Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/67872
Type: Artigo de periódico
Title: Generalized state estimation
Author: Alsac, O
Vempati, N
Stott, B
Monticelli, A
Abstract: Power system state estimation derives a real-time network model by extracting information from a redundant data set consisting of telemetered, predicted and static data items. This paper describes a generalized, fully developed, estimation approach that fundamentally improves the information extraction process. Its main contribution is the successful inclusion of topology and parameters in the estimation and bad data analysis processes. This is valuable both in the initial commissioning of a state estimator, and in its routine real-time and study mode application. The approach involves a variety of novel concepts and methods. It is usable in Weighted Least Squares (WLS) and other estimation approaches.
Subject: state estimation
topology processing
observability analysis
bad data analysis
topology errors
parameter estimation
Country: EUA
Editor: Ieee-inst Electrical Electronics Engineers Inc
Rights: fechado
Identifier DOI: 10.1109/59.709101
Date Issue: 1998
Appears in Collections:Unicamp - Artigos e Outros Documentos

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