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Unusual voltage sag event detection in power systems

Three multivariate statistical tools (principal component analysis, factor analysis, analysis discriminant) have been tested to characterize and model the sags registered in distribution substations. Those models use several features to represent the magnitude, duration and unbalanced grade of sags. They have been obtained from voltage and current waveforms. The techniques are tested and compared using 69 registers of sags. The advantages and drawbacks of each technique are listed

IEEE

Author: Barrera Núñez, Víctor Augusto
Meléndez i Frigola, Joaquim
Herraiz Jaramillo, Sergio
Sánchez Losada, L.
Abstract: Three multivariate statistical tools (principal component analysis, factor analysis, analysis discriminant) have been tested to characterize and model the sags registered in distribution substations. Those models use several features to represent the magnitude, duration and unbalanced grade of sags. They have been obtained from voltage and current waveforms. The techniques are tested and compared using 69 registers of sags. The advantages and drawbacks of each technique are listed
Document access: http://hdl.handle.net/2072/64441
Language: eng
Publisher: IEEE
Rights: Tots els drets reservats
Subject: Anàlisi multivariable
Energia elèctrica -- Distribució -- Alta tensió
Electric power distribution -- High tension
Multivariate analysis
Title: Unusual voltage sag event detection in power systems
Type: info:eu-repo/semantics/article
Repository: Recercat

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