通过不确定性监测和非线性约束处理实现电力系统中多类型源的有效调度
Di Zhang1, Qionglin Li1, Ji Han2
1Electric Power Research Institute of State Grid Henan Electric Power Company, Zhengzhou 450000, China.
Sensors (Basel, Switzerland)
|November 13, 2025
概括
本研究介绍了电力系统调度的优化方法,整合了光伏不确定性监测和水电动力学. 该方法改善了协调,降低了2.9%的成本,并促进了可再生能源的使用.
科学领域:
- 电力系统工程 电力系统工程
- 优化理论 优化理论
- 整合可再生能源的整合
背景情况:
- 大规模的可再生能源整合导致电力系统的不确定性.
- 可靠和经济的运行需要精确的不确定性监测和非线性动态处理.
研究的目的:
- 为高可再生能源透率的电力系统提出基于优化的调度方法.
- 为了有效地管理光伏 (PV) 不确定性和非线性水电特性.
主要方法:
- 开发了一个基于优化的调度框架.
- 集成的传感器信息监测的光伏不确定性.
- 纳入了具有非线性动态的详细水电模型.
- 采用了对非线性约束和不确定性的统一近似方案.
主要成果:
- 在案例研究中实现了有效的多源协调.
- 运营成本降低了高达2.9%.
- 在各种不确定性级别和光伏透场景下,提高可再生能源的利用率.
结论:
- 拟议的方法为复杂的电力系统中的调度提供了一个计算可处理的解决方案.
- 它有效地平衡了可靠性,经济性和可再生能源的整合.
- 在运营效率和降低成本方面取得了显著的改善.
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