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