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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Bibliographic Details
Main Authors: Junjian Qi, Ahmad F. Taha, Jianhui Wang
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Cyber attack
dynamic state estimation
Kalman filter
model uncertainty
non-Gaussian noise
observer
Online Access:https://ieeexplore.ieee.org/document/8570739/

Internet

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

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