Convolutional Neural Network for the Classification of the Control Mode of Grid-Connected Power Converters

Convolutional Neural Network for the Classification of the Control Mode of Grid-Connected Power Converters

With the integration of power converters into the power grid, it becomes crucial for the Transmission System Operator (TSO) to ascertain whether they are operating in Grid Forming or Grid Following modes. Due to intellectual properties, classification can only be performed based on non-intrusive mea...

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Bibliographic Details
Main Authors: Rabah Ouali, Martin Legry, Jean-Yves Dieulot, Pascal Yim, Xavier Guillaud, Frédéric Colas
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Energies
Subjects:
grid forming
grid following
deep learning
convolutional neural network
frequency admittance
Online Access:https://www.mdpi.com/1996-1073/17/24/6458
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