Identfication of bad data for local state estimation procedure

This paper presents a highly robust bad data identification algorithm for electric power system estimation. A local processing schem is coupled with state estimation procedure. The algorithm uses prescreening of selected power system measuremens prior an over all local state stimation. Since it is based on system decomposition it can be used in selected portions of a large system such as regions where questionable results from another state estimator are obtained.