{
  "$type": "site.standard.document",
  "description": "The detection of electromechanical oscillations in power systems and the estimation of their parameters (frequency f and damping xi ) is based on a linear time-varying model. The parameters of the linear model are on-line adapted by means of Kalman filtering techniques to approximate the measured…",
  "path": "/patents/1081392",
  "publishedAt": "2004-12-22T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "H02J3/00144",
    "ABB RESEARCH LTD [CH]"
  ],
  "textContent": "The detection of electromechanical oscillations in power systems and the estimation of their parameters (frequency f and damping xi ) is based on a linear time-varying model. The parameters of the linear model are on-line adapted by means of Kalman filtering techniques to approximate the measured signal y (representing the behaviour of the power system) optimally in the sense of a quadratic criterion. The estimated model parameters are then the basis for the calculation of parameters of the oscillations. Adaptive algorithms are based on a recursive calculation of the estimated parameter vector for each time-step based on the new value of the measured signal and the old values of the estimated parameters. As opposed to the collection of data over a time window and then performing the parameter identification at once, any change in the system can thus be detected much faster.",
  "title": "Detecting electromechanical oscillations in power systems"
}