[Oral Presentation]Research on vulnerability assessment method of electric power network based on graph neural

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:206 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;
Speaker
Zijian Wan
student Southwest Jiaotong University

Submission Author
Zijian Wan Southwest Jiaotong University
Xu Liu Southwest Jiaotong University
Yeqing Zhang Southwest Jiaotong University
Yan Wang Southwest Jiaotong University
Yida Zeng Southwest Jiaotong University
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