Spatial-Temporal Recurrent Graph Neural Networks for Fault Diagnostics in Power Distribution Systems

Spatial-Temporal Recurrent Graph Neural Networks for Fault Diagnostics in Power Distribution Systems

Fault diagnostics are extremely important to decide proper actions toward fault isolation and system restoration. The growing integration of inverter-based distributed energy resources imposes strong influences on fault detection using traditional overcurrent relays. This paper utilizes emerging gra...

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Bibliographic Details
Main Authors: Bang L. H. Nguyen, Tuyen V. Vu, Thai-Thanh Nguyen, Mayank Panwar, Rob Hovsapian
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Fault detection
fault location
microgrid protection
deep neural network
graph learning
Online Access:https://ieeexplore.ieee.org/document/10119158/

Internet

https://ieeexplore.ieee.org/document/10119158/

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