DocumentCode :
2379675
Title :
Recovering of masked errors in power systems state estimation and measurement gross error detection and identification proposition
Author :
Bretas, N.G. ; London, J. B A, Jr.
Author_Institution :
Dept. of Electr. Eng., E.E.S.C.-Univ. of Sao Paulo, São Paulo, Brazil
fYear :
2010
fDate :
25-29 July 2010
Firstpage :
1
Lastpage :
6
Abstract :
In this paper, a topological/geometrical based approach is used to define an index, undetectability index (UI), which provides the distance of a measurement from the range space of the Jacobean matrix of the power system. The higher the value of this index, for a measurement, the closer it will be to the range space of that matrix, that is, the error in measurements with high UI is not reflected in their residuals, thus masking a possible gross error those measurements might have. Using the UI of a measurement, the possible gross error the state estimation process might mask is recovered; then the total gross error of that measurement is composed and used to the gross error detection and identification test. The gross error processing turns out to be very simple to implement, requiring only a few adaptations to the existing state estimation software. The IEEE-14 bus system is used to validate the proposed gross error detection and identification test.
Keywords :
Jacobian matrices; power system measurement; power system state estimation; IEEE-14 bus system; Jacobean matrix; identification proposition; masked errors recovery; measurement gross error detection; power systems state estimation; topological-geometrical based approach; undetectability index; Gross Errors Analysis; Orthogonal Projections; Recovering Errors; State Estimation; Undetectability Index;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Society General Meeting, 2010 IEEE
Conference_Location :
Minneapolis, MN
ISSN :
1944-9925
Print_ISBN :
978-1-4244-6549-1
Electronic_ISBN :
1944-9925
Type :
conf
DOI :
10.1109/PES.2010.5589577
Filename :
5589577
Link To Document :
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