Embedded, Real-Time, and Distributed Traveling Wave Fault Location Method Using Graph Convolutional Neural Networks

Embedded, Real-Time, and Distributed Traveling Wave Fault Location Method Using Graph Convolutional Neural Networks

This work proposes and develops an implementation of a fault location method to provide a fast and resilient protection scheme for power distribution systems. The method analyzes the transient dynamics of traveling waves (TWs) to generate features using the discrete wavelet transform (DWT), which ar...

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Bibliographic Details
Main Authors: Miguel Jiménez-Aparicio, Javier Hernández-Alvidrez, Armando Y. Montoya, Matthew J. Reno
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Energies
Subjects:
power system protection
fault location
traveling wave
discrete wavelet transform
graph convolutional networks
embedded real-time systems
Online Access:https://www.mdpi.com/1996-1073/15/20/7785

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