2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) 2016
DOI: 10.1109/pmaps.2016.7764089
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On improving data and models on corrective control failures for use in probabilistic reliability management

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Cited by 4 publications
(9 citation statements)
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“…In contrast to [2], the present paper focuses on the consequence analysis part of the vulnerability analysis and employs more detailed dynamic simulations. Event trees are also proposed for modelling failure of corrective actions (including SPSs) in [5], which highlights the importance of considering such failures. It has previously been demonstrated in [6] that modelling of corrective actions greatly affects the estimated consequence of contingencies.…”
Section: Vulnerability Analysismentioning
confidence: 99%
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“…In contrast to [2], the present paper focuses on the consequence analysis part of the vulnerability analysis and employs more detailed dynamic simulations. Event trees are also proposed for modelling failure of corrective actions (including SPSs) in [5], which highlights the importance of considering such failures. It has previously been demonstrated in [6] that modelling of corrective actions greatly affects the estimated consequence of contingencies.…”
Section: Vulnerability Analysismentioning
confidence: 99%
“…Following e.g. [2], [5], an event tree can be constructed showing possible combinations of barriers that may or may not operate successfully following an HVDC contingency, as shown in Fig. 3.…”
Section: Consequence Analysismentioning
confidence: 99%
“…This module can take as input electrotechnical parameters describing the power system and its operational limits as well as parameters describing the actions and responses in the system. For instance, if the analysis method is based on an event tree accounting for corrective action failures (Vadlamudi et al 2016), input parameters can be conditional probabilities determining the probability of different sequences of events. The restoration phase module represents the restoration process.…”
Section: Decomposition In Quantitative Analysismentioning
confidence: 99%
“…The framework may guide the analyst in the development and application of methods for quantitative analysis and for considering different types of uncertainties. 2012), corrective actions (Vadlamudi et al 2016), and valuation of the societal impact. Different approaches and methodologies exist for quantitatively analysing these events (Gjerde et al 2011), including methods of identifying unwanted events, causal analysis, consequence analysis, and risk and vulnerability evaluation.…”
mentioning
confidence: 99%
“…In practice, the realization of hidden failures in protection, controls and communications only after a single initiating disturbance is a well documented factor in many observed blackouts [8] which also suggests that the effectiveness of post-contingency corrective controls should be considered as uncertain. Reference [9] provides a framework for modeling corrective control failure in the context of reliability assessment studies as well as a comprehensive discussion of necessary improvements in terms of data. Further, in [10] we presented a comparative analysis on the relevance of corrective control failure probability and risk under the N-1 operational regime.…”
Section: Introductionmentioning
confidence: 99%