Applying Artificial Neural Networks and Nonlinear Optimization Techniques to Fault Location in Transmission Lines—Statistical Analysis

Applying Artificial Neural Networks and Nonlinear Optimization Techniques to Fault Location in Transmission Lines—Statistical Analysis

This study presents applications of artificial neural networks and nonlinear optimization techniques for fault location in transmission lines using simulated data in an electromagnetic transient program and actual data occurring in transmission lines. The localization is performed by a modular struc...

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Bibliographic Details
Main Authors: Simone A. Rocha, Thiago G. Mattos, Rodrigo T. N. Cardoso, Eduardo G. Silveira
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Energies
Subjects:
fault location
transmission line
artificial neural network
nonlinear optimization
statistical analysis
Online Access:https://www.mdpi.com/1996-1073/15/11/4095

Internet

https://www.mdpi.com/1996-1073/15/11/4095

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