Multiway principal component analysis (MPCA) for upstream/downstream classification of voltage sags gathered in distribution substations
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posted on 2008-06-11, 00:00 authored by Abbas KhosraviAbbas Khosravi, J Melendez, J Colomer, J SanchezOccurring 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.
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Volume
116Pagination
297-312Publisher DOI
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1860-949XPublication classification
BN.1 Other book chapter, or book chapter not attributed to DeakinPublisher
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