Idenntification of Parameters for Power System Stability Analysis Using Kalman Filter

We propose that parameters on generators and the control units, used for power stability analysis, should be identified on the field data for reliable analysis in planning and operation of power supply systems. We apply Kalman filter technique in estimating the parameters. The identified data are compared with the design data and are well verified by analyzing the dynamic stability under line switching condition. Which deviation of designed values from identified values has the largest influence on the analysis, is also investigated.