Proceedings of the VIth International Workshop 'Critical Infrastructures: Contingency Management, Intelligent, Agent-Based, Cloud Computing and Cyber Security' (IWCI 2019)

Electromagnetic Environment Management in Smart Railroad Power Systems

Authors
Natalia Buyakova, Vasily Zakaryukin, Andrey Kryukov
Corresponding Author
Natalia Buyakova
Available Online September 2019.
DOI
10.2991/iwci-19.2019.12How to use a DOI?
Keywords
railroad; power system; smart grid; electromagnetic safety; modeling
Abstract

The main features of power generating industry contempo-rary stage are transition to the new technological platform based on smart grid concept. This concept is fully applicable in Railroad Power Systems. Implementation of smart Railroad Power Systems would allow solution of the following practical issues: ensuring high level of power supply reliability; enhanc-ing electromagnetic safety (ES); minimization of power losses and costs for Railroad Power Systems operation; enhancing power quality in Railroad Power Systems and in connected power systems. Implementation of smart Railroad Power Sys-tems requires development of computer-based technologies for modes and electromagnetic fields simulation that determine electromagnetic safety conditions. The methods of defining modes in phase coordinates developed in Irkutsk State Transport University allow carrying out simultaneous calcula-tions of electromagnetic fields (EMF) intensities of multi wire lines when determining the mode of an external power system (EPS) and traction power supply system (TPSS). In this case, the line under consideration is viewed inseparably with com-plex EPS. Simultaneous calculation of the mode and created EMF allows implementation of the system approach [5, 6] to analysis of electromagnetic environment. Its distinct feature is a possibility of EMF simulation with due regard for all prop-erties and characteristics of the complex TPSS and EPS. Elec-tromagnetic environment management can be reduced to the issue of magnetic field reduction in given points of tractive network space. Methods for this issue solution are divided into technical and mode ones. The following actions are referred to as technical ones: the use of autotransformer TPSS 2х25 kV; the use of suction transformers with return conductor; instal-lation of adjuvant wire and shielding wire; the use of passive screens installed on passenger platforms. Optimization of train operation schedules and train operation modes are re-ferred to the mode actions in accordance with ES enhance-ment criterion, as well as the use of automatic train operation with algorithms aimed at peak loads reduction. Magnetic field intensity can be reduced by the use of trains’ optimal opera-tion schedule, and by the use of “soft” modes for trains’ oper-ation. The last action is capable reducing magnetic field inten-sity peak values by approximately 25 %.

Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the VIth International Workshop 'Critical Infrastructures: Contingency Management, Intelligent, Agent-Based, Cloud Computing and Cyber Security' (IWCI 2019)
Series
Advances in Intelligent Systems Research
Publication Date
September 2019
ISBN
978-94-6252-787-4
ISSN
1951-6851
DOI
10.2991/iwci-19.2019.12How to use a DOI?
Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Natalia Buyakova
AU  - Vasily Zakaryukin
AU  - Andrey Kryukov
PY  - 2019/09
DA  - 2019/09
TI  - Electromagnetic Environment Management in Smart Railroad Power Systems
BT  - Proceedings of the VIth International Workshop 'Critical Infrastructures: Contingency Management, Intelligent, Agent-Based, Cloud Computing and Cyber Security' (IWCI 2019)
PB  - Atlantis Press
SP  - 68
EP  - 74
SN  - 1951-6851
UR  - https://doi.org/10.2991/iwci-19.2019.12
DO  - 10.2991/iwci-19.2019.12
ID  - Buyakova2019/09
ER  -