Results 81 to 90 of about 15,164,145 (290)

Small-Signal Stability of Grid-Forming Control for Doubly-Fed Induction Generators: A Comparative Study of Different Control Algorithms

open access: yesIEEE Access
This paper presents a comprehensive small-signal stability analysis of three widely used grid-forming (GFM) control strategies, namely droop control, virtual synchronous generator (VSG), and generalized VSG (GVSG), implemented on a doubly-fed induction ...
Husni Rois Ali   +2 more
doaj   +1 more source

Symmetry‐Guided Multifunctional Acoustic System Based on Mechanically Actuated Sonic Crystals

open access: yesAdvanced Engineering Materials, EarlyView.
This study presents the design, simulation, and experimental validation of amultifunctional acoustic metamaterial based on rotationally engineered sonic crystals.By tuning cylinder orientations, controllable band gaps and six distinct functionalities—including switching, topological insulation, beam splitting, and logic operations—areachieved ...
Yuanyan Zhao   +2 more
wiley   +1 more source

A cooperative control strategy for power quality based on parallel grid-connected converters

open access: yes电力工程技术
Power quality control based on grid-connected converter can effectively utilize the surplus capacity of the converter and improves the benefits. However, existing methods tend to only consider grid-following (GFL) control and fail to fully utilize the ...
LIANG Xiaorui   +5 more
doaj   +1 more source

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

open access: yesAdvanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran   +6 more
wiley   +1 more source

Grid Global Behavior Prediction [PDF]

open access: yes, 2011
Complexity has always been one of the most important issues in distributed computing. From the first clusters to grid and now cloud computing, dealing correctly and efficiently with system complexity is the key to taking technology a step further.
Montes, Jesús   +5 more
core   +1 more source

Reduced-Order Modeling and Stability Analysis of Grid-Following and Grid-Forming Hybrid Renewable Energy Plants

open access: yesEnergies
The control methods of energy systems can be categorized into grid-following and grid-forming types. The grid-following control method relies on grid synchronization and is prone to stability issues in weak grid conditions.
Yue Ma, Ning Chen, Luming Ge
doaj   +1 more source

Enhanced grid-following BESS control strategy for unbalanced voltage sag conditions

open access: yesJournal of Energy Storage
Battery energy storage systems (BESS) play a pivotal role in modern power systems, with most implementations found in distribution networks that operate using a grid-following (GFL) approach. However, these networks often experience voltage unbalances that can negatively impact BESS operation.
Alfredo Velázquez Ibáñez   +4 more
openaire   +1 more source

Operation and control of multiterminal HVDC grids following the loss of an onshore converter

open access: yes2013 IEEE PES Conference on Innovative Smart Grid Technologies (ISGT Latin America), 2013
A fully operational Multi-Terminal DC (MTDC) grid will play a key role for the creation of AC systems interconnection and to integrate offshore wind farms. Disturbances (at both AC and DC side) may culminate in the sudden disconnection of onshore HVDC-VSC (High Voltage Direct Current - Voltage Source Converter).
B. Silva, C. L. Moreira, H. Leite
openaire   +2 more sources

Machine Learning‐Supported Analysis for Predicting and Visualizing Nonlinear Relationships Between Material Properties in Electroplated Chromium Layers

open access: yesAdvanced Engineering Materials, EarlyView.
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer   +4 more
wiley   +1 more source

Enabling Power System Restoration from Offshore Wind Power Plants in the UK

open access: yesEnergies
This paper presents the findings from the initial phases of the SIF BLADE project, focused on demonstrating the capabilities of an offshore wind power plant (OWPP) for power system restoration (PSR).
Rui Alves   +3 more
doaj   +1 more source

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