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 …

In traditional power system state estimation application, the distribution of measurement
noise is frequently assumed to be Gaussian. However, the distribution is sometimes …

In practical power system applications, the distribution of the measurement noise is
sometimes unknown and deviates from the assumed Gaussian noise model due to …

The distribution of measurement noise is commonly considered as an assumed Gaussian
model in power systems, but this assumption is not always true in reality. This article …

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) …

Deregulation of energy markets, penetration of renewables, advanced metering capabilities,
and the urge for situational awareness, all call for system-wide power system state …

In this paper, a generic formulation is proposed for robust state estimation (RSE) based on
maximum correntropy criterion (MCC), leading to an adaptive robust state estimator. By …

In practical applications like power system, the distribution of the measurement noise is
unknown or frequently deviates from the assumed Gaussian model, often being …

As the industries transit towards industrial integration and informatization, the many
advantages from interdisciplinary collaborations come with added technical challenge …

This study introduces a robust orthogonal implementation for a new class of information
theory‐based state estimation algorithms that rely on the maximum correntropy criterion …