{
  "$type": "site.standard.document",
  "description": "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…",
  "path": "/patents/1380779",
  "publishedAt": "2026-04-09T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "G06F30/20",
    "Siemens Corporation"
  ],
  "textContent": "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.",
  "title": "ONLINE CALIBRATION OF POWER SYSTEM MODEL USING TIME SERIES MEASUREMENT DATA"
}