Comparing Kalman Filters and Observers for Power System Dynamic State Estimation With Model Uncertainty and Malicious Cyber Attacks

Comparing Kalman Filters and Observers for Power System Dynamic State Estimation With Model Uncertainty and Malicious Cyber Attacks

Kalman filters (KFs) and dynamic observers are two main classes of the dynamic state estimation (DSE) routines. The Power system DSE has been implemented by various KFs, such as the extended KF (EKF) and the unscented KF (UKF). In this paper, we discuss two challenges for an effective power system D...

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Manylion Llyfryddiaeth
Prif Awduron: Junjian Qi, Ahmad F. Taha, Jianhui Wang
Fformat: Erthygl
Iaith:English
Cyhoeddwyd: IEEE 2018-01-01
Cyfres:IEEE Access
Pynciau:
Cyber attack
dynamic state estimation
Kalman filter
model uncertainty
non-Gaussian noise
observer
Mynediad Ar-lein:https://ieeexplore.ieee.org/document/8570739/

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https://ieeexplore.ieee.org/document/8570739/

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