| Issue |
MATEC Web Conf.
Volume 272, 2019
2018 2nd International Conference on Functional Materials and Chemical Engineering (ICFMCE 2018)
|
|
|---|---|---|
| Article Number | 01023 | |
| Number of page(s) | 6 | |
| DOI | https://doi.org/10.1051/matecconf/201927201023 | |
| Published online | 13 March 2019 | |
Research on ordered charge and discharge of cluster electric vehicle based on index selection
Nanjing Normal University NANRUI Electric and Automation College, Nanjing, China
* Corresponding author: strawberry_hcx@163.com
The basic characteristics of electric vehicles are important basis for studying the behavior of electric vehicles. According to the basic characteristics of electric vehicles, this paper establishes an electric vehicle convergence model and its control strategy with demand-side response. Taking into account the demand for electric vehicles, electric vehicle aggregators and power companies, reducing the cost of control, while reducing the impact on electric vehicles. Based on the real-time state of charge, the conditions of electric vehicle in the network and other factors to build the assessment model of the scheduling potential, and then put forward the demand response indicators of electric vehicles, and give the corresponding aggregation strategy. considering the multiple constraints , such as the cost constraints of electric vehicles participating in grid regulation, the charging requirements of electric vehicle owners, and the battery consumption of electric vehicles, a control strategy model is proposed for electric vehicles participating in demand response of power systems. The simulation test shows that the aggregation strategy can not only meet the travel needs of electric vehicle owners, but also reduce the impact on the electric vehicle caused by frequent switching of charge and discharge status. In addition, it can also reduce the cost of grid regulation.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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