A hierarchial, combinatorial-Markov model of solving complex reliability models
ACM '86 Proceedings of 1986 ACM Fall joint computer conference
Power Transmission Control Using Distributed Max Flow
COMPSAC '05 Proceedings of the 29th Annual International Computer Software and Applications Conference - Volume 01
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
SAFECOMP '09 Proceedings of the 28th International Conference on Computer Safety, Reliability, and Security
Integrated cyber-physical fault injection for reliability analysis of the smart grid
SAFECOMP'10 Proceedings of the 29th international conference on Computer safety, reliability, and security
A dynamic Bayesian network based framework to evaluate cascading effects in a power grid
Engineering Applications of Artificial Intelligence
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The advanced electric power grid promises a self-healing infrastructure using distributed, coordinated, power electronics control. One promising power electronics device, the Flexible AC Transmission System (FACTS), can modify power flow locally within a grid. Embedded computers within the FACTS devices, along with the links connecting them, form a communication and control network that can dynamically change the power grid to achieve higher dependability. The goal is to reroute power in the event of transmission line failure. Such a system, over a widespread area, is a cyber-physical system. The overall reliability of the grid is a function of the respective reliabilities of its two major subsystems, namely, the FACTS network and the physical components that comprise the infrastructure. This paper presents a mathematical model, based on the Markov chain imbeddable structure, for the overall reliability of the grid. The model utilizes a priori knowledge of reliability estimates for the FACTS devices and the communications links among them to predict the overall reliability of the power grid.