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

Santiago Arias (, Armando Jaime Ustariz (, Eduardo Antonio Cano (

1Universidad Nacional de Colombia

This paper appears in: Revista IEEE América Latina

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

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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