| Issue |
E3S Web Conf.
Volume 256, 2021
2021 International Conference on Power System and Energy Internet (PoSEI2021)
|
|
|---|---|---|
| Article Number | 01001 | |
| Number of page(s) | 6 | |
| Section | Smart Grid Technology and Power System Regulation Modeling | |
| DOI | https://doi.org/10.1051/e3sconf/202125601001 | |
| Published online | 10 May 2021 | |
Spatial Load Prediction Considering Spatiotemporal Distribution of Electric Vehicle Charging Load
1 College of Electrical Engineering, Nanjing Institute of Industry Technology, Nanjing, Jiangsu Province, 210023, China
2 College of Energy and Electrical Engineering, Hohai University, Nanjing, Jiangsu Province, 211100, China
* Corresponding author’s e-mail: icekingking@hhu.edu.cn
In view of the influence of large-scale electric vehicle access to the distribution network on spatial load prediction, this paper proposes a spatial load prediction method for urban distribution network considering the spatial and temporal distribution of electric vehicle charging load. Firstly, electric vehicles are classified according to charging mode and travel characteristics of various types of vehicles. Secondly, the probability distribution function is fitted to the travel rules of electric vehicles according to the travel survey and statistical data of residents. Then, the model of electric vehicle travel chain is constructed, and the charging load in different regions and different times is calculated by Monte Carlo method. Finally, based on the actual data of a certain area, the predicted spatial load values of different functional communities in one day are obtained, which can provide reference for future urban distribution network planning.
© The Authors, published by EDP Sciences, 2021
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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