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Bad Data Identification Methods In Power System State Estimation-A Comparative Study

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3 Author(s)
Van Cutsem, T. ; Department of Electrical Engineering; University of Liege ; Ribbens-Pavella, M. ; Mili, L.

The identification techniques available today are first classified into three broad classes. Their behaviour with respect to selected criteria are then explored and assessed. Further, a series of simulations are carried out with various types of bad data. Investigating the way these identification techniques behave allows completing and validating the theoretical comparisons and conclusions.

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Power Apparatus and Systems, IEEE Transactions on  (Volume:PAS-104 ,  Issue: 11 )