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Bayes-Based Fault Discrimination in Wide Area Backup ProtectionWANG, Z. , ZHANG, J. , ZHANG, Y. |
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Author keywords
bayesian discriminant analysis, fault discrimination, phasor measurement unit, PMU, wide area backup protection
References keywords
power(21), fault(14), systems(10), wide(9), area(8), energy(7), location(6), delivery(6), protection(5), phadke(5)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2012-02-28
Volume 12, Issue 1, Year 2012, On page(s): 91 - 96
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2012.01015
Web of Science Accession Number: 000301075000015
SCOPUS ID: 84860757818
Abstract
Multivariate statistical analysis is an effective tool to finish the fault location for electric power system. In Bayesian discriminant analysis as a subbranch, by the research of several populations, one can calculate the conditional probability that some samples belong to these populations, and compare the corresponding probability. The sample will be classified as population with maximum probability. In this paper, based on Bayesian discriminant analysis principle, a great number of simulation examples have confirmed that the results of Bayesian fault discriminant in wide area backup protection are accurate and reliable. |
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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