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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

Autor: Barrera Núñez, Víctor Augusto
Meléndez i Frigola, Joaquim
Herraiz Jaramillo, Sergio
Sánchez Losada, L.
Resum: 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
Accés al document: http://hdl.handle.net/2072/64441
Llenguatge: eng
Editor: IEEE
Drets: Tots els drets reservats
Matèria: Anàlisi multivariable
Energia elèctrica -- Distribució -- Alta tensió
Electric power distribution -- High tension
Multivariate analysis
Títol: Unusual voltage sag event detection in power systems
Tipus: info:eu-repo/semantics/article
Repositori: Recercat

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