Deakin University
Browse

File(s) under permanent embargo

Multiway principal component analysis (MPCA) for upstream/downstream classification of voltage sags gathered in distribution substations

chapter
posted on 2008-06-11, 00:00 authored by Abbas KhosraviAbbas Khosravi, J Melendez, J Colomer, J Sanchez
Occurring in transmission or distribution networks, voltage sags (transient reductions of voltage magnitude) can cause serious damage to end-use equipment (domestic appliances, precision instruments, etc.) and industrial processes (PLC and controller resets, time life reduction, etc.) resulting in important economic losses. We present a statistical method to determine whether these disturbances originate upstream (transmission system) or downstream (distribution system) of the registering point located in distribution substations. The method uses only information from the recorded disturbances and exploits their statistical properties of them in terms of covariance. Multiway Principal Component Analysis (MPCA) is proposed to model classes of sags according to their origin upstream/downstream using the RMS values of voltages and currents. New, not-yet-seen sags are projected to these models and classified based on statistical criteria measuring their consistency with the models. the successful classification of real sags recorded in electric substations is compared with other methodologies. © 2008 Springer-Verlag Berlin Heidelberg.

History

Volume

116

Pagination

297-312

ISSN

1860-949X

Publication classification

BN.1 Other book chapter, or book chapter not attributed to Deakin

Publisher

Springer

Usage metrics

    Research Publications

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC