Adaptive adjustment of noise covariance in Kalman filter for dynamic state estimation

S Akhlaghi, N Zhou, Z Huang - 2017 IEEE power & energy …, 2017 - ieeexplore.ieee.org
Accurate estimation of the dynamic states of a synchronous machine (eg, rotor's angle and
speed) is essential in monitoring and controlling transient stability of a power system. It is …
被引用次数：351 相关文章

Adaptive Adjustment of Noise Covariance in Kalman Filter for Dynamic State Estimation

S Akhlaghi, N Zhou, Z Huang - arXiv e-prints, 2017 - ui.adsabs.harvard.edu
Accurate estimation of the dynamic states of a synchronous machine (eg, rotor s angle and
speed) is essential in monitoring and controlling transient stability of a power system. It is …
[PDF] researchgate.net

[PDF][PDF] Adaptive Adjustment of Noise Covariance in Kalman Filter for Dynamic State Estimation

S Akhlaghi, N Zhou, Z Huang - Innovation - researchgate.net
Accurate estimation of the dynamic states of a synchronous machine (eg, rotor's angle and
speed) is essential in monitoring and controlling transient stability of a power system. It is …

Adaptive Adjustment of Noise Covariance in Kalman Filter for Dynamic State Estimation

S Akhlaghi, N Zhou, Z Huang - arXiv preprint arXiv:1702.00884, 2017 - arxiv.org
Accurate estimation of the dynamic states of a synchronous machine (eg, rotor s angle and
speed) is essential in monitoring and controlling transient stability of a power system. It is …
[PDF] researchgate.net

[PDF][PDF] Adaptive Adjustment of Noise Covariance in Kalman Filter for Dynamic State Estimation

S Akhlaghi, N Zhou, Z Huang - Innovation - researchgate.net
Accurate estimation of the dynamic states of a synchronous machine (eg, rotor's angle and
speed) is essential in monitoring and controlling transient stability of a power system. It is …