Identificación de errores grandes en la estimación de estado usando búsqueda tabú
Abstract
La estimación de estado es comúnmente desarrollada usando la técnica de los mínimos cuadrados ponderados WLS (por acrónimo en inglés). Sin embargo, se presentan dificultades en la identificación de mediciones erróneas, dado que no existe un proceso de verificación que permita tener certeza sobre la calidad de dichas mediciones. Por lo tanto, en este artículo se presenta una metodología que combina la técnica clásica con un método de optimización combinatorial para garantizar una mayor eficiencia en la detección de mediciones erróneas. Además se utiliza como criterio de observabilidad la teoría de puntos de apalancamiento.Downloads
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