Issue |
E3S Web Conf.
Volume 512, 2024
2024 International Conference on Urban Construction and Transportation (UCT 2024)
|
|
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Article Number | 04020 | |
Number of page(s) | 4 | |
Section | Modern Logistics Management and Transportation Economic Analysis | |
DOI | https://doi.org/10.1051/e3sconf/202451204020 | |
Published online | 10 April 2024 |
A Dynamic Dispatching Strategy for Smart Grid Based on Composite Game Model Considering Preferential Policies
1 State Grid Shanghai Electric Power Company, Shanghai 200122, China
2 School of Big Data, Institute of Brain-Like Intelligence Science and Technology, Fudan University, Shanghai 200433, China
3 Institute of Brain and Intelligence Science and Technology, School of Computer Science, Fudan University, Shanghai 200433, China
* Corresponding author's e-mail: yuanqi2928@126.com
Renewable energy resources and electric vehicles give pressure on the smart grid. Once a large number of electric vehicles do batch charging at peak time, the dynamic resource allocation ability of the smart grid appears to be very important. This article proposes one composite game model to describe the interaction process during the charging. The smart grid area covers numbers of charging stations which satisfy spatial non-equilibrium distribution. Each vehicle has enough remaining energy to reach each charging station in the considering field. This paper considers preferential policies to the cost-sensitive drivers. From the view of energy management, preferential policies from charging stations will fluctuate the energy demand. To do dynamic dispatching strategy in power supply, the model describe two type of interactions, one is between stations and vehicles, the other is between vehicles. The model help strategy managers understand more about energy demand which hopefully can assist them do reasonable dynamic dispatching strategy.
© The Authors, published by EDP Sciences, 2024
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