Solar, wind and their hybridization integration for multi-machine power system oscillation controllers optimization: a review
Massive growth in global electrical energy demand has necessitated a genuine exploration
and integration of solar and wind energy into the electrical power mix. This incorporation …
and integration of solar and wind energy into the electrical power mix. This incorporation …
Enhancing the Dynamic Stability of Integrated Offshore Wind Farms and Photovoltaic Farms Using STATCOM with Intelligent Damping Controllers
KH Lu, Q Rao - Sustainability, 2023 - mdpi.com
To build a large-scale renewable energy integrated system in the power system, power
fluctuation mitigation and damping measures must be implemented during grid connection …
fluctuation mitigation and damping measures must be implemented during grid connection …
Enhanced Dynamic Performance in Hybrid Power System Using a Designed ALTS-PFPNN Controller
KH Lu, CM Hong, FS Cheng - Energies, 2022 - mdpi.com
The large-scale, nonlinear and uncertain factors of hybrid power systems (HPS) have
always been difficult problems in dynamic stability control. This research mainly focuses on …
always been difficult problems in dynamic stability control. This research mainly focuses on …
[PDF][PDF] Study of the Angular Positioning of a Rotating Object with Neural Model Reference Control
C Voloşencu - WSEAS Transactions on Computers, 2021 - researchgate.net
The study in the paper is placed in the broad context of research for increasing the efficiency
of motion control. The purpose of the paper is to make a comparative analysis of the neural …
of motion control. The purpose of the paper is to make a comparative analysis of the neural …
Real-Time Implementation of GPU-Accelerated Neural Network Learning for Dynamic System Identification
N Autobee, A Rowsell, P Bales-Parks… - 2021 IEEE Energy …, 2021 - ieeexplore.ieee.org
The progression of deep neural networks (DNN) has allowed for new solutions to control
problems in power electronics. Many works have supplemented controllers with DNNs in …
problems in power electronics. Many works have supplemented controllers with DNNs in …
Deep Neural Network Learning for Dynamic System Identification in Real-Time Using an Embedded GPU
N Autobee - 2021 - search.proquest.com
The progression of deep neural networks (DNN) has allowed for new solutions to control
problems in power electronics. Many works have supplemented controllers with DNNs in …
problems in power electronics. Many works have supplemented controllers with DNNs in …