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

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