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Simulación Sincrofasorial con PMUs Virtuales en Sistema de Potencia Para Estudios Fuera de Línea

Authors: Fernando Rafael Arias Atiaja; Armando Salvador Freire Freire; Jennifer Nicole Bustos Arias;

Simulación Sincrofasorial con PMUs Virtuales en Sistema de Potencia Para Estudios Fuera de Línea

Abstract

Uno de los principales componentes que conforman el sistema de monitoreo de área extendida (WAMs) son las Unidades de Medición Fasorial (PMUs), dispositivos que permiten realizar análisis dinámico en el estado del sistema eléctrico, estos equipos permiten la estimación de fasor representando las magnitudes de ángulos de tensión e intensidad y garantizando mediante la sincronización temporal y frecuencia de muestreo visualizar al sistema en tiempo real y comparar fasores medidos en distintos puntos de la red. Este estudio presenta una plataforma de monitoreo dinámico con PMUs para un sistema de potencia de dos áreas, el enfoque comienza con el desarrollo y verificación de un modelo de referencia ejemplo 12.6 (P. Kundur, Power system stability and control), simulado en el software de DIgSILENT PowerFactory, luego se realiza un estudio dinámico mediante la implementación de eventos de perturbación con la finalidad de extraer datos de voltajes y corrientes en magnitud y ángulo, además, se implementa un algoritmo mediante el software Python que sirve de PMU virtual para la lectura y envío de datos registrados mediante una red ip ficticia que será extraída por el software Pyscript para la visualización y uso de datos para su monitoreo, también se muestra el monitoreo dinámico sincrofasorial mediante el software PMU Connection Tester que se comunica por medio de la ip virtual enviada desde Python, como resultado se obtiene la gráfica de respuesta mediante la visualización de ángulos de PMUs virtuales.

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Keywords

TK7885-7895, Computer engineering. Computer hardware, WAMs, PMUs, Industrial engineering. Management engineering, T55.4-60.8, TA1-2040, Engineering (General). Civil engineering (General), Monitoreo dinámico, DIgSILENT PowerFactory, Python

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold