Predicción de la estabilidad de voltaje en redes eléctricas inteligentes
Resumen
Las redes eléctricas inteligentes son un sistema de transporte de electricidad eficiente que no afecta al medio ambiente. Una red inteligente se considera estable cuando puede mantener un funcionamiento confiable y consistente mientras gestiona de manera efectiva diversos factores que pueden provocar interrupciones o desequilibrios en ella. La estabilidad es importante, ya que todo el proceso de transmisión depende del tiempo. En este trabajo se emplea el deep learning para predecir la estabilidad en este tipo de redes. Se utilizó una base de datos balanceada y libre de 60 000 observaciones con información de consumidores y productores obtenida a partir de simulaciones. Se concluye que esta técnica obtuvo un alto desempeño (accuracy = 97,98 %), lo que permite afirmar que el deep learning se puede considerar con seguridad para esta tarea. La cantidad de épocas influyó significativamente en el desempeño de las redes neuronales artificiales (RNA): las que tenían arquitecturas más complejas presentaron un mejor accuracy.
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