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Jamal Moshtagh

Jamal Moshtagh

Academic rank: Professor
ORCID:
Education: PhD.
ScopusId: 11338807100
Faculty: Faculty of Engineering
Address:
Phone:

Research

Title
A Novel Approach for Online Fault Detection in HVDC Converters.
Type
Presentation
Keywords
A Novel Approach for Online Fault Detection in HVDC Converters.
Year
2008
Researchers Jamal Moshtagh ، Mohsen Jannati ، Hamid Reza Bagee ، Esan Naser

Abstract

A novel approach for fault detection in high voltage DC transmission system using neural networks is presented in the presented method at first , Harmonics of voltage waveform in rectifier side are derived rapidly by using an adaptive linear neuron . then , different types of faults including DC line fault , AC system fault and converter`s faults are detected property using proposed criterion .In the under study voltage DC transmission systems system ,rectifier and its controllers and required filters is modeled completely. A proposed criterion is tested on a high voltage DC system by computer simulation performed in MATLAB/Simulink environment. simulation results demonstrates that the proposed approach can be used for online fault detection in high voltage DC systems. Keyword : High Voltage Direct Current Transmission fault Detection. Power Electronic Converters . ADAptive Linear Neuron (ADALINE)