Return traction current system’s operation in cold climate regions
The paper deals the problem of the reverse traction current's asymmetry at the AC electrified railways. The features of return traction current system’s operation under conditions of cold climate are considered. The goal of work is to determinate value of return traction current asymmetry coeff...
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EDP Sciences
2019-01-01
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Online Access: | https://www.matec-conferences.org/articles/matecconf/pdf/2019/14/matecconf_gccets2018_02009.pdf |
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doaj-f9d06df213b24361b348041bed6f3e062021-02-02T01:37:34ZengEDP SciencesMATEC Web of Conferences2261-236X2019-01-012650200910.1051/matecconf/201926502009matecconf_gccets2018_02009Return traction current system’s operation in cold climate regionsMakasheva Svetlana0Pinchukov Pavel1Far Eastern State Transport UniversityFar Eastern State Transport UniversityThe paper deals the problem of the reverse traction current's asymmetry at the AC electrified railways. The features of return traction current system’s operation under conditions of cold climate are considered. The goal of work is to determinate value of return traction current asymmetry coefficient for cold climate regions operating AC electrified railways. To achieve the goal the methods of scientific analysis, imitation modelling, experimental study are used. Types and rationing of return traction current asymmetry are accented. The return traction current system model is created in Multisim 12.0 software for analyse the degree of various factors influence on the return traction current's asymmetry. Main influencing factors for asymmetry coefficient in cold climate regions as a traction current value and catenary tower resistance are considered. The calculated graphic dependences of the asymmetry coefficient as a function of the traction current and the catenary tower resistance are given. Algorithm for identifying the critical zones (hazardous areas) by graphical dependencies and predicting the system's predicament states is described.https://www.matec-conferences.org/articles/matecconf/pdf/2019/14/matecconf_gccets2018_02009.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Makasheva Svetlana Pinchukov Pavel |
spellingShingle |
Makasheva Svetlana Pinchukov Pavel Return traction current system’s operation in cold climate regions MATEC Web of Conferences |
author_facet |
Makasheva Svetlana Pinchukov Pavel |
author_sort |
Makasheva Svetlana |
title |
Return traction current system’s operation in cold climate regions |
title_short |
Return traction current system’s operation in cold climate regions |
title_full |
Return traction current system’s operation in cold climate regions |
title_fullStr |
Return traction current system’s operation in cold climate regions |
title_full_unstemmed |
Return traction current system’s operation in cold climate regions |
title_sort |
return traction current system’s operation in cold climate regions |
publisher |
EDP Sciences |
series |
MATEC Web of Conferences |
issn |
2261-236X |
publishDate |
2019-01-01 |
description |
The paper deals the problem of the reverse traction current's asymmetry at the AC electrified railways. The features of return traction current system’s operation under conditions of cold climate are considered. The goal of work is to determinate value of return traction current asymmetry coefficient for cold climate regions operating AC electrified railways. To achieve the goal the methods of scientific analysis, imitation modelling, experimental study are used. Types and rationing of return traction current asymmetry are accented. The return traction current system model is created in Multisim 12.0 software for analyse the degree of various factors influence on the return traction current's asymmetry. Main influencing factors for asymmetry coefficient in cold climate regions as a traction current value and catenary tower resistance are considered. The calculated graphic dependences of the asymmetry coefficient as a function of the traction current and the catenary tower resistance are given. Algorithm for identifying the critical zones (hazardous areas) by graphical dependencies and predicting the system's predicament states is described. |
url |
https://www.matec-conferences.org/articles/matecconf/pdf/2019/14/matecconf_gccets2018_02009.pdf |
work_keys_str_mv |
AT makashevasvetlana returntractioncurrentsystemsoperationincoldclimateregions AT pinchukovpavel returntractioncurrentsystemsoperationincoldclimateregions |
_version_ |
1724311426207580160 |