Journal Article10.1016/J.IJEPES.2004.05.002
Quantifying transmission reliability margin
TL;DR: A formula which quantifies transmission reliability margin based on transfer capability sensitivities and a probabilistic characterization of the various uncertainties is proposed, which contributes to more accurate and defensible transfer capability calculations.
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About: This article is published in International Journal of Electrical Power & Energy Systems. The article was published on 01 Nov 2004. The article focuses on the topics: Margin (machine learning) & Reliability (statistics).
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Citations
Probabilistic assessment of available transfer capability considering spatial correlation in wind power integrated system
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An Affine Arithmetic-Based Method for Voltage Stability Assessment of Power Systems With Intermittent Generation Sources
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Determination of Transmission Reliability Margin Using Parametric Bootstrap Technique
TL;DR: In this paper, a parametric bootstrap technique is used to randomly generate a bootstrap sample of ATCs with large uncertainty selected at a certain percentage of bootstrap confidence interval.
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Risk Estimation of Critical Time to Voltage Instability Induced by Saddle-Node Bifurcation
TL;DR: In this article, the authors present a method for estimating the probability distribution of the time to voltage instability for a power system with uncertain future loading scenarios, using a distance from the predicted load-path to the set of voltage unstable operating points.
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Determination of probabilistic risk of voltage collapse using radial basis function (RBF) network
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Contingency ranking for voltage collapse via sensitivities from a single nose curve
TL;DR: In this paper, the change in the loading margin to voltage collapse when line outages occur is estimated, and the results show the effective ranking of contingencies and the very fast computation of the linear estimates.