Proceedings of the 2018 International Conference on Computer Science, Electronics and Communication Engineering (CSECE 2018)

Coordinated Electric Vehicle Charging Based on Real-Time Pricing

Authors
Xinshu Wan, Wangcheng Zhu, Ning Su, Jiahong Wu
Corresponding Author
Xinshu Wan
Available Online February 2018.
DOI
https://doi.org/10.2991/csece-18.2018.111How to use a DOI?
Keywords
electric vehicle; real-time pricing; price prediction; charging schedule
Abstract
Based on the existing time-of-use electricity price pricing scheme of Beijing, a real-time pricing scheme for electric vehicle charging is proposed in this paper to perform load shifting by adjusting the hourly-changed charging price. A two-stage model of determining electric vehicle charging price is proposed. In the first stage, the charging load of the next day is predicted according to statistical probabilities. Together with the prediction of the base load pattern, the charging price of each hour is then optimized accordingly as a reference for the next day. In the second stage, the exact charging price is set ahead of each hour based on the power demand in previous hours and the desired load curve. The model is first built and then solved using the CPLEX software and MATLAB programming. The simulation result shows that the peak load as well as the peak-valley load difference is reduced. The charging cost of customers is also expected to be diminished.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
Part of series
Advances in Computer Science Research
Publication Date
February 2018
ISBN
978-94-6252-487-3
ISSN
2352-538X
DOI
https://doi.org/10.2991/csece-18.2018.111How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Xinshu Wan
AU  - Wangcheng Zhu
AU  - Ning Su
AU  - Jiahong Wu
PY  - 2018/02
DA  - 2018/02
TI  - Coordinated Electric Vehicle Charging Based on Real-Time Pricing
PB  - Atlantis Press
SP  - 509
EP  - 513
SN  - 2352-538X
UR  - https://doi.org/10.2991/csece-18.2018.111
DO  - https://doi.org/10.2991/csece-18.2018.111
ID  - Wan2018/02
ER  -