Evaluación de causalidad para perturbaciones estacionarias de calidad de energía
Autores
Garzón, Camilo Andrés
Director
Tipo de contenido
Trabajo de grado - Maestría
Idioma del documento
EspañolFecha de publicación
2016-04-31
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Resumen
El problema de asignación de responsabilidades RAP en calidad de energía puede ser definido como la identificación cualitativa y cuantitativa de las contribuciones de cada agente conectado a un sistema eléctrico, con respecto a una regulación o condición esperada. Esta tesis de maestría usa esta definición para introducir un método de evaluación de causalidad de perturbaciones estacionarias de calidad de energía, desarrollada a partir de un índice típicamente usado en teoría de grafos, Eigenvector Centrality. Posteriormente, el método es ilustrado mediante dos sistemas reales permitiendo una comparación con los resultados obtenidos por otros métodos. Finalmente se presenta una discusión de los resultados y su interpretación.
Abstract The problem of responsibilities Assignment RAP for power quality can be defined as the identification of the qualitative and quantitative contribution of each agent connected to an electrical system, with respect to a specific regulation or expected condition. This master thesis uses this definition to introduce a method for assessing causality in power quality under stationary conditions, resorting to an index tipically employed in graph theory, the Eigenvector Centrality. Subsequently, the method is illustrated by means of two real systems, allowing a comparison among the results obtained from other existing methods. A discussion regarding the results and its interpretation is presented as well.
Abstract The problem of responsibilities Assignment RAP for power quality can be defined as the identification of the qualitative and quantitative contribution of each agent connected to an electrical system, with respect to a specific regulation or expected condition. This master thesis uses this definition to introduce a method for assessing causality in power quality under stationary conditions, resorting to an index tipically employed in graph theory, the Eigenvector Centrality. Subsequently, the method is illustrated by means of two real systems, allowing a comparison among the results obtained from other existing methods. A discussion regarding the results and its interpretation is presented as well.