Inventors at USF have used PMUs over Supervisory Control and Data Acquisition (SCADA) systems for synchronous generator parameter estimation because of their high density sampling rate and their ability to capture system electromechanical dynamics. Unscented Kalman Filter (UKF) has been implemented to estimate dynamic states and parameters of low order synchronous generator model with both primary and secondary frequency control system. This method uses voltage magnitude and active power measurements as inputs, voltage angle, reactive power and frequency as outputs. Through the proposed estimation method, a complex generator model can be emulated using a low-order generator with frequency controls.
- Highly effective estimation related to frequency control
- High degree of accuracy compared to real world PMU data
- PMU data captures the system electromechanical dynamics
Rotor Angle Estimation and Simulation Results