Frequency estimation of distorted signals in power systems using particle extended Kalman filter

In this paper, frequency of distorted signal in power system has been estimated with particle extended Kalman filter. Base of particle algorithm, extended Kalman filter and particle extended Kalman filter are mentioned. For selecting state variables, a nonlinear time-variant sinusoidal signal is developed then a particle extended Kalman filter is applied to detect the frequency variations. Several tests are performed to show the performance of PEKF algorithm. Comparison of PEKF with EKF reveals the PEKF preference. Also, these tests prove the fast speed, good accuracy and robustness against noise. These advantages illustrate that PEKF is more suitable for power system applications.