Linear Kalman filter algorithm for analysis of transient stability swings in large interconnected power systems

The amount of damping in power system oscillations plays an important role in the stability of the system. This paper presents a new application of linear Kalman filtering for analysis of transient stability swings in large interconnected power systems in order to determine the damping constants and oscillation amplitude. It is shown that Kalman filtering models are well suited for analyzing beat oscillations as well as noisy measurements. The effects of sampling rate, data window size and overall accuracy are also investigated. Results are reported for an actual recorded data set. It is concluded that the quality of estimates is degraded as the noise level is increased.