由动态碳排放因子指导的综合能源系统的多目标最佳调度
Yue Lin1,2,3, Zhimin Lu1,2,3, Huaiqing Qin1,2,3
1School of Electric Power Engineering, South China University of Technology, Guangzhou 510641, China.
ACS omega
|March 2, 2026
概括
本研究优化了利用需求响应 (DR) 的区域综合能源系统 (RIES),以削减成本和排放. 它平衡了经济,环境和稳定目标,显示了显著的改进,但强调了固有的权衡.
科学领域:
- 能源系统工程 能源系统工程
- 优化理论 优化理论
- 可持续发展 可持续发展 可持续发展
背景情况:
- 区域综合能源系统 (RIES) 对能源转型和可持续发展至关重要.
- 增加可再生能源的整合和系统的复杂性需要先进的能源管理策略.
- 需求响应 (DR) 机制对于优化复杂的,多目标的RIES操作至关重要.
研究的目的:
- 为RIES开发一个新的双层多目标优化模型.
- 同时降低运营成本,减少碳排放,提高负载稳定性.
- 整合动态碳排放因子和使用时间定价作为DR信号.
主要方法:
- 制定了一个双层多目标优化模型.
- 用NSGA-II算法获得了需求侧策略的帕雷托前线.
- 一个由GUROBI解决的高级经济调度,协调了系统优化.
主要成果:
- 该模型实现了10.29%的运营成本降低和1.42%的碳排放减少.
- 电气和热负荷分别减少了3.50%和6.50%,提高了负载稳定性.
- 在经济/环境目标和负载稳定性之间观察到显著的权衡.
结论:
- 通过DR实现多目标优化,可以有效地提高RIES的经济和环境性能.
- 提出的模型成功地平衡了系统和用户的好处,同时确定了最佳的权衡.
- 保持负载稳定性需要在实现最大经济和低碳目标方面做出妥协.
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