Proceedings of the 7th International Conference on Education, Management, Information and Mechanical Engineering (EMIM 2017)

Analysis of Grid Loss of Charged Vehicles

Authors
Yanhao Wang
Corresponding Author
Yanhao Wang
Available Online April 2017.
DOI
10.2991/emim-17.2017.347How to use a DOI?
Keywords
Equivalent circuit model; Converter losses; Optimize load curve
Abstract

Based on the improved equivalent circuit model of GNL, this paper first simulates the charging and discharging process of electric vehicle battery and analyzes the sources of losses. Afterwards, it illustrates the existing kinds of losses of the convertor and presents calculation formula by taking the Boost convertor as an example and putting forward the counting process and conclusion. In the end, it analyzes the power grid loss and proposes the methods to optimize load curve and reduce the losses .Besides, the objective function and constraint condition are listed according to the local charging strategy and the global charging strategy of power grid dispatching.

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 7th International Conference on Education, Management, Information and Mechanical Engineering (EMIM 2017)
Series
Advances in Computer Science Research
Publication Date
April 2017
ISBN
978-94-6252-356-2
ISSN
2352-538X
DOI
10.2991/emim-17.2017.347How 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  - Yanhao Wang
PY  - 2017/04
DA  - 2017/04
TI  - Analysis of Grid Loss of Charged Vehicles
BT  - Proceedings of the 7th International Conference on Education, Management, Information and Mechanical Engineering (EMIM 2017)
PB  - Atlantis Press
SP  - 1707
EP  - 1711
SN  - 2352-538X
UR  - https://doi.org/10.2991/emim-17.2017.347
DO  - 10.2991/emim-17.2017.347
ID  - Wang2017/04
ER  -