计及风-光耦合出力特征的区域电煤双重储备优化方法

Optimal Decision for Regional Thermal Coal Stockpile With Dual-purpose Reserves Considering Wind-solar Power Coupling Characteristics

随着新能源占比不断升高,优化电煤储备能力以满足电力生产需求并提升应急响应能力,对确保新型电力系统运行经济性与稳定性至关重要。该文提出一种基于数据聚类的联合区间划分方法,提取风、光发电出力耦合特征,生成典型场景,并将其纳入电煤储备决策过程。在此基础上,设计兼顾电力生产与应急响应需求的双重储备结构,并构建电煤储备动态规划模型,对电煤储备的经济性与安全性目标进行优化。通过实证研究所提出的优化模型与方法。此外,情景实验进一步验证了双重储备结构在稳健性与经济性上的优势。结果可为新型电力系统中的电煤储备优化问题提供一定理论支持和实践指导。

The increasing penetration of renewable energy presents significant challenges in optimizing thermal coal stockpiling for both daily thermoelectric power production and emergency response to accidental events,which are crucial for maintaining the economic efficiency and stability of the new power system.This research addresses these challenges by incorporating the coupling characteristics of wind and solar power generation into the procurement and reserve decision-making process for regional thermal coal stockpile hub.To generate representative scenarios,a joint interval segmentation approach based on clustering of wind and solar power output data is proposed to identify characterized periods.A dynamic programming model is developed to optimize both safety and economic efficiency through dual-purpose reserves.Empirical results demonstrate the validity of the proposed method.Additionally,scene examinations validate the robustness and economic efficiency of the dual-purpose reserve structure.This study offers theoretical support and practical guidance for optimizing coal reserves in the evolving power system.