Probabilistic assessment of transient stability considering the uncertainty of the demand and risk management

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Marlon Chamba
https://orcid.org/0000-0001-6843-7151
Walter Vargas
Jaime Cepeda
https://orcid.org/0000-0002-2488-6796

Abstract

This paper presents a methodological proposal to evaluate the impact of electrical demand uncertainty regarding power system transient stability, considering the probabilistic analysis of the Critical Clearing Time (CCT).


A probabilistic analysis of transient stability allows establishing a probability density function (PDF) of the CCT behavior. This PDF is calculated by means of Monte Carlo simulations in which the CCT is evaluated for each generated scenario and contingency.


The bisection method is applied for calculating the CCT. This method consists in iteratively modifying the fault duration time (

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How to Cite
Chamba, M. ., Vargas, W. ., & Cepeda, J. . (2018). Probabilistic assessment of transient stability considering the uncertainty of the demand and risk management. Revista Técnica "energía", 15(1), PP. 1–10. https://doi.org/10.37116/revistaenergia.v15.n1.2018.318
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