[HTML][HTML] Review on advanced control techniques for microgrids

R Marimuthu - Energy Reports, 2023 - Elsevier
Grid frequency regulation is essential for a reliable power grid. Whilst in distributed energy
sources,(DERs) power fluctuations arise from the imbalance of frequency. There are multiple …

Decaying DC offset current mitigation in phasor estimation applications: A review

S Mohammadi, A Mahmoudi, S Kahourzade, A Yazdani… - Energies, 2022 - mdpi.com
Decaying DC (DDC) offset current mitigation is a vital challenge in phasor current estimation
since it causes malfunctioning/maloperation of measurements and protection systems. Due …

Sliding innovation filter to estimate power converters of electric vehicles

M AlShabi, A Gadsden… - Energy Harvesting and …, 2023 - spiedigitallibrary.org
The sliding innovation filter (SIF) is a recently developed estimation technique that has
gained widespread use. It is a predictor-corrector filter that utilizes a hyperplane and applies …

Sliding innovation filter for micorgrid application

M AlShabi, K Obaideen, A El Nady… - … Fusion, and Target …, 2023 - spiedigitallibrary.org
Currently, microgrids are frequently used and various control algorithms have been applied
to improve their performance in both grid-connected and islanded modes. However …

The formulation of the sequential sliding innovation filter and its application to complex road maneuvering

M AlShabi, K Obaideen… - Sensors and Systems for …, 2023 - spiedigitallibrary.org
This study presents the development of a new filter, the sequential sliding innovation filter
(SSIF), designed for estimating quantities of interest from noisy measurements. The SIF is …

The extended Luenberger sliding innovation filter

M AlShabi, A Gadsden… - Radar Sensor Technology …, 2023 - spiedigitallibrary.org
The sliding innovation filter is a newly developed filter that was derived in 2020 to be a
predictor-corrector filter. The filter uses the measurement as a hyperplane, and then applies …

Parallel Kalman filter group integrated particle filter method for the train nonlinear operational status high-precision estimation under non-Gaussian environment

T Wen, J Liu, Y Cao, C Roberts - Accident Analysis & Prevention, 2023 - Elsevier
For the problem of multi-mode state estimation in actual train operation, this paper proposes
a nonlinear non-gaussian high-precision parallel Kalman filter group (NN-HEKFG) …

Three-Dimensional (3D) Visualization under Extremely Low Light Conditions Using Kalman Filter

HW Kim, M Cho, MC Lee - Sensors, 2023 - mdpi.com
In recent years, research on three-dimensional (3D) reconstruction under low illumination
environment has been reported. Photon-counting integral imaging is one of the techniques …

A redundant measurement-based maximum correntropy extended Kalman filter for the noise covariance estimation in INS/GNSS integration

D Wang, H Zhang, H Huang, B Ge - Remote Sensing, 2023 - mdpi.com
The resolution accuracy of the inertial navigation system/global navigation satellite system
(INS/GNSS) integrated system would be degraded in challenging areas. This paper …

[HTML][HTML] A continuous time model for observer-based frequency tracking

MMS Pasand, AA Ahmadi - Results in Control and Optimization, 2023 - Elsevier
Frequency tracking has been the focus of several research works for decades. One common
method is to utilize a state observer to dynamically estimate the frequency of the measured …