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Communication Dans Un Congrès Année : 2014

Global Sensitivity Analysis of Power Systems Components -Markov Reliability Models

Résumé

Markov models are often used to describe the behaviors of power systems and components -like generating units, transformers and others -which show stochastic behaviors due to failure occurrences, environmental and operational conditions. In this paper, Global Sensitivity Analysis techniques are applied to consider the simultaneous effect of transition rates (TR) variations on the state probabilities (PS). Importance measures are determined for steady-state and transient probabilities for a multi-state generating uni
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Dates et versions

hal-04366321 , version 1 (28-12-2023)

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Claudio M. Rocco, Enrico Zio. Global Sensitivity Analysis of Power Systems Components -Markov Reliability Models. 2nd International Conference on Vulnerability and Risk Analysis and Management, ICVRAM 2014 and the 6th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2014, Jul 2014, unknown, France. pp.1514-1522, ⟨10.1061/9780784413609.152⟩. ⟨hal-04366321⟩
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