Bi-annual Newsletters Vol. 4 | Page 6

research highlights Linear Phasor Estimator Assisted Dynamic State Estimation by Dr. Ali Abur ([email protected]) Real-time network and machine models are necessary for the dynamic security analysis of the power systems. In order to procure these models, dynamic estimators can be used in the system for tracking the state variables and parameters associated with these models in real-time. Numerous researchers have so far proposed power system dynamic state estimation algorithms in the literature. The effects of load dynamics and unpredicted topology changes in the system on the dynamic state estimation are typically neglected by these studies due to their short duration of interest for dynamic state estimation (DSE) results. On the other hand, if DSE is to run continuously, these need to be incorporated in the model. Furthermore it is necessary to maintain robustness of DSE in the presence of bad data. In order to address these issues, a two-stage dynamic state estimator is proposed. Distinguishing features of the proposed estimator is its utilization of a robust linear phasor estimator for the phasor bus voltages; a partitioned zone-based approach to estimation, an unscented Kalman filter (UKF) base