Parameter Estimation of a Synchronous Generator at Moderate Measurement Sampling Rate

Abstract

This paper focuses on parameter estimation of a Synchronous Generator (SG) utilizing the measurements captured by Phasor Measurement Unit (PMU) placed at its terminal. The conventional Unscented Kalman Filter (UKF) has been notably used for parameter estimation of SG owing to the various advantages it provides. However, the sampling rates of measurements required for UKF based parameter estimation of SG are much higher than that provided by a conventional PMU. This paper has attempted to address this issue by utilizing an Iterated UKF (IUKF). Another aspect considered here is the impact of different Unscented Transformations (UTs). In the prediction stage, UKF utilizes UT for preserving the stochastic nature of the concerned non-linear system. Performance comparison of basic and spherical UT, utilized for IUKF, are presented focusing on the accuracy of parameters being estimated and the associated computational time required for each of the UT's.