Artificial Neural Networks: Modeling and Comparison to Detect High Impedance Faults

Artificial Neural Networks: Modeling and Comparison to Detect High Impedance Faults

High impedance faults constitute one of the biggest challenges in electrical power systems. In overhead distribution systems, faults are caused by tree branches that touch the electrical grid or by the rupture of energized conductors on low conductivity soils. They are also known as low-current faul...

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Bibliographic Details
Main Authors: Andressa Tais Diefenthaler, Airam Teresa Zago Romcy Sausen, Mauricio De Campos, Paulo Sergio Sausen, Joao Manoel Lenz
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
High impedance faults
detection
electrical system
artificial neural network
modeling
performance comparison
Online Access:https://ieeexplore.ieee.org/document/10304113/

Internet

https://ieeexplore.ieee.org/document/10304113/

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