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New bad-data detection and identification technique based on rotation of measurement order for sequential state estimation [for power systems]

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4 Author(s)
Lo, K.L. ; Dept. of Electron. & Electr. Eng., Strathclyde Univ., Glasgow, UK ; Zeng, P.L. ; Marchand, E. ; Pinkerton, A.

The authors describe the development of a new bad-data detection and identification technique for sequential power system state estimations using Givens orthogonal transformation. The proposed bad-data detection and identification method does not rely on the analysis of measurement residuals. The new bad-data processing technique is tested on an industrial steam turbine system for which a robust and efficient state estimator has been developed. Numerical results for bad-data detection and identification tests are reported

Published in:

Generation, Transmission and Distribution, IEE Proceedings C  (Volume:139 ,  Issue: 5 )

Date of Publication:

Sep 1992

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