Classification of short duration faults (voltage sags) in transmission and distribution power systems

Author

Llanos, D. ; Mora, J. ; Melendez, J. ; Ruiz, M. ; Colomer, J. ; Sanchez, J. ; Corbella, X.

Author_Institution

Control Engineering and Intelligent Systems Group - eXiT, Institut d´Informàtica i Aplicacions (IIiA) - Universitat de Girona (UdG) E-17071-Girona (Spain)

fYear

2003

fDate

1-4 Sept. 2003

Firstpage

1246

Lastpage

1251

Abstract

Two techniques for voltage sags characterisation and classification have been integrated. The objective is to assist monitoring systems in order to improve automatic recognition of faults. The abstraction of significant information (temporal and phasorial) is proposed to model faults based on simple descriptors instead of trying to obtain analytical models. A classification of such fault based on phasorial analysis is compared with the results obtained using a learning algorithm that allows an automated and unsupervised classification. Voltage sags waveforms are gathered in a 25kV substation. The goal is to locate the origin of such fault registered in the substation (transmission or distribution).

Keywords

Classification algorithms; Monitoring; Power quality; Substations; Voltage fluctuations; Voltage measurement; Monitoring; abstraction; classification; phasorial analysis; power quality;

fLanguage

English

Publisher

ieee

Conference_Titel

European Control Conference (ECC), 2003

Conference_Location

Cambridge, UK

Print_ISBN

978-3-9524173-7-9

Type

conf

Filename

7085131