Integration of remote measurement calibration with state estimation-a feasibility study

The authors describe the integration of measurement calibration and state estimation methodologies for increasing the confidence level in a real-time database. The objectives are to improve performance of state estimators and to reduce the system engineering effort which goes into its installations and the related measurement calibrations. These objectives are accomplished by remotely minimizing the systematic errors and providing the state estimator with zero-mean and the actual standard deviation for each measurement. The state estimator is then able to suppress the spurious errors and furnish a dependable real-time database for the computer control of power systems. The approach was supported by experimental results carried on a 55 bus portion of an actual power system