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  • 标题:Based on Prospect Theory Regional Integrated Energy Electric Vehicle Scheduling Model
  • 本地全文:下载
  • 作者:Shufeng Li ; Qiang Yao ; Zhankun Xu
  • 期刊名称:E3S Web of Conferences
  • 印刷版ISSN:2267-1242
  • 电子版ISSN:2267-1242
  • 出版年度:2021
  • 卷号:299
  • 页码:1-8
  • DOI:10.1051/e3sconf/202129901015
  • 语种:English
  • 出版社:EDP Sciences
  • 摘要: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%.
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