极端气象下多能微网最小代价韧性调度模型机理研究

李雯茜; 许刚; 王绎

doi:10.19912/j.0254-0096.tynxb.2025-0842

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太阳能学报 ›› 2026, Vol. 47 ›› Issue (2) : 387-397. DOI: 10.19912/j.0254-0096.tynxb.2025-0842

极端气象下多能微网最小代价韧性调度模型机理研究

李雯茜¹, 许刚¹, 王绎²

作者信息 +

MINIMUM COST TOUGHNESS SCHEDULING MODEL MECHANISM OF MULTI-ENERGY MICRO-NETWORKS UNDER EXTREME WEATHER CONDITION

Li Wenxi¹, Xu Gang¹, Wang Yi²

Author information +

文章历史 +

摘要

随着极端气象事件频发,电力供应的不确定性增加,现有多能微网调度模型无法有效保障电力供应,使多能协调供电产生高额经济损失。因此针对这一问题,提出极端气象下多能微网最小代价韧性（日前）调度模型,根据极端气象下未来24 h内的负荷需求与应急措施,考虑该情况下数据的稀缺性与可再生能源输出功率的大幅波动性,以最小经济损失完成多能协调供电调度,确保系统能够持续稳定运行。从机理上论证了模型在调度上存在可行范围内的最小代价以及其局部上存在唯一性,提出“边际最优性”作为该模型输出的合理性检验方法。实验分析表明,在极端气象下,传统模型会导致调度策略与实际供需不匹配,增加临时协调造成的经济损失,但极端气象下多能微网最小代价韧性调度模型能有效减少供电缺口,将缺口时长缩短至0.8 h,总经济损耗较传统模型降低25.8%。

Abstract

With the frequent occurrence of extreme meteorological events, the uncertainty of power supply increases, and the existing multi-energy microgrid dispatching model cannot effectively guarantee power supply, which also leads to high economic losses. Therefore, to solve this problem, a minimum cost toughness （day ahead） dispatching model of multi-energy microgrid under extreme weather is proposed. According to the load demand and emergency measures in the next 24 under extreme weather, the scarcity of data and the high volatility of renewable energy output power in this case are considered, and multi-energy coordinated power supply scheduling is completed at the minimum cost to ensure the continuous and stable operation of the system. It is proved that the model has the minimum cost in scheduling and its local uniqueness in mechanism, and "marginal optimality" is proposed as the rationality test method of the model output. Experimental analysis shows that in extreme weather, the traditional model will lead to the mismatch between scheduling strategy and actual supply and demand, increasing the economic loss caused by temporary coordination, but in extreme weather, the minimum cost resilient scheduling model of multi-energy microgrid can effectively reduce the power supply gap, shorten the gap time to 0.8, and reduce the total economic loss by 25.8% compared with the traditional model.

导出引用

李雯茜, 许刚, 王绎. 极端气象下多能微网最小代价韧性调度模型机理研究[J]. 太阳能学报. 2026, 47(2): 387-397 https://doi.org/10.19912/j.0254-0096.tynxb.2025-0842

Li Wenxi, Xu Gang, Wang Yi. MINIMUM COST TOUGHNESS SCHEDULING MODEL MECHANISM OF MULTI-ENERGY MICRO-NETWORKS UNDER EXTREME WEATHER CONDITION[J]. Acta Energiae Solaris Sinica. 2026, 47(2): 387-397 https://doi.org/10.19912/j.0254-0096.tynxb.2025-0842

中图分类号： TM732

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