End-to-End Deep Graph Convolutional Neural Network Approach for Intentional Islanding in Power Systems Considering Load-Generation Balance

End-to-End Deep Graph Convolutional Neural Network Approach for Intentional Islanding in Power Systems Considering Load-Generation Balance

Intentional islanding is a corrective procedure that aims to protect the stability of the power system during an emergency, by dividing the grid into several partitions and isolating the elements that would cause cascading failures. This paper proposes a deep learning method to solve the problem of...

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Bibliographic Details
Main Authors: Zhonglin Sun, Yannis Spyridis, Thomas Lagkas, Achilleas Sesis, Georgios Efstathopoulos, Panagiotis Sarigiannidis
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Sensors
Subjects:
intentional islanding
deep learning
graph convolutional networks
grap h partition
spectral clustering
power system
Online Access:https://www.mdpi.com/1424-8220/21/5/1650

Internet

https://www.mdpi.com/1424-8220/21/5/1650

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