Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/101239
Type: Artigo de periódico
Title: Testing Equality Constraint Hypotheses In Weighted Least Squares State Estimators
Author: Monticelli A.
Abstract: The presence of a gross error in analog, status, or parameter data can dramatically affect both the convergence and the quality of the results yielded by weighted least squares state estimators. Most of the literature available on the subject deals with analog errors. This paper extends the well known J-test to the validation of hypothesis represented as linear equality constraints. The proposed testing approach has been applied to validate hypothesis about the status of switching devices (open/closed) in networks modeled at the physical level (bus-section/switching-device model).
Editor: IEEE, Piscataway, NJ, United States
Rights: fechado
Identifier DOI: 
Address: http://www.scopus.com/inward/record.url?eid=2-s2.0-0032597614&partnerID=40&md5=6af1a3c145206224c6ea7883fe377af5
Date Issue: 1999
Appears in Collections:Unicamp - Artigos e Outros Documentos

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