Bad Data Detection and Identification Techniques Using Estimation Orthogonal Methods

1 September 1982

journal article
Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Power Apparatus and Systems

Vol. PAS-101 (9) , 3356-3364
https://doi.org/10.1109/tpas.1982.317595

Abstract

This paper presents methods for bad data detection, identification and elimination, which can be used in connection with orthogonal state estimation techniques. Full advantage is taken of the properties and characteristics of the Golub's and Givens' methods. A basic review of the foundations of detection and identification techniques is firstly presented. Also, it is shown how easy it is to eliminate the effects of bad data already processed when using the orthogonal Givens rotations. Several numerical test examples are presented.

Keywords

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