With the current power system being electronicized nowadays, synchrophasor estimation
(SE) plays an increasingly critical role in the monitoring, analysis, and protection of the state …

In this technical communique, we propose a novel observer-based adaptive scheme to deal
with the parameter estimation problem of biased sinusoidal signals. Different from the …

The goal of this study is to evaluate the performance of the fast algorithm for synchrophasor
estimation proposed on the basis of a physical system. The test system is represented by a …

Frequency is one of the essential parameters for monitoring, control, and protection in power
systems. Some protection devices use frequency for deciding under various conditions of …

A fast and precise dynamic phasor estimation algorithm using an adaptive improved second
order Levenberg–Marquadt algorithm under stressed and off-nominal frequency …

Phasor measurement units (PMUs) have made real‐time monitoring and control of power
systems possible, thanks to their time synchronisation and fast reporting rate. It is critical that …

Two algorithms namely variable centre maximum correntropy based recursive Gauss
Newton filter (VCMC-RGN) and variable centre maximum correntropy based ℓ 1-norm …

In this paper, a frequency estimation method based on a revised three-level discrete Fourier
transform (DFT) with an estimation delay reduction technique is proposed. First, the input …

The article presents a new, discrete-time algorithm for measuring power system frequency.
The developed algorithm is based on the linear prediction of samples filtered in a low-pass …

This brief proposes an observer-based adaptive approach for predefined-time parameter
estimation of biased sinusoidal signals. By employing this observer-based adaptive strategy …