Adaptive Robust Cubature Kalman Filter for Power System Dynamic State Estimation Against Outliers

Adaptive Robust Cubature Kalman Filter for Power System Dynamic State Estimation Against Outliers

This paper develops an adaptive robust cubature Kalman filter (ARCKF) that is able to mitigate the adverse effects of the innovation and observation outliers while filtering out the system and measurement noises. To develop the ARCKF dynamic state estimator, a batch-mode regression form in the frame...

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Bibliographic Details
Main Authors: Yi Wang, Yonghui Sun, Venkata Dinavahi, Shiqi Cao, Dongchen Hou
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Dynamic state estimation
cubature Kalman filter
robust estimation
outliers
power system stability
Online Access:https://ieeexplore.ieee.org/document/8782468/

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