Power System Tracking State Estimator for Smart Grid Under Unreliable PMU Data Communication Network

Abstract

This paper presents a power system tracking state estimation (PSTSE) using cubature Kalman filter (CKF). The proposed approach utilizes synchronized phasor measurements from the phasor measurement units (PMUs) for the execution of the PSTSE. A state forecasting technique has been utilized to forecast the states for the period when PMU measurements are missing due to temporary failure of communication link or data packet loss. This helps in estimating the states of the power system during the period when the field measurements from PMU are not available. The effectiveness of the application of the CKF to the PSTSE has been demonstrated using two test systems.