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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
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← Back to VOLUME 6, ISSUE 3, MARCH 2017

Condition Monitoring of Back to Back HVDC Transmission System using Artificial Neural Network

Disharika Badgotiya, Dr. Pragya Nema

DOI: 10.17148/IJARCCE.2017.63225

Abstract: Fault detection process is much more complex in HVDC systems as many circuits and accessories are involved in this system which is much than HVAC systems. Here an attempt is made to monitor the condition of whole HVDC system. The HVDC system not only involves converter and inverter but have other parts too which are; grid systems, firing circuits, filters, sensing units, protections system and transmission lines. The condition monitoring involve overall present situations of entire system which ultimately ease the operation and maintenance of system and prevent unpredicted breakdowns. The proposed work is a condition monitoring system for back to back HVDC system using artificial neural network.



Keywords: Artificial Neural Network, Faults, HVDC System, Training.

How to Cite:

[1] Disharika Badgotiya, Dr. Pragya Nema, “Condition Monitoring of Back to Back HVDC Transmission System using Artificial Neural Network,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2017.63225