Aiming at the shortcomings of traditional unscented Kalman filter(UKF)sampling method in the dynamic state estimation

the UKF algorithm is improved by adjusting the ratio correction factor in real time to improve the filtering performance. The accuracy of dynamic state estimation is greatly influenced by the gross error. Therefore

a robust unscented Kalman filter(RUKF)algorithm is proposed. The gross error criterion is introduced to detect the gross errors

and the enhancement factor is applied to reduce the influence of gross errors on system state estimation results. RUKF algorithm has been applied to the dynamic state estimation of the power system and the simulation results show that RUKF algorithm has good estimation performance and strong robustness.