在综合能源系统中对需求响应的优化经济调度,考虑到动态能源效率和动态碳交易
Haoyu Mao1, Qiyue Deng2, Zihao Zhang3
1College of Information Engineering, Nanchang University, Nanchang, 330031, Jiangxi, China.
Scientific reports
|January 12, 2026
概括
本研究介绍了集成能源系统 (IES) 的动态能源效率和碳交易模型. 新方法降低了成本,并在价格不确定性下提高了跟踪准确性.
科学领域:
- 能源系统工程 能源系统工程
- 优化理论 优化理论
- 环境经济学环境经济学
背景情况:
- 综合能源系统 (IES) 在电价,设备效率和碳配额分配方面面临不确定性.
- 建模中的静态假设导致IES调度中的低效率和成本冗余.
- 需求方面的不确定性,特别是价格波动,影响负载行为和调度.
研究的目的:
- 开发IES的经济调度优化模型,包括动态能源效率和碳交易.
- 在IES调度中解决电价,设备效率和碳配额分配方面的不确定性.
- 提出一个结合分布式强大优化 (DRO) 和模型预测控制 (MPC) 的协作框架,以加强IES运行.
主要方法:
- 构建了一个经济调度优化模型,具有动态的能源效率和碳交易.
- 实施了一个"分布式强大优化 (DRO) 模型预测控制 (MPC) "协作框架.
- 引入了分层的动态碳配额分配策略和电价弹性系数矩阵以满足需求响应.
主要成果:
- 结合动态模型将总系统成本降低了13.07%,碳交易成本降低了11.57%.
- DRO-MPC框架提高了跟踪精度14.66% (与没有反相比) 和6.13% (与没有滚动优化相比).
- 与没有滚动优化的情景相比,总成本降低了4.36%.
结论:
- 拟议的模型和框架为不确定性下IES的低碳经济运输提供了一个科学可行的解决方案.
- 能源效率和碳交易的动态建模显著提高了IES的经济和环境绩效.
- 整合DRO-MPC和需求侧管理有效地减轻了IES运营中的不确定性.
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