Proceedings of the 2017 International Conference on Electronic Industry and Automation (EIA 2017)

Research on Simulation System of UHVDC Transmission

Authors
Keyuan QIN, Qin SONG, Wuguang TAN, Bing LI
Corresponding Author
Keyuan QIN
Available Online July 2017.
DOI
10.2991/eia-17.2017.11How to use a DOI?
Keywords
UHVDC transmission; training simulation; training
Abstract

Skill training of UHVDC Operators is becoming increasingly important with the rapid construction of UHVDC projects. It is necessary to build a simulation system to meet the training needs. This paper presents a fully digital software simulation program. The entire system can run on a computer, which includes the Operators Work Station system, the primary equipment and the second equipment scene simulation, while in the background of AC/DC hybrid power grid and control & protection system simulation. This simulation system provides training for the operation of the UHVDC converter station with the simulation of the whole scenes of Jinping - Suzhou UHVDC transmission project as the prototype of the training system.

Copyright
© 2017, 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 2017 International Conference on Electronic Industry and Automation (EIA 2017)
Series
Advances in Intelligent Systems Research
Publication Date
July 2017
ISBN
10.2991/eia-17.2017.11
ISSN
1951-6851
DOI
10.2991/eia-17.2017.11How to use a DOI?
Copyright
© 2017, 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  - Keyuan QIN
AU  - Qin SONG
AU  - Wuguang TAN
AU  - Bing LI
PY  - 2017/07
DA  - 2017/07
TI  - Research on Simulation System of UHVDC Transmission
BT  - Proceedings of the 2017 International Conference on Electronic Industry and Automation (EIA 2017)
PB  - Atlantis Press
SP  - 49
EP  - 53
SN  - 1951-6851
UR  - https://doi.org/10.2991/eia-17.2017.11
DO  - 10.2991/eia-17.2017.11
ID  - QIN2017/07
ER  -