Session Materials

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

Ref C2-10937-2024 • 2024
  • This publication is free only for CIGRE members
  • 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 Free

Authors

Rafael DE OLIVEIRA FERNANDES, Maria Cristina DIAS TAVARES

Keywords

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

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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