In realistic power system state estimation, the distribution of measurement noise is usually
assumed to be Gaussian while many researcher have verified that it can be non-Gaussian …

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 …

An analytical equation is derived using influence function approximation to calculate the
variance of the state estimate for traditional robust state estimators such as the Quadratic …

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 …

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

State estimation is a fundamental function of energy management system (EMS) and has
been practically used for many years. However, traditional weighted least square (WLS) …

In this paper, the concept of normal measurement rate (NMR) is defined based on the theory
of uncertainty in measurement and a robust state estimator named maximum normal …

The maximum exponential square (MES) provides an effective method for robust state
estimation. However, its estimation effect is greatly influenced by the window width. This …

Previous work has shown that robust state estimator based on maximum normal
measurement rate is accurate and reliable. However, in the existing algorithm, the optimal …

An accurate and dynamically robust state estimator is indispensable for the efficient and
reliable operation of a power system. In this paper, a state estimation method based on …