Adjustable Capacity Assessment of Steel Industry Loads Considering Production Process Constraints

As a high-energy-consuming industry, the flexible adjustment of load power in the steel industry is critical for enhancing the peak-shaving capacity of new power systems. However, existing studies often neglect production process constraints, leading to inaccuracies in evaluating the adjustable capacity of industrial loads. This paper proposes an adjustable capacity assessment method for steel industry loads that incorporates production process constraints. First, a power characteristic model covering key processes is established to quantify the dynamic features of loads. Second, a coupling model integrating production process constraints is developed to analyze the restrictive mechanisms of process synergies on load regulation potential. Furthermore, an evaluation framework for adjustable capacity is proposed to achieve precise peak-shaving capacity matching through incentive-response mechanisms. Simulations based on operational data from a large steel enterprise demonstrate that considering production process constraints significantly improves the accuracy of industrial load adjustable capacity assessment. The results provide theoretical support and decision-making foundations for the steel industry’s participation in grid flexibility regulation.