Title :
Bad Data Identification Methods In Power System State Estimation-A Comparative Study
Author :
Van Cutsem, Thierry ; Ribbens-Pavella, M. ; Mili, L.
Author_Institution :
Department of Electrical Engineering; University of Liege
Abstract :
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.
Keywords :
Error correction; Hybrid power systems; Noise measurement; Phase measurement; Power system reliability; Power system simulation; Power systems; Satellites; Software systems; State estimation;
Journal_Title :
Power Apparatus and Systems, IEEE Transactions on
DOI :
10.1109/TPAS.1985.318945
