Research on vulnerability assessment method of electric power network based on graph neural
ID：72
Submission ID：128 View Protection：ATTENDEE
Updated Time：2023-11-20 13:45:39 Hits：195
Oral Presentation
Start Time：2023-12-09 15:30 （Asia/Shanghai）
Duration：15min
Session：[S7] Power system protection and control » [S7] Power system protection and control
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Abstract
This paper proposes a vulnerability assessment method for power network based on graph neural network using complex network theory and graph neural network model. First, the eigenvector centrality (EC) in complex network theory is chosen as the measure of power system vulnerability. Second, an unsupervised power network vulnerability assessment model based on graph neural networks is established based on power system topological parameters and operational data. Finally, the learning effect and computational time efficiency of the model are explored, and the key nodes in the power network are identified.
Keywords
Graph neural network; Complex network; Eigenvector Centrality;
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