集成能源系统的多时间尺度优化调度,以通用储能服务为导向
Yunshou Mao1,2, Zhihong Cai3, Xianan Jiao4
1School of Electronic Information and Electrical Engineering, Huizhou University, Huizhou, 516007, Guangdong, P.R. China.
Scientific reports
|March 13, 2025
概括
这项研究优化了综合能源系统,将包括电动汽车 (EV) 和储能在内的通用能源存储整合到多个时间表中. 这种多时间尺度的方法显著降低了运营成本,提高了系统可靠性.
科学领域:
- 能源系统工程 能源系统工程
- 优化理论 优化理论
- 整合可再生能源的整合
背景情况:
- 现有的研究往往忽视了综合能源系统中多种能源存储资源的协调多次时间尺度优化.
- 单面的资源集中和双时间尺度优化限制了能源系统的整体管理.
研究的目的:
- 开发和验证综合能源系统的多时间尺度优化策略.
- 将灵活的需求侧资源整合为通用能源存储,包括电动汽车 (EV),储和空调 (AC) 集群.
- 尽量减少日前,日内和实时阶段的综合能源系统的运营成本.
主要方法:
- 在考虑物理和时间限制的情况下,为移动储能,储能和交流集群的虚拟储能建立了优化调度模型.
- 前一天阶段使用C&CG方法来处理风能和光伏发电的不确定性.
- 日内和实时阶段采用储能,燃气轮机和交流虚拟能源储能,以减轻可再生能源波动和快速响应.
主要成果:
- 拟议的多时间尺度优化模型有效降低了综合能源系统的运营成本.
- 整合通用能源存储,包括电动汽车和交流集群,提高了系统可靠性.
- 案例研究证实了开发的优化策略的显著经济和可靠性好处.
结论:
- 对于高效,可靠的综合能源系统来说,对通用能源存储的协调多次时间尺度优化至关重要.
- 灵活的需求侧资源可以有效地作为通用能源存储来提高系统性能.
- 该研究为优化可再生能源变化下的能源系统运行提供了一个强大的框架.
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