A Dynamic State Estimation Method Based on Robust Cubature Kalman Filter and Super Phasor Measurement Units

This paper proposes a novel approach for dynamic state estimation (DSE) in power systems, leveraging the integration of robust cubature Kalman filter (RCKF) and Super Phasor Measurement Unit (SPMU) measurements. The proposed RCKF can identify and down-weight the bad data based on normalized innovations. The SPMU measurements with superior refresh rate and expanded measurement capabilities compared to regular PMUs can enhance both the accuracy and robustness of the DSE. Simulations results carried out in IEEE 14-bus test system demonstrate the the superior performance of our proposed method in terms of both accuracy and robustness against bad data.