@inproceedings{0497708095e74d149c2f6ad05930430e,
title = "A Novel Fault Location Technique for Transmission Lines of a Power System Based on a Language of an Optimization Problem",
abstract = "This paper proposes a novel fault location technique for transmission lines of a power system which is based on the language of an optimization problem. A modified artificial bee colony (ABC) algorithm is presented to resolve this optimization problem. The three line fault (L-L-L), three lines to ground fault (L-L-L-G), double line fault (L-L), double lines to ground fault (L-L-G) and single line to ground fault (L-G); asynchronous angle of the two-terminal data; and distances to various fault positions are assumed in this paper. Numerical results demonstrate the efficiency of the modified ABC algorithm in the asynchronous angle estimation and the fault location of transmission lines of the power system. Additionally, the results of using the modified ABC algorithm are also compared with those of using other existing algorithms showing the superiority of the proposed algorithm in the applications of the asynchronous angle estimation and the fault location.",
keywords = "Artificial bee colony algorithm, Fault location, Transmission line",
author = "Truong, {Thanh H.} and Huynh, {Duy C.} and Truong, {Anh V.} and Dunnigan, {Matthew W.}",
year = "2021",
doi = "10.1007/978-3-030-62324-1_23",
language = "English",
isbn = "9783030623234",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer",
pages = "268--280",
editor = "Yo-Ping Huang and Wen-June Wang and Quoc, {Hoang An} and Giang, {Le Hieu} and Nguyen-Le Hung",
booktitle = "Computational Intelligence Methods for Green Technology and Sustainable Development. GTSD 2020",
note = "5th International Conference on Green Technology and Sustainable Development 2020, GTSD 2020 ; Conference date: 27-11-2020 Through 28-11-2020",
}