Proceedings of the 2016 International Conference on Advanced Electronic Science and Technology (AEST 2016)

Research of virtual substation simulation training system

Authors
Wu Xu, Xitong Duan, Yilong Ren, Lei Wu, Jin He
Corresponding Author
Wu Xu
Available Online November 2016.
DOI
10.2991/aest-16.2016.95How to use a DOI?
Keywords
virtual reality; digital substation; VIZARD; human-computer interaction.
Abstract

Firstly, this paper analyzes the current status of substation training system, and puts forward a substation simulation training system based on virtual reality technology, aiming at the shortcomings of traditional substation training system. The system bases on the building of substation model, introducing platform VIZARD, using MATLAB simulation data, by COM technology in VIZARD of data simulation system call, also using wearable devices and finally realizes virtual substation simulation training system. The system overcomes the shortcomings of the low degree of immersion and low truth degree, which is more economical and safe.

Copyright
© 2016, 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 2016 International Conference on Advanced Electronic Science and Technology (AEST 2016)
Series
Advances in Intelligent Systems Research
Publication Date
November 2016
ISBN
10.2991/aest-16.2016.95
ISSN
1951-6851
DOI
10.2991/aest-16.2016.95How to use a DOI?
Copyright
© 2016, 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  - Wu Xu
AU  - Xitong Duan
AU  - Yilong Ren
AU  - Lei Wu
AU  - Jin He
PY  - 2016/11
DA  - 2016/11
TI  - Research of virtual substation simulation training system
BT  - Proceedings of the 2016 International Conference on Advanced Electronic Science and Technology (AEST 2016)
PB  - Atlantis Press
SP  - 711
EP  - 717
SN  - 1951-6851
UR  - https://doi.org/10.2991/aest-16.2016.95
DO  - 10.2991/aest-16.2016.95
ID  - Xu2016/11
ER  -