Power distribution network dynamic state estimation method and system based on square root cubature Kalman filter

The invention discloses a power distribution network dynamic state estimation method and system based on a square root cubature Kalman filter. The power distribution network dynamic state estimation method comprises the following steps: S1, acquiring measurement data at a certain moment k; S2, performing state prediction according to the measurement data at the moment k, and predicting the state at the moment k + 1 by using a holt two-parameter exponential smoothing method to obtain a state prediction value at the moment k + 1; S3, correcting the state prediction value at the k + 1 moment by using the measurement data to obtain a state estimation value at the k + 1 moment; S4, updating filtering parameters to prepare for next iteration; carrying out the next iteration, returning to the step S1, obtaining measurement data at the moment k + 1, and executing the steps S2-S4 to realize state estimation at the moment k + 2. According to the invention, dynamic state estimation can be carried out by using the collec