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A hybrid method for sag source location in power network

The work presented in this paper belongs to the power quality knowledge area and deals with the voltage sags in power transmission and distribution systems. Propagating throughout the power network, voltage sags can cause plenty of problems for domestic and industrial loads that can financially cost a lot. To impose penalties to responsible party and to improve monitoring and mitigation strategies, sags must be located in the power network. With such a worthwhile objective, this paper comes up with a new method for associating a sag waveform with its origin in transmission and distribution networks. It solves this problem through developing hybrid methods which hire multiway principal component analysis (MPCA) as a dimension reduction tool. MPCA reexpresses sag waveforms in a new subspace just in a few scores. We train some well-known classifiers with these scores and exploit them for classification of future sags. The capabilities of the proposed method for dimension reduction and classification are examined using the real data gathered from three substations in Catalonia, Spain. The obtained classification rates certify the goodness and powerfulness of the developed hybrid methods as brand-new tools for sag classification

© 9th International Conference on Electrical Power Quality and Utilisation : 2007 : EPQU 2007, 2007, p. 1-6

IEEE

Author: Khosravi, Abbas
Meléndez i Frigola, Joaquim
Colomer Llinàs, Joan
Sánchez, Jorge
Date: 2007
Abstract: The work presented in this paper belongs to the power quality knowledge area and deals with the voltage sags in power transmission and distribution systems. Propagating throughout the power network, voltage sags can cause plenty of problems for domestic and industrial loads that can financially cost a lot. To impose penalties to responsible party and to improve monitoring and mitigation strategies, sags must be located in the power network. With such a worthwhile objective, this paper comes up with a new method for associating a sag waveform with its origin in transmission and distribution networks. It solves this problem through developing hybrid methods which hire multiway principal component analysis (MPCA) as a dimension reduction tool. MPCA reexpresses sag waveforms in a new subspace just in a few scores. We train some well-known classifiers with these scores and exploit them for classification of future sags. The capabilities of the proposed method for dimension reduction and classification are examined using the real data gathered from three substations in Catalonia, Spain. The obtained classification rates certify the goodness and powerfulness of the developed hybrid methods as brand-new tools for sag classification
Format: application/pdf
Citation: Khosravi, A., Meléndez, J., Colomer, J., i Sánchez, J. (2007). A hybrid method for sag source location in power network. 9th International Conference on Electrical Power Quality and Utilisation : 2007 : EPQU 2007, 1-6. Recuperat 10 juny 2010, a http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4424087
ISBN: 978-84-690-9441-9
Document access: http://hdl.handle.net/10256/2576
Language: eng
Publisher: IEEE
Collection: Reproducció digital del document publicat a: http://dx.doi.org/10.1109/EPQU.2007.4424087
Articles publicats (D-EEEiA)
Is part of: © 9th International Conference on Electrical Power Quality and Utilisation : 2007 : EPQU 2007, 2007, p. 1-6
Rights: Tots els drets reservats
Subject: Energia elèctrica -- Distribució -- Control de qualitat
Energia elèctrica -- Transmissió -- Control de qualitat
Errors de sistemes (Enginyeria) -- Localització
Xarxes elèctriques
Electric networks
Electric power distribution -- Quality control
Electric power transmission -- Quality control
System failures (Engineering) -- Location
Title: A hybrid method for sag source location in power network
Type: info:eu-repo/semantics/article
Repository: DUGiDocs

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