Accurate measurement of the rotor angle and speed of synchronous generators is
instrumental in developing powerful local or wide-area control and monitoring systems to …

The traditional unscented Kalman filter (UKF) with mean square error (MSE) criterion for
dynamic state estimation (DSE) is sensitive for unknown non-Gaussian noise and outliers …

Dynamic state estimation is essential in case of various monitoring, control, and protection
strategies that are designed based on the state‐space model. Kalman filter‐based …

Power system monitoring and control relies on the result of dynamic state estimation.
Installation of PMU in power grids in recent years makes it possible to study the dynamic …

Data from phasor measurement units (PMUs) may be exploited to provide steady state
information to the applications which require it. As PMU measurements may contain errors …

Dynamic state estimation of power networks has received increasing attention recently due
to the penetration of distributed generation and the introduction of fast measuring devices …

Dynamic states of a synchronous machine, ie rotor angle and rotor speed, are important
variables for power system control, studies and analysis. Availability or estimating of these …

This contribution presents a time‐domain methodology for harmonic state estimation of
power systems with nonlinear loads based on the extended Kalman filter (EKF). The output …

With the increased penetration of distributed energy resources (DERs) at lower voltage
levels, distribution networks (DNs) are being transformed into active grids. This has led to a …

Within the energy generation framework from hydraulic sources, salient-pole synchronous
machines are the main components and considerably influence the behavior of power …