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With the rising adoption of renewable energy sources worldwide, the uncertainty within electrical power systems is amplifying, leading to rising challenges in wind power assimilation and operational costs. In addressing these pressing issues, this research emphasizes a sophisticated modeling technique for the energy-intensive electro-fused magnesium loads on demand. Furthermore, we introduce a coordinated scheduling approach for power systems, harnessing the regulatory capabilities of these loads. Initially, an in-depth analysis of the characteristics of the electro-fused magnesium energy-intensive load is carried out, from which a refined model is developed. Subsequently, considering the flexible regulatory potential of the electro-fused magnesium furnace apparatus, a bi-level optimization scheduling model is crafted, prioritizing the maximization of wind power absorption at the upper level and minimizing system operational costs at the lower level. The efficacy and rationale of the proposed methodology are corroborated through computational analyses.

Fine-Grained Modeling and Coordinated Scheduling of Source-Load with Energy-Intensive Electro-Fused Magnesium Loads