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Found 9 papers, 0 papers with code
Machine learning classification of power converter control mode
To ensure the proper functioning of the current and future electrical grid, it is necessary for Transmission System Operators (TSOs) to verify that energy providers comply with the grid code and specifications provided by TSOs.
Closed-Form Solutions for Grid-Forming Converters: A Design-Oriented Study
This paper derives closed-form solutions for grid-forming converters with power synchronization control (PSC) by subtly simplifying and factorizing the complex closed-loop models.
Efficacy Analysis of Power Swing Blocking and Out-of-Step Tripping Functions in Grid-Following VSC Systems
Power flow oscillations can occur in power systems after major disturbances such as system faults, which may result in significant power swings and even lead to system collapse.
Control of Grid-Forming VSCs: A Perspective of Adaptive Fast/Slow Internal Voltage Source
Grid-forming (GFM) capability requirements are increasingly imposed on grid-connected voltage-source converters (VSCs).
Invariant and consistent: Unsupervised representation learning for few-shot visual recognition
Recent ideas propose to explore this problem in an unsupervised setting, i. e., without any labels in base classes, which reduces the heavy consumption of manual annotations.
Hyperspectral image reconstruction for spectral camera based on ghost imaging via sparsity constraints using V-DUnet
When applying deep learning into GISC spectral camera, there are several challenges need to be solved: 1) how to deal with the large amount of 3D hyperspectral data, 2) how to reduce the influence caused by the uncertainty of the random reference measurements, 3) how to improve the reconstructed image quality as far as possible.
Stability and Sensitivity Analysis of Multi-Vendor, Multi-Terminal HVDC Systems
The stability of multi-vendor, multi-terminal HVDC systems can be analyzed in frequency domain by black-box impedance models using the generalized Nyquist stability criterion.
A Rigid Registration Method in TEVAR
Since the mapping relationship between definitized intra-interventional X-ray and undefined pre-interventional Computed Tomography(CT) is uncertain, auxiliary positioning devices or body markers, such as medical implants, are commonly used to determine this relationship.
Anisotropic proximity-induced superconductivity and edge supercurrent in Kagome metal, K1-xV3Sb5
Through magnetoresistance and current vs. phase measurements, we observed magnetic field sweeping direction dependent magnetoresistance, and an anisotropic interference pattern with a Fraunhofer pattern for in-plane magnetic field, but a suppression of critical current for out-of-plane magnetic field.
Superconductivity
