| Issue |
E3S Web Conf.
Volume 299, 2021
4th Annual International Conference on Energy Development and Environmental Protection (EDEP 2021)
|
|
|---|---|---|
| Article Number | 01015 | |
| Number of page(s) | 8 | |
| Section | Energy Science and Technology | |
| DOI | https://doi.org/10.1051/e3sconf/202129901015 | |
| Published online | 05 August 2021 | |
Based on Prospect Theory Regional Integrated Energy Electric Vehicle Scheduling Model
1 East Inner Mongolia Electric Power Company Limited, Hohhot 010010, Inner Mongolia, China
2 State Grid Inner Mongolia East Electric Power Integrated Energy Service Co. Ltd, Hohhot 010010, Inner Mongolia, China
3 School of Economics and Management, North China Electric Power University, Changping, Beijing, 102206 ;
* Corresponding author: yang_yang_yu_yu@163.com
Regional comprehensive energy is the focus of current research, and electric vehicles are an important part of regional energy. The orderly participation of regional EV groups in demand response for optimal scheduling of charge and discharge can not only save the charging cost of EV owners, but also smooth the load fluctuation caused by EV charging. In this paper, an Integrated Energy Electric Vehicle Scheduling Model Based on Prospect Theory is proposed. Firstly, the optimal charging and discharging strategy of each Electric Vehicle is obtained Based on the price demand response Model. Secondly, a decision-making method of participation willingness based on the prospect theory is proposed to consider the risk bias of EV owners. Finally, a case study is provided to verify the effectiveness of the proposed method. Compared with electric vehicles participating in random charging, the optimization model proposed in this paper reduces the cost by 32% and the average hourly load by 67%.
© The Authors, published by EDP Sciences, 2021
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