@inproceedings{1d89b81a4b584b0aaa6fa03ad7f26a3a,
title = "Detection of series DC arc on a distribution node using discrete-time parameter identification techniques",
abstract = "Discrete-time parameter identification techniques are studied extensively and are implemented to detect and localize the series arc discharge on a multi-load distribution node. The techniques include Recursive Least Squares (RLS) and the Kalman Filter (KF) which by estimating the line parameters - resistance and inductance will help monitor their condition. The systems electrical components vary abruptly during an arc discharge on a line of the grid. This disturbance from the arc discharge also travels to the adjacent loads and lines. The RLS and KF will then act as detectors functioning on a line and consequently help localize the faulted line/load. The two mentioned techniques delineate the variation in values of the grid parameters even for a large noisy arc.",
author = "Gajula, \{Kaushik K.\} and Luis Herrera and Xiu Yao",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 34th Annual IEEE Applied Power Electronics Conference and Exposition, APEC 2019 ; Conference date: 17-03-2019 Through 21-03-2019",
year = "2019",
month = may,
day = "24",
doi = "10.1109/APEC.2019.8722050",
language = "English",
series = "Conference Proceedings - IEEE Applied Power Electronics Conference and Exposition - APEC",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "3007--3012",
booktitle = "34th Annual IEEE Applied Power Electronics Conference and Exposition, APEC 2019",
address = "United States",
}