Unusual voltage sag event detection in power systems

Author

Núñez, V. Barrera ; Frigola, J. Meléndez ; Jaramillo, S. Herraiz ; Losada, J. Sánchez

Author_Institution

eXiT Group, Univ. of Girona, Girona

fYear

2008

fDate

13-15 Aug. 2008

Firstpage

1

Lastpage

5

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.

Keywords

distribution networks; power supply quality; principal component analysis; substations; discriminant analysis; distribution substations; factor analysis; multivariate statistical tools; power quality monitoring; power systems; principal component analysis; voltage sag event detection; Data mining; Event detection; Integral equations; Monitoring; Power quality; Power systems; Principal component analysis; Signal analysis; Testing; Voltage fluctuations; discriminant analysis; factor analysis; power quality monitoring; principal component analysis; voltage sag (dip);

fLanguage

English

Publisher

ieee

Conference_Titel

Transmission and Distribution Conference and Exposition: Latin America, 2008 IEEE/PES

Conference_Location

Bogota

Print_ISBN

978-1-4244-2217-3

Electronic_ISBN

978-1-4244-2218-0

Type

conf

DOI

10.1109/TDC-LA.2008.4641821

Filename

4641821