Identification of vulnerable nodes in power grids based on graph deep learning algorithm

Abstract Comprehensive and timely identification of vulnerable nodes is of great significance to ensure the security of the power system. With the development of power grids, traditional identification methods for vulnerable nodes with high operational risks can no longer meet the actual operation n...

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Bibliographic Details
Main Authors: Xueping Gu, Tong Liu, Shaoyan Li, Xiaodong Yang, Xin Cao
Format: Article
Language:English
Published: Wiley 2023-05-01
Series:IET Generation, Transmission & Distribution
Subjects:
Online Access:https://doi.org/10.1049/gtd2.12783

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