Probabilistic assessment of transient stability considering the uncertainty of the demand and risk management | Revista Técnica "energía"

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Published: Jul 31, 2018

DOI: https://doi.org/10.37116/revistaenergia.v15.n1.2018.318

Keywords:

Optimal power Flow, Uncertainty, Contingencies, Risk managemen, SIME, Monte Carlo

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

Issue

Vol. 15 No. 1 (2018): Revista Técnica "energía", Edición No. 15

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Artículos

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