In power systems, state estimation (SE) is a widely investigated method to collate field
measurements and power flow (PF) equations to derive the most-likely state of the observed …

The distribution of measurement noise applied in practical power system state estimation
(PSSE) can deviate from the assumed Gaussian model, and the performance of an estimator …

For power system state estimation, the measurement noise is usually assumed to follow the
Gaussian distribution, and the widely used estimator is the weighted least squares (WLS) …

Even though the noise model applied in power system dynamic state estimation (DSE) is
usually assumed to be Gaussian, this is not the case due to the unknown system inputs …

Phasor measurement units (PMUs) are the cornerstone of intelligent sensing and monitoring
of power systems. The superiority of the sinc interpolation function-based least squares …

The accurate estimation of power system states is crucial for effective monitoring and control.
However, the performance of conventional state estimators, which assume Gaussian …

The Gaussian noise distribution is typically used in dynamic state estimation (DSE) but it is
not always true in practice because of abnormal system inputs, impulsive noise and …

Phasor measurement units (PMUs) are becoming more popular in power systems and most
of the distributed state estimation methods are based on the Gaussian measurement noise …

To provide real-time visibility of physics-based states, phasor measurement units (PMUs)
are deployed throughout power networks. PMU data enable real-time grid monitoring and …

A robust distributed state estimation algorithm for AC/DC system with AC tie lines and high
voltage direct current (LCC-HVDC) tie lines is proposed. The proposed algorithm consists of …