Traveling-wave fault location algorithms in hybrid multi-terminal networks with a tree-like structure
Traveling-wave methods of the fault location prove their practical efficiency for the power transmission lines (TL) with an arbitrary configuration of any voltage class. This paper formulates algorithms to automate the process of the fault location in the TLs with a tree-like structure. The error of...
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EDP Sciences
2019-01-01
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doaj-8633f2f467894b7c9bea8021dd741d892021-02-02T00:22:58ZengEDP SciencesE3S Web of Conferences2267-12422019-01-011240101210.1051/e3sconf/201912401012e3sconf_ses18_01012Traveling-wave fault location algorithms in hybrid multi-terminal networks with a tree-like structureKhuzyashev R. G.0Kuzmin I. L.1Tukaev S. M.2Tukhvatullin L. T.3Stepanova E. G.4Kazan State Power Engineering UniversityKazan State Power Engineering UniversityKazan State Power Engineering UniversityKazan State Power Engineering UniversityKazan State Power Engineering UniversityTraveling-wave methods of the fault location prove their practical efficiency for the power transmission lines (TL) with an arbitrary configuration of any voltage class. This paper formulates algorithms to automate the process of the fault location in the TLs with a tree-like structure. The error of the simplified traveling-wave fault location (TWFL) algorithm based on the average propagation velocity of the transient signals (TS) is analyzed. A tabular algorithm for TWFL, which considers different propagation velocities of the TS in different segments of a hybrid network is proposed. An adaptive TWFL algorithm that considers the registration of the TSs with known places of their occurrence is proposed, to reduce the impact of the inaccuracy of the initial different network segments’ lengths and TS’s propagation velocity determination.https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/50/e3sconf_ses18_01012.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Khuzyashev R. G. Kuzmin I. L. Tukaev S. M. Tukhvatullin L. T. Stepanova E. G. |
spellingShingle |
Khuzyashev R. G. Kuzmin I. L. Tukaev S. M. Tukhvatullin L. T. Stepanova E. G. Traveling-wave fault location algorithms in hybrid multi-terminal networks with a tree-like structure E3S Web of Conferences |
author_facet |
Khuzyashev R. G. Kuzmin I. L. Tukaev S. M. Tukhvatullin L. T. Stepanova E. G. |
author_sort |
Khuzyashev R. G. |
title |
Traveling-wave fault location algorithms in hybrid multi-terminal networks with a tree-like structure |
title_short |
Traveling-wave fault location algorithms in hybrid multi-terminal networks with a tree-like structure |
title_full |
Traveling-wave fault location algorithms in hybrid multi-terminal networks with a tree-like structure |
title_fullStr |
Traveling-wave fault location algorithms in hybrid multi-terminal networks with a tree-like structure |
title_full_unstemmed |
Traveling-wave fault location algorithms in hybrid multi-terminal networks with a tree-like structure |
title_sort |
traveling-wave fault location algorithms in hybrid multi-terminal networks with a tree-like structure |
publisher |
EDP Sciences |
series |
E3S Web of Conferences |
issn |
2267-1242 |
publishDate |
2019-01-01 |
description |
Traveling-wave methods of the fault location prove their practical efficiency for the power transmission lines (TL) with an arbitrary configuration of any voltage class. This paper formulates algorithms to automate the process of the fault location in the TLs with a tree-like structure. The error of the simplified traveling-wave fault location (TWFL) algorithm based on the average propagation velocity of the transient signals (TS) is analyzed. A tabular algorithm for TWFL, which considers different propagation velocities of the TS in different segments of a hybrid network is proposed. An adaptive TWFL algorithm that considers the registration of the TSs with known places of their occurrence is proposed, to reduce the impact of the inaccuracy of the initial different network segments’ lengths and TS’s propagation velocity determination. |
url |
https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/50/e3sconf_ses18_01012.pdf |
work_keys_str_mv |
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1724313956950999040 |