Abstract
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.
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Khosravi, A., Melendez, J., Colomer, J. (2007). Classification of Voltage Sags Based on MPCA Models. In: Martí, J., Benedí, J.M., Mendonça, A.M., Serrat, J. (eds) Pattern Recognition and Image Analysis. IbPRIA 2007. Lecture Notes in Computer Science, vol 4477. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72847-4_47
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DOI: https://doi.org/10.1007/978-3-540-72847-4_47
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-72846-7
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