NDLI: Bayesian-based hypothesis testing for topology error identification in generalized state estimation

Content Provider	IEEE Xplore Digital Library
Author	Lourenco, E.M. Costa, A.S. Clements, K.A.
Copyright Year	1969
Abstract	This paper develops a Bayesian-based hypothesis testing procedure to be applied in conjunction with topology error processing via normalized Lagrange multipliers. As an advantage over previous methods, the proposed approach eliminates the need of repeated state estimator runs for alternative hypothesis evaluation. The identification process assumes that the set of switching devices is partitioned into suspect and true subsets. A geometric test is devised to ensure that all devices with wrong status are included in the suspect set. In addition, the results of criticality analysis performed at substation physical level prevents the occurrence of matrix singularities, which otherwise would degrade the performance of topology error identification. The IEEE 24-bus test system represented at physical level is employed to evaluate the proposed approach, considering diverse substation layouts and distinct types of topology errors.
Sponsorship	IEEE Power Engineering Society
Starting Page	1206
Ending Page	1215
Page Count	10
File Size	290575
File Format	PDF
ISSN	08858950
Volume Number	19
Issue Number	2
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-05-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Bayesian methods Testing Topology State estimation Power system modeling Switching circuits Brazil Council Substations Power systems Real time systems
Content Type	Text
Resource Type	Article
Subject	Energy Engineering and Power Technology Electrical and Electronic Engineering

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