强大的模糊动态集成环境-经济-社会调度,考虑需求响应和用户对电力的满意度,在多种不确定性下
Hong Zhang1,2, Qianwei Xi3, Lei Chen4
1State Key Laboratory of Power System Operation and Control, Department of Electrical Engineering, Tsinghua University, Beijing, 100084, China.
Scientific reports
|February 26, 2025
概括
本研究引入了一个强大的模糊最佳调度模型,以解决电力系统的不确定性. 它改进了需求响应建模,并考虑了用户满意度以获得更好的经济,环境和社会结果.
科学领域:
- 电气工程 电气工程
- 运营研究 运营研究
- 环境科学 环境科学
背景情况:
- 现有的电力系统调度模型过于简化了需求响应的不确定性,忽视了用户满意度.
- 可再生能源 (风能,光伏) 和需求响应的多重不确定性使最佳调度变得复杂.
- 整合经济,环境和社会因素对于全面优化电力系统至关重要.
研究的目的:
- 为电力系统提出一个多目标,强大的模糊的最佳调度模型.
- 为了提高基于价格的需求响应在不确定性下的建模.
- 将用户的全面满意度作为关键目标与经济和环境因素一起纳入.
主要方法:
- 利用强大的理论来模拟风能和光伏输出功率.
- 在基于价格的需求响应建模中采用模糊理论.
- 开发一个多目标模型,优化成本,排放和用户满意度.
- 将强大的模糊模型转换为通过智能算法解决问题的确定性模型.
主要成果:
- 拟议的模型有效地处理电力系统调度中的不确定性.
- 对于需求响应和多个不确定性的强大的模糊方法的证明优越性.
- 验证了在最佳调度中考虑用户满意度可靠性的重要性.
- 改进的IEEE-39节点系统证实了该模型的有效性和有效性.
结论:
- 强大的模糊最佳调度模型为电力系统规划提供了更可靠的方法.
- 对需求响应和用户满意度的准确建模对于多目标优化至关重要.
- 该研究强调了解决可持续电力系统多重不确定性的必要性.
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