@inproceedings{a05351d7efcd426a8e9d23f5cb6ed21b,
title = "Fault analysis of VSC HVDC systems using fuzzy logic",
abstract = "The detection and clearance of faults are important for safe and optimal operation of any HVDC system. A feasible method is required for protective control for secure operation of HVDC system during faults. This paper presents the identification and classification of different faults that can occur in a VSC-HVDC system with the help of a fuzzy logic method. Simulation studies of various ac side faults in the VSC-HVDC system such as single-line to ground, double-line to ground, line-line and HVDC transmission line (DC link) faults have been carried out. Based on the study, a Fuzzy Inference Engine (FIE) has been developed for the fault identification in a VSC-HVDC system. The magnitude of dq - axis voltage and current obtained from source 1 voltage and current using the Park transformation are used as input variables in the FIE. The FIE derives a fault index which is used to identify the type of fault occurrence in the HVDC system. A set of simulation results are provided to show the effectiveness of the developed FIE for the power transfer of 110\%, 80\%, 50\%, and 30\% from source 1 to source 2 through the HVDC system.",
keywords = "VSC-HVDC, fault analysis, fault classification, fault detection, fuzzy logic",
author = "Benish Paily and S. Kumaravel and Malabika Basu and Michael Conlon",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 2015 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems, SPICES 2015 ; Conference date: 19-02-2015 Through 21-02-2015",
year = "2015",
month = apr,
day = "21",
doi = "10.1109/SPICES.2015.7091543",
language = "English",
series = "2015 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems, SPICES 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Suresh Rangan and Vinod Pathari",
booktitle = "2015 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems, SPICES 2015",
address = "United States",
}