Detección de Perturbaciones de Calidad de la Potencia Mediante Parámetros de Deformación Tensorial (Detection Of Power Quality Disturbances Using Deformation Tensor Parameters)

Santiago Arias (saariasgu@unal.edu.co)1, Armando Jaime Ustariz (ajustarizf@unal.edu.co)1, Eduardo Antonio Cano (eacanopl@unal.edu.co)1


1Universidad Nacional de Colombia

This paper appears in: Revista IEEE América Latina

Publication Date: July 2015
Volume: 13,   Issue: 7 
ISSN: 1548-0992


Abstract:
This paper introduces a new segmentation algorithm of voltage waveforms. This new algorithm uses the strength of the tensor concept of the voltage signals to generate a unique pattern of deformation in three-phase systems. This deformation pattern is used to perform segmentation by detecting residues. In the process of segmentation, a modification to the Kalman filter has been proposed based on the work presented by Rakhee Panigrahi and Cesar Duarte. With this modification, we have obtained a robust response with a term included for estimating adaptively to sudden changes in the system. Additionally, it has been implemented a strategy of adaptive thresholding to adapt to noisy signals. This segmentation strategy is validated using a set of synthetic signals with variation of the remnant voltage and the starting point of the disturbance. Finally, the proposed algorithm is tested with a set of real signals.

Index Terms:
Adaptive kalman filter, Adaptive threshold, Electromagnetic perturbations, Segmentation, Tensor analysis, Voltage sags   


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