DocumentCode
1551093
Title
Multiple Bad Data Identification Considering Measurement Dependencies
Author
Caro, Eduardo ; Conejo, Antonio J. ; Mínguez, Roberto ; Zima, Marija ; Andersson, Göran
Author_Institution
Univ. Castilla-La Mancha, Ciudad Real, Spain
Volume
26
Issue
4
fYear
2011
Firstpage
1953
Lastpage
1961
Abstract
This paper analyzes the multiple bad data originated by a gross error in any voltage or current transformer of the measurement equipment. Considering the statistical correlations among measurements, an identification algorithm based on the largest normalized residual test is specifically designed to deal with multiple bad data. Two case studies are analyzed and conclusions duly drawn.
Keywords
current transformers; potential transformers; power system measurement; power system state estimation; current transformer; gross error; measurement dependencies; measurement equipment; multiple bad data identification; statistical correlations; voltage transformer; Algorithm design and analysis; Current measurement; Distortion measurement; Measurement uncertainty; Power measurement; State estimation; Voltage measurement; Dependent measurements; multiple bad data identification; power system state estimation;
fLanguage
English
Journal_Title
Power Systems, IEEE Transactions on
Publisher
ieee
ISSN
0885-8950
Type
jour
DOI
10.1109/TPWRS.2011.2157366
Filename
5871712
Link To Document