@inproceedings{6b84c05730c84281a6e1a203008e8918,
title = "Fault identification in distribution systems using maximum overlap wavelet decomposition",
abstract = "This paper presents a novel voltage-based protection element using MODWT wavelet coefficients. This helps improve the sensitivity of existing current-based protection which can be subjected to sensitivity issues given the evolving distribution grids with multiple generation sites. The analysis of the voltage transient immediately after a disturbance can provide much useful information about the nature of the disturbance, which may otherwise be hidden. Therefore, augmenting transient based fault detection to existing techniques can improve the system protection. The proposed algorithm analyses the relative and individual content of high and low wavelet-level coefficients to reliably detect faults, and not trigger during non-fault disturbances like capacitor switching. The performance of the element is validated using results from power system simulation models and field event reports.",
keywords = "Distributed Generation, Distribution System, Fault-Induced Transients, Protection, Relaying, Wavelet Coefficients, Wavelet Transform",
author = "Rishabh Jain and Yuhua Du and Srdjan Lukic and David Lubkeman",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 North American Power Symposium, NAPS 2017 ; Conference date: 17-09-2017 Through 19-09-2017",
year = "2017",
month = nov,
day = "13",
doi = "10.1109/NAPS.2017.8107297",
language = "英语",
series = "2017 North American Power Symposium, NAPS 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2017 North American Power Symposium, NAPS 2017",
}