| Issue |
E3S Web Conf.
Volume 236, 2021
3rd International Conference on Energy Resources and Sustainable Development (ICERSD 2020)
|
|
|---|---|---|
| Article Number | 02003 | |
| Number of page(s) | 5 | |
| Section | New Energy Technology and Clean Energy Production and Transformation | |
| DOI | https://doi.org/10.1051/e3sconf/202123602003 | |
| Published online | 09 February 2021 | |
Research on charging strategy of electric vehicle considering user and load curve
1 State Grid Shanghai Economic Research Institute, Shanghai, 200120, China
2 Nanjing Kuanta Information Technology Co., LTD, Nanjing 210006, China
a Corresponding author:1750906843@qq.com
b* Corresponding author:15850686503@163.com
With the increasing popularity of electric vehicles, the disordered charging of large-scale electric vehicles will have a great impact on the safe operation of regional distribution network. In order to solve the security problems that may occur in the power grid, this paper uses the time-sharing pricing time division method for EV charging to meet the needs of EV users. Based on this method, a multi-objective optimization model is established, which takes the electric vehicle charging capacity and power as the constraints, and based on the minimum user charging cost and the minimum load curve variance. Then, the model is solved by non-dominated sorting genetic algorithm (NSGA -Ⅱ), and the optimal compromise solution is extracted by using fuzzy set theory. Finally, the correctness of the proposed model is verified by the example.
© The Authors, published by EDP Sciences 2021
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