对电力和热量的综合需求响应策略的优化方法,考虑到用户侧负载的不确定性
Jiaqi Li1, Delong Zhang2, Yuheng Wei1
1Tianjin Key Laboratory of New Energy Power Conversion, Transmission and Intelligent Control, Tianjin University of Technology, Xiqing District, Tianjin, 300384, China.
Scientific reports
|December 5, 2025
概括
本研究介绍了电热系统 (IEHS) 的综合需求响应 (DR) 策略,以管理不确定的负载. 该方法通过优化调度来提高运营灵活性和系统性能.
科学领域:
- 能源系统工程 能源系统工程
- 优化理论 优化理论
- 人工智能的人工智能
背景情况:
- 综合电热系统 (IEHS) 面临着由于用户负载不可预测而导致的调度复杂性.
- 现有的优化策略往往难以解释这些负载中固有的不确定性.
研究的目的:
- 开发IEHS的综合需求响应 (DR) 优化策略,明确解决负载不确定性.
- 通过优化日程安排,提高IEHS的运营灵活性和整体性能.
主要方法:
- 使用Copula函数制定了一个概率模型,以捕捉负载不确定性的时间相关性.
- 使用的核心密度估计用于负载分布适配和蒙特卡洛采样用于不确定性模拟.
- 开发了一个根据IEHS特征量身定制的DR模型,通过能量存储协调电力和加热负载.
- 使用了改进的列和约束生成算法来验证策略.
主要成果:
- 拟议的DR优化策略有效地管理了IEHS中的负载不确定性.
- 模拟结果显示,IEHS的运营灵活性得到了显著改善.
- 该战略导致集成电热系统的整体性能提高.
结论:
- 综合需求响应策略为优化在不确定性条件下的IEHS调度提供了强大的解决方案.
- 对负载不确定性的准确建模对于提高IEHS的效率和可靠性至关重要.
- 开发的方法为增强智能能源系统管理提供了有价值的工具.
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