Dynamic State Estimation of Power System Harmonics with Bad Data

摘要

In this article, a robust extended Kalman filter (REKF) technique is proposed for dynamic harmonic state estimation. The proposed state estimator is capable of estimating the harmonic states of the power system in real time even in the presence of bad data in the measurements. From the simulation results obtained from IEEE 14 bus test system under various operating conditions, it has been observed that the estimation performance of the proposed technique is very close to the true simulated values.