Research on Electrical Parameter Estimation Method for New Power Systems Based on Kalman Filtering
New power systems include various power electronic devices with high-frequency noise.During the transition between islanded and grid-connected modes for distributed power sources,abrupt changes occur in fre-quency,amplitude,and phase of electrical signals.Traditional three-phase electrical signal parameter estimation methods struggle with high-frequency noise and signal jumps,leading to longer estimation time and lower estima-tion accuracy.This proposes an improved Kalman filter that introduces two diminishing factors to correct the priori estimation covariance matrix and the variance matrix representing process noise,enhancing dynamic re-sponse speed and steady-state accuracy.Simulation results show that the method improves algorithm convergence speed and estimation accuracy.
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