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

Li Wenxi; Xu Gang; Wang Yi

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

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Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (2) : 387-397. DOI: 10.19912/j.0254-0096.tynxb.2025-0842

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

Li Wenxi¹, Xu Gang¹, Wang Yi²

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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.

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microgrid / extreme weather / electric power system economics / optimization / mechanics / renewable energy

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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

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