Proceedings of the 2022 International Conference on mathematical statistics and economic analysis (MSEA 2022)

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Optimization of New Energy Consumption Strategy for Electric Vehicles Based on Vehicle Networking

Authors
Mengjiao Zou1, *, Yue Shen2, Aifeng Zhang3, Jun Li3, Dunnan Liu1, Xin Du4, 5, Mingguang Liu1
1School of Economics and Management, North China Electric Power University, 102206, Beijing, China
2State Grid Shanghai Electric Power Company, 200122, Shanghai, China
3State Grid Chongqing Electric Power Company, 400014, Chongqing, China
4State Grid Electric Power Research Institute Co., Ltd., 211106, Jiangsu Province, Nanjing, China
5Beijing Kedong Electric Power Control System Co., 100194, Beijing, China
*Corresponding author. Email: 120202206134@ncepu.edu.cn
Corresponding Author
Mengjiao Zou
Available Online 29 December 2022.
DOI
10.2991/978-94-6463-042-8_130How to use a DOI?
Keywords
Electric vehicles; Centralized regulation; New energy consumption
Abstract

In order to curb global warming, the country vigorously develops new energy, but the current problem of mismatch between the scale of new energy and local consumption market in China aggravates the contradiction of new energy consumption. In order to alleviate the scarcity of flexible regulation resources brought by the development of high proportion of renewable energy, this paper explores the transfer-ability of EV charging load in terms of EV starting charge state, EV users' daily driving mileage pattern and charging time preference; and explores the correlation between EV load and new energy output by combining the characteristics of new energy output. On this basis, the paper proposes a centralized regulation method to shift the charging time of EV users to the time when the new energy is not sufficient to improve the system's ability to absorb intermittent new energy.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2022 International Conference on mathematical statistics and economic analysis (MSEA 2022)
Series
Advances in Computer Science Research
Publication Date
29 December 2022
ISBN
978-94-6463-042-8
ISSN
2352-538X
DOI
10.2991/978-94-6463-042-8_130How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Mengjiao Zou
AU  - Yue Shen
AU  - Aifeng Zhang
AU  - Jun Li
AU  - Dunnan Liu
AU  - Xin Du
AU  - Mingguang Liu
PY  - 2022
DA  - 2022/12/29
TI  - Optimization of New Energy Consumption Strategy for Electric Vehicles Based on Vehicle Networking
BT  - Proceedings of the 2022 International Conference on mathematical statistics and economic analysis (MSEA 2022)
PB  - Atlantis Press
SP  - 921
EP  - 926
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-042-8_130
DO  - 10.2991/978-94-6463-042-8_130
ID  - Zou2022
ER  -