This paper is motivated by major needs for accurate on-line state estimation (SE) in the
emerging electrical energy systems; accurate state and topology are needed to support …

Traditional state estimators, which are based on steady state system model, cannot capture
the time-history data. The problem of state estimation combined with multiple sets of …

An unscented Kalman filter based dynamic state estimator (DSE) is described in this paper.
The measurements are assumed to be comprising of conventional as well as PMU …

State estimator (SE) is a critical tool in the power system control center (CC) and is used by
the system operators for real-time control and monitoring. Traditional SE techniques (static …

Dynamic State Estimation (DSE) is a critical tool for analysis, monitoring and planning of a
power system. The concept of DSE involves designing state estimation with Extended …

The state estimator's real-time state information plays a vital role in monitoring and control of
the power system. As a result, one of the primary requirements of the estimator is to provide …

Static state estimation in electric power systems is normally accomplished without the use of
time-history data or prediction. This paper presents preliminary work on the use of the …

This paper develops a robust iterated extended Kalman filter (EKF) based on the
generalized maximum likelihood approach (termed GM-IEKF) for estimating power system …

For decades, state estimation has been a fundamental aspect of power systems. However
for large-scale and wide-area interconnected power systems, the required computation …

The proper analysis and successful operation of a power system implies a reliable estimate
of its state. As a result state estimation (SE) is nowadays considered as the heart of modern …