Local detection of PMU measurement errors using dynamic state estimators

Abstract

This paper proposes the use of a couple of local PMUs and associated dynamic state estimators in order to detect and remove bad data in PMU measurements. Distinguishing features of the proposed approach is that it facilitates detection of bad-data in local PMU measurements without requiring a system-wide state estimator. The proposed approach relies on a performance evaluation technique which computes the probability density function (pdf) of the residuals provided by a dynamic state estimator. In the proposed approach it is assumed that there are at least two local PMUs that provide measurements to the dynamic state estimators of a synchronous generator. The proposed approach is implemented using a two-axis model of a synchronous generator with IEEE-Type 1 exciter. The performance of the proposed approach is investigated in the presence of bad-data associated with the measurements provided by the PMUs.