ONLINE CALIBRATION OF POWER SYSTEM MODEL USING TIME SERIES MEASUREMENT DATA

A computer-implemented method for online calibration of power system model against a power system includes iteratively approximating the power system model to a time-domain system model, at sequential optimization steps, as a function of parameter values of a set of system parameters. At each optimization step, an error is measured between a time series of a model output in response to the dynamic input signal and a time series of measurement signals obtained from the measurement devices defining an actual power system response to the dynamic input signal, summed over a number of discretized points in time with a defined sampling interval. A sequential optimizer is used to adjust parameter values of the calibration parameters and a system state to minimize the measured error, constrained by a discretization of the time-domain system model based on the sampling interval, to thereby determine optimal values of the calibration parameters.