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Classification of voltage sags based on MPCA models

conference contribution
posted on 2007-12-01, 00:00 authored by Abbas KhosraviAbbas Khosravi, J Melendez, J Colomer
In this paper, we introduce a new framework for classification of short duration voltage reductions in the area of Power Quality Monitoring using Multiway Principal Component Analysis (MPCA). Firstly, we recast the sags occurred in High Voltage (HV) and Medium Voltage (MV) lines in a format which is suitable for MPCA. Then, MPCA technique is employed for building statistical models for classification of sags originated in HV and MV networks and recorded in the same substation. Projecting sags registered in different substations to MPCA models of other substations has been also explored to deduce similarities and dissimilarities between different substations according to the sags registered in them. © Springer-Verlag Berlin Heidelberg 2007.

History

Volume

4477 LNCS

Pagination

362-369

Location

Girona, Spain

Start date

2007-06-06

End date

2007-06-08

ISSN

0302-9743

eISSN

1611-3349

ISBN-13

9783540728467

Publication classification

EN.1 Other conference paper

Title of proceedings

IbPRIA: Iberian Conference on Pattern Recognition and Image Analysis

Issue

PART 1

Publisher

Springer

Place of publication

Berlin, Germany

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