With the increasing demand for power system stability and resilience

effective real-time tracking plays a crucial role in smart grid synchronization. However

most studies have focused on measurement noise

while they seldom think about the problem of measurement data loss in smart power grid synchronization. To solve this problem

a resilient fault-tolerant extended Kalman filter (RFTEKF) is proposed to track voltage amplitude

voltage phase angle and frequency dynamically. First

a three-phase unbalanced network's positive sequence fast estimation model is established. Then

the loss phenomenon of measurements occurs randomly

and the randomness of data loss's randomness is defined by discrete interval distribution [0]

[1]. Subsequently

a resilient fault-tolerant extended Kalman filter based on the real-time estimation framework is designed using the time-stamp technique to acquire partial data loss information. Finally

extensive simulation results manifest the proposed RFTEKF can synchronize the smart grid more effectively than the traditional extended Kalman filter (EKF).