A Transductive Graph Neural Network learning for Grid Resilience Analysis

Gautam, Priyanka; Sreejith, Amulya; Natarajan, Balasubramaniam

doi:10.1109/SmartGridComm57358.2023.10333912

A Transductive Graph Neural Network learning for Grid Resilience Analysis

Conference · Tue Oct 31 04:00:00 EDT 2023

DOI:https://doi.org/10.1109/SmartGridComm57358.2023.10333912· OSTI ID:2998563

Gautam, Priyanka ^[1]; Sreejith, Amulya ^[1]; Natarajan, Balasubramaniam ^[1]

Kansas State University,Electrical and Computer Engineering,Manhattan,USA

Power grids are critical infrastructures that require robust resilience analysis to ensure reliable and uninterrupted electricity supply. Traditional simulation-based methods for grid resilience analysis suffer from computational complexity and limited ability to capture the full spectrum of potential disruptions. This paper presents a novel approach to enhance grid resilience by leveraging transductive graph neural network (GNN) learning to identify critical nodes and links. By leveraging the graph structure and system features, GNNs effectively learn resilience metrics and accurately identify critical nodes based on actual grid operational behavior. The efficacy of the proposed approach is demonstrated through case studies on node criticality scoring and critical node/line identification in cascading outage scenarios. The results highlight the advantages of learning-based methods over traditional simulation-based approaches and their potential to revolutionize grid resilience analysis. The contributions of this paper include a graph-based scalable approach for fast cascading analysis, an inductive formulation for training GNN models, and a transfer learning-based approach to scale the model to largescale power systems.

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Research Organization:: Golden Field Office, Golden, CO (United States)

Sponsoring Organization:: National Science Foundation; Office of Energy; Solar Energy Technologies Office

DOE Contract Number:: EE0010416

OSTI ID:: 2998563

Country of Publication:: United States

Language:: English

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A Transductive Graph Neural Network learning for Grid Resilience Analysis

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References (16)

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