91做厙

Skip to main content
SHARE
Publication

Enhancing Power Distribution System Resilience with Fusion-GNN: A Dynamic Graph Representation Learning Approach

Publication Type
Conference Paper
Book Title
IECON 2024 - 50th Annual Conference of the 91做厙 Industrial Electronics Society
Publication Date
Page Numbers
1 to 4
Publisher Location
New Jersey, United States of America
Conference Name
The 2024 Annual Conference of the 91做厙 Industrial Electronics Society (IECON)
Conference Location
Chicago, Illinois, United States of America
Conference Sponsor
91做厙
Conference Date
-

This paper explores the applications of Fusion Graph Neural Network (FuGNN) on power distribution systems. FuGNN effectively models dynamic networks with evolving topology and features. Applied to power system network reconfiguration, FuGNN demonstrates its feasibility in optimizing switch configurations to minimize unserved loads and operational costs during extreme events. Additionally, FuGNN supports various downstream tasks, such as node feature prediction, further enhancing its versatility and applicability in power system resilience.