Fault Tolerant Extended Kalman Filter for Power Grid Synchronization Estimation Against Partial Missing Measurements

Aiming at the problem of partial measurement loss of power grid synchronous estimation, a resilient fault-tolerant extended Kalman filter (RFTEKF) is proposed to dynamically track voltage amplitude, voltage phase angle and frequency. First, the positive sequence fast estimation model of three-phase unbalanced network is established. Secondly, the loss phenomenon of measurements occurs in a random way and the randomness of data loss is defined by the discrete distribution of the interval [0,1]. Subsequently, a resilient fault- tolerant extended Kalman filter based on the real-time estimation framework is designed by using time-stamp technique to acquire partial data loss information. Finally, extensive simulation results manifest that the proposed RFTEKF can synchronize the power grid significantly more effectively than the traditional extended Kalman filter (EKF).