Avaliação e Melhoria da Margem de Colapso de Tensão Utilizando Rede Neural Artificial

Título: Avaliação e Melhoria da Margem de Colapso de Tensão Utilizando Rede Neural Artificial

Autores: Gouvêa Jr., Maury M.; Terra, Luiz Danilo B.

Resumo: This paper deals with static security assessment and enhancement of power systems. An artificial neural network, which yields the voltage collapse margin for a critical bus is incorporated to an objective function that is optimized through a gradient search procedure. Simulations using the IEEE-30 bus network illustrate the method. The advantages and enhancement in the voltage collapse margin are investigated by varying key parameters during the optimization process.

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Páginas: 6

DOI: 10.21528/CBRN2001-030

Artigo em pdf: 4cbrn_030.pdf

Arquivo BibTex: 4cbrn_030.bib