Issue |
E3S Web Conf.
Volume 114, 2019
International Conference of Young Scientists “Energy Systems Research 2019”
|
|
---|---|---|
Article Number | 04001 | |
Number of page(s) | 5 | |
Section | Power Quality | |
DOI | https://doi.org/10.1051/e3sconf/201911404001 | |
Published online | 04 September 2019 |
Power quality in high voltage mains supplying mainline railroads’ traction substations
1 Bratsk State University, Bratsk, Russia
2 Irkutsk State Transport University, Irkutsk, Russia
3 Irkutsk National Research Technical University, Irkutsk, Russia
The increase in the trains weight and their operation speeds leads to considerable growth of abrupt-variable, non-linear and one-phase traction loads. This, in its own turn, leads to significant deviations, unsymmetry and voltage harmonic distortions in 110-220 kV mains adjacent to traction substations of AC railroads. Significant deterioration in power quality factors is observed in Siberian and Far East regions where 110-220 kV main power transmission lines are immediately adjacent to Transsib traction substations; in this case, in points with lower levels of short circuit power, power quality factors exceed by far the permissible levels. The articles provides the results of studies aimed at solution of power quality enhancement is-sues for mains adjacent to traction substations of Trans-Siberian Railway. To enhance power quality in mains supplying traction substations, smart grid technologies can be used together with multiagent control systems. Technical solutions, based on the results obtained, are proposed that allow to bring the power quality factors to the regulatory values. Due to a big investments amount, an implementation of tar-get program is needed to resolve the large-scale issue of enhancing power quality in mains adjacent to traction substations of AC railroads.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.