The Kalman-filter-based algorithms as the mainstream algorithms of dynamic state
estimation of power systems have been extensively used to provide accurate data for power …

This paper extends synchrophasor algorithms approximating C37. 118.1 filtering
requirements to provide phasor measurement units (PMUs) with the capability of accurately …

The Kalman filter (KF) algorithms based on traditional models, which, applied in real-time
detection of grid voltage, have the margin to improve tracking accuracy. Their tracking …

This study presents a new reference current estimation method using proposed robust
extended complex Kalman filter (RECKF) together with model predictive current (MPC) …

This paper presents the maiden application of a variant of Kalman Filter algorithm known as
Local Ensemble Transform based Kalman Filter (LET-KF) for power system harmonic …

This paper proposes a linear quadratic Gaussian (LQG) servo controller for the current
control of shunt-active power filter (SAPF) operating under balanced and unbalanced supply …

This paper reports the performance of a linear Kalman filter (LKF)-based technique to
estimate the single-phase grid voltage fundamental amplitude and frequency under …

This paper presents a unique two-fold adaptive linear neural network (ADALINE) for fast and
accurate measurement of fundamental, harmonics, sub-harmonics, inter-harmonics and …

A hybrid particle swarm optimisation (PSO) and genetic algorithm (GA) aided Kalman filter
(PSO‐GA‐KF) method for dynamic harmonic state estimation in the power system is …

Correct estimation of harmonics and sequence components is essential to monitor the
overall performance of three phase power systems. Least mean square (LMS) based …