Least Median Of Squares Estimation In Power Systems
| Data(s) |
1991
|
|---|---|
| Resumo |
Static state estimators currently in use in power systems are prone to masking by multiple bad data. This is mainly because the power system regression model contains many leverage points; typically they have a cluster pattern. As reported recently in the statistical literature, only high breakdown point estimators are robust enough to cope with gross errors corrupting such a model. This paper deals with one such estimator, the least median of squares estimator, developed by Rousseeuw in 1984. The robustness of this method is assessed while applying it to power systems. Resampling methods are developed, and simulation results for IEEE test systems discussed. © 1991 IEEE. SCOPUS: ar.j info:eu-repo/semantics/published |
| Formato |
No full-text files |
| Identificador |
uri/info:doi/10.1109/59.76693 http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/230402 |
| Idioma(s) |
en |
| Fonte |
IEEE transactions on power systems, 6 (2 |
| Palavras-Chave | #Electronique et électrotechnique #Sciences de l'ingénieur #breakdown point #Least median of sauares state estimation #leverage point #resampling method |
| Tipo |
info:eu-repo/semantics/article info:ulb-repo/semantics/articlePeerReview info:ulb-repo/semantics/openurl/article |
