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eess.SY2017
Adaptive Adjustment of Noise Covariance in Kalman Filter for Dynamic State Estimation
Shahrokh Akhlaghi, Ning Zhou, Zhenyu Huang
Accurate estimation of the dynamic states of a synchronous machine (e.g., rotor s angle and speed) is essential in monitoring and controlling transient stability of a power system.…
eess.SY2017
Adaptive Multi-Step Prediction based EKF to Power System Dynamic State Estimation
Shahrokh Akhlaghi, Ning Zhou
Power system dynamic state estimation is essential to monitoring and controlling power system stability. Kalman filtering approaches are predominant in estimation of synchronous ma…
eess.SY2017★ 1 cited
A Survey on Forced Oscillations in Power System
Mohammadreza Ghorbaniparvar
Oscillations in a power system can be categorized into free oscillations and forced oscillations. Many algorithms have been developed to estimate the modes of free oscillations in…