Análise Probabilística da Estabilidade Angular de um Sistema Máquina Barra Infinita: uma Comparação da Transformação Unscented e a Simulação Monte Carlo

Authors

  • José Fabiano V. D. Moreira Programa de Pós-Graduação em Engenharia Elétrica (PPGEL/UFSJ/CEFET-MG), Departamento de Engenharia Elétrica (DEPEL), Universidade Federal de São João del-Rei (UFSJ)
  • Wesley Peres Programa de Pós-Graduação em Engenharia Elétrica (PPGEL/UFSJ/CEFET-MG), Departamento de Engenharia Elétrica (DEPEL), Universidade Federal de São João del-Rei (UFSJ)
  • Marcio J. Lacerda Centre for Communications Technology, School of Computing and Digital Media, London Metropolitan University

Keywords:

Probabilistic Small Signal Stability, Unscented Transformation, Monte Carlo Simulation, Uncertainties

Abstract

This paper explores the application of the Unscented Transformation method in the probabilistic assessment of small-signal angular stability in Electric Power Systems. The method is applied to an infinite bus-single machine system model, taking into account uncertainties in both generation and voltage magnitude. The efficacy of the Unscented Transformation is evaluated in comparison with Monte Carlo Simulation, highlighting a significant reduction in computational effort (approximately 99%) and high accuracy, with errors below 1%.

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Published

2024-10-18

Issue

Vol. 4 No. 1 (2024): CBA2024

Section

Articles