Segmentación Causal y Anti-Causal de huecos de tensión en la Red de Distribución Eléctrica (Causal and Anti-Causal Segmentation of Voltage Dips in Power Distribution Networks)

Isabel Moreno (, Antonio Moreno (, Aurora Gil (, Math Bollen (, Irene Gu (

1Universidad de Córdoba
2Universidad Tecnológica de Lulea
3Universidad Tecnológica de Chalmers

This paper appears in: Revista IEEE América Latina

Publication Date: July 2016
Volume: 14,   Issue: 7 
ISSN: 1548-0992

This paper presents the performance of a joint causal and anti-causal (CaC) segmentation method for automatic location of nonstationary parts of power quality (PQ) events. Accurate time allocation of events and sequences of events is an important to automatically analyze disturbances in the future (smart) grid. The new method developed is based on the cumulative sum (CUSUM) algorithm and is applied to a wide set of power quality events to analyze its performance. The main advantage of CaC segmentation is that the location in time of underlying transitions in the power system is accurately estimated.

Index Terms:
Electric power distribution, electric power transmission, power quality, smart grids, cumulative sum (CUSUM), voltage dip   

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