Session Materials

Commutation Failure Prediction in the HVDC Multi-Infeed Scenario in Brazil Using Neural Network Technique Application

Ref C2-10937-2024 • 2024
  • Price for member: 20 €
  • Price for non member: 30 €
Commutation Failure Prediction in the HVDC Multi-Infeed Scenario in Brazil Using Neural Network Technique Application

Summary

Session Delegates (Members and non-members): access these materials for free via your Session registration account.

Additional informations

Publication type Session Materials
Reference C2-10937-2024
Publication year
Publisher CIGRE
Study committees
  • Power system operation and control (C2)
File size 2 MB
Price for non member 30 €
Price for member 20 €

Authors

Rafael DE OLIVEIRA FERNANDES, Maria Cristina DIAS TAVARES

Keywords

Commutation Failure, HVDC, Artificial Neural Networks, Synchrophasor Measurement, Predictive Index

Top of the page

Commutation Failure Prediction in the HVDC Multi-Infeed Scenario in Brazil Using Neural Network Technique Application
Commutation Failure Prediction in the HVDC Multi-Infeed Scenario in Brazil Using Neural Network Technique Application