一个基于IGDT的最佳调度模型,用于电气-城市综合能源系统
Min Xie1, Lei Qing1, Jia-Nan Ye1
1School of Electric Power, South China University of Technology, Guangzhou 510641, China.
Entropy (Basel, Switzerland)
|July 29, 2025
概括
这项研究引入了用于规划城市综合能源系统 (UIESs) 的功率增强框架,优先考虑能源质量与成本. 新方法提高了热力学性能,并确保在不确定性条件下稳健的经济运行.
科学领域:
- 能源系统工程 能源系统工程
- 热力学是一种热力学.
- 优化理论 优化理论
背景情况:
- 城市综合能源系统 (UIES) 对于低碳能源转型至关重要.
- 当前的调度方法往往忽略了电力,热量,气体和等不同能源形式的能量质量差异 (exergy).
- 这种限制阻碍了复杂能源网络的最佳性能和效率.
研究的目的:
- 为规划电气-城市综合能源系统 (EHUIESs) 开发一个强化的随机优化框架.
- 为了动态平衡经济成本与热力学性能 (exergy效率).
- 解决可再生能源发电,负载需求和燃料燃烧方面的不确定性.
主要方法:
- 将能量效率评估集成到随机优化-改进信息差距决策理论 (SOI-IGDT) 框架中.
- 实施基于惩罚的代机制,以监测和改善运动能量偏差.
- 模拟不确定性,包括可再生产量,负载变化和缩压缩天然气 (HCNG) 燃烧.
主要成果:
- 拟议的框架在案例研究中成功地提高了高达2.18%的能量效率.
- 该方法在各种信心级别中证明了成本稳定性,即使存在不确定性.
- 在与高温天然气网络 (20节点) 集成的大规模UIES (186总线) 上验证.
结论:
- 将功率考虑因素纳入强大的优化中,对于UIES中高质量的能源调度至关重要.
- 开发的框架为更具弹性和热力学效率的城市能源系统提供了一条途径.
- 这种方法通过考虑能源质量来提高综合能源系统的整体性能.
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