Julio Arita Torres

Universidade Federal do ABC (UFABC) | UFABC · Department of Instrumentation Engineering, Automation and Robotics:

This paper presents three intelligent approaches for fault detection, classification and location in a three-terminal VSC-HVDC system. The proposed approaches are all based on ANNs, although each one has a specific pre-processing step to process the DC current samples. The approaches were implemented in Matlab, while the adopted three-terminal VSC-...

The aim of this paper is to develop a methodology based on pattern recognition of DC voltage signals for fault location in HVDC transmission systems. By using the shape similarity amongst voltage signals, an ANN is trained as a pattern recognizer to correlate post-fault DC voltage to fault distances on a DC line. The CIGRE HVDC benchmark system was...