Robust state estimator based on least median of squares method

Author

Nanni, M. ; London, J. B A, Jr. ; Delbem, A.C.B. ; Bretas, N.G.

Author_Institution

Dept. of Electr. Eng., EESC/USP, Sao Carlos

fYear

2008

fDate

13-15 Aug. 2008

Firstpage

1

Lastpage

6

Abstract

In order to reduce the computing time required by the weighted least median square (WLMS) estimator, in this paper a procedure to determine the minimum redundancy of a measurement set and the non-redundant samples of measurement is proposed. The proposed procedure is based on the analysis of the structure of the H_Delta matrix, obtained through triangular factorization of the Jacobian matrix. The results of several tests have shown that using the proposed procedure the computing time required by the WLMS-estimator reduces significantly.

Keywords

Jacobian matrices; least mean squares methods; power system state estimation; Jacobian matrix; minimum redundancy; robust state estimator; triangular factorization; weighted least median square estimator; Jacobian matrices; Power measurement; Power system analysis computing; Power system measurements; Power system reliability; Redundancy; Robustness; State estimation; Testing; Time measurement; Bad Data; Measurement Redundancy; Power System; Robust State Estimator; Weighted Least Median of Squares Estimator;

fLanguage

English

Publisher

ieee

Conference_Titel

Transmission and Distribution Conference and Exposition: Latin America, 2008 IEEE/PES

Conference_Location

Bogota

Print_ISBN

978-1-4244-2217-3

Electronic_ISBN

978-1-4244-2218-0

Type

conf

DOI

10.1109/TDC-LA.2008.4641738

Filename

4641738