MIES TWO-LAYER OPTIMAL SCHEDULING CONSIDERING SOURCE-LOAD UNCERTAINTY

Ma Yun; Zhang Bo; Wu Xiaojie

doi:10.19912/j.0254-0096.tynxb.2025-1083

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Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (12) : 233-242. DOI: 10.19912/j.0254-0096.tynxb.2025-1083

MIES TWO-LAYER OPTIMAL SCHEDULING CONSIDERING SOURCE-LOAD UNCERTAINTY

Ma Yun^1,2, Zhang Bo², Wu Xiaojie¹

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Abstract

In the context of high-proportion renewable energy integration and deepened energy coupling, to improve the energy utilization reliability and stability of the mine integrated energy system （MIES） and overcome the impact of wind-solar output and load prediction errors on the scheduling plan, a two-layer optimal scheduling scheme for MIES considering source-load uncertainty is proposed. Firstly, the energy supply structure and equipment models of MIES are established, covering electricity, heat, cold and other energy forms as well as mine-derived energy devices. Secondly, based on multi-scenario technology and fuzzy mathematics theory, the day-ahead and intra-day uncertainties of renewable energy output and load demand are modeled. Latin hypercube sampling is used to generate wind-solar-load scenarios, and clustering reduction is applied to obtain typical scenarios. Fuzzy chance-constrained programming is utilized to relax the power balance constraints of intra-day scheduling into the constraints under a certain confidence level. Finally, in the uncertain environment, day-ahead scheduling is conducted aiming to minimize the mine operation cost and carbon emission cost, and intra-day flexible adjustments are made based on the day-ahead plan. Taking a coal mine in Hulunbuir, Inner Mongolia as a case study, the results show that the proposed method can balance the risk and return of day-ahead and intra-day scheduling plans, reduce operation and carbon emission costs, and ensure the safety and reliability of energy supply. This method is of great significance for promoting the optimal operation and sustainable development of MIES.

Key words

clean energy / uncertainty analysis / optimization / mine integrated energy system / multi-scenario technology / fuzzy constraint

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Ma Yun, Zhang Bo, Wu Xiaojie. MIES TWO-LAYER OPTIMAL SCHEDULING CONSIDERING SOURCE-LOAD UNCERTAINTY[J]. Acta Energiae Solaris Sinica. 2026, 47(12): 233-242 https://doi.org/10.19912/j.0254-0096.tynxb.2025-1083

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