Bad data identification methods in power system state estimation — a comparative study

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. Copyright © 1985 by The Institute of Electrical and Electronics Engineers, Inc.