Networks
HASE '07 Proceedings of the 10th IEEE High Assurance Systems Engineering Symposium
The Advanced Electric Power Grid: Complexity Reduction Techniques for Reliability Modeling
SAFECOMP '08 Proceedings of the 27th international conference on Computer Safety, Reliability, and Security
Security and Privacy Challenges in the Smart Grid
IEEE Security and Privacy
SAFECOMP '09 Proceedings of the 28th International Conference on Computer Safety, Reliability, and Security
Information Modelling and Simulation in Large Interdependent Critical Infrastructures in IRRIIS
Critical Information Infrastructure Security
Empirical Findings on Critical Infrastructure Dependencies in Europe
Critical Information Infrastructure Security
DIESIS: an interoperable European federated simulation network for critical infrastructures
SIW '09 Proceedings of the 2009 SISO European Simulation Interoperability Workshop
Reliability modeling for the advanced electric power grid
SAFECOMP'07 Proceedings of the 26th international conference on Computer Safety, Reliability, and Security
Perceptual control architecture for cyber-physical systems in traffic incident management
Journal of Systems Architecture: the EUROMICRO Journal
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The term "Smart Grid" broadly describes emerging power systems whose physical operation is managed by significant intelligence. The cyber infrastructure providing this intelligence is composed of power electronics devices that regulate the flow of power in the physical portion of the grid. Distributed software is used to determine the appropriate settings for these devices. Failures in the operation of the Smart Grid can occur due to malfunctions in physical or cyber (hardware or software) components. This paper describes the use of fault injection in identifying failure scenarios for the Smart Grid. Software faults are injected to represent failures in the cyber infrastructure. Physical failures are concurrently represented, creating integrated cyber-physical failure scenarios that differentiate this work from related studies. The effect of these failure scenarios is studied in two cases: with and without fault detection in the distributed software. The paper concludes by utilizing the information gained to refine and improve the accuracy of the quantitative reliability model presented in our earlier work.