基于电动汽车的双层低碳定价机制研究
CSTR:
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

TM 73

基金项目:

国家自然科学基金资助项目(72071130)


Bi-level low-carbon pricing mechanism based on electric vehicles
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    为协调主体?从体之间的利益关系,以能源系统运营商为主体,负荷聚集商、电动汽车充电站为从体构建能源系统运营商?负荷聚集商(电动汽车充电站)双层优化模型。提出一种多因素定价机制,引导下层可调度资源参与上层优化,实现多利益主体互利共赢。基于负荷不满意度系数,构建负荷需求响应效用模型,实现负荷综合需求响应在经济性和满意度之间的平衡。此外,引入阶梯型碳交易机制和碳捕集设备,同时考虑新能源向碳捕集设备供电的协调运行策略,进一步提升能源系统低碳运行能力。最后,采用CPLEX求解器对双层优化模型进行迭代求解。算例结果表明,所提定价机制降低了上层碳排放量和下层负荷中断功率,降低幅度分别为18.98%和14.99%,验证了所提模型及方法的有效性。

    Abstract:

    In order to coordinate the interest relationship between multiple subjects, the bi-level optimization model taked the energy system operator as the main body, the load aggregation operator and the electric vehicle charging station as the main body. A multi-factor pricing mechanism was proposed to guide the lower level to participate in the upper optimization, so as to achieve mutual benefit and win-win results of multiple stakeholders. Secondly, based on the load dissatisfaction coefficient, the load demand response utility model was constructed to realize the trade-off between economy and satisfaction of the comprehensive load demand response. In addition, the stepped carbon trading mechanism and carbon capture equipment were introduced, and the coordinated operation strategy of new energy power supply to carbon capture equipment was considered to further improve the low-carbon operation capacity of the energy system. Finally, CPLEX was used to iteratively solve the bi-level optimization model. The results show that the proposed pricing mechanism reduces the upper carbon emission and the lower load interruption power, by 18.98% and 14.99% respectively, which verifies the effectiveness of the proposed model and method.

    参考文献
    相似文献
    引证文献
引用本文

史亚峰,党亚峥,薛中会.基于电动汽车的双层低碳定价机制研究[J].上海理工大学学报,2025,47(4):471-480.

复制
分享
相关视频

文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2024-08-02
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2025-09-29
  • 出版日期:
文章二维码