Optimizing production scheduling of steel plate hot rolling for economic load dispatch under time-of-use electricity pricing
This work addresses the challenge of economic load dispatch for batch-type industrial processes like steel hot rolling, offering a practical scheduling method to reduce electricity costs under time-of-use pricing.
The paper proposes a production scheduling optimization model for steel plate hot rolling under time-of-use electricity pricing, using NSGA-II and TOPSIS to minimize electricity costs while considering penalties for slab jumps. Experimental results show the method reduces electricity costs, particularly when allowing a certain penalty increase, and aids peak load regulation.
Time-of-Use (TOU) electricity pricing provides an opportunity for industrial users to cut electricity costs. Although many methods for Economic Load Dispatch (ELD) under TOU pricing in continuous industrial processing have been proposed, there are still difficulties in batch-type processing since power load units are not directly adjustable and nonlinearly depend on production planning and scheduling. In this paper, for hot rolling, a typical batch-type and energy intensive process in steel industry, a production scheduling optimization model for ELD is proposed under TOU pricing, in which the objective is to minimize electricity costs while considering penalties caused by jumps between adjacent slabs. A NSGA-II based multi-objective production scheduling algorithm is developed to obtain Pareto-optimal solutions, and then TOPSIS based multi-criteria decision-making is performed to recommend an optimal solution to facilitate filed operation. Experimental results and analyses show that the proposed method cuts electricity costs in production, especially in case of allowance for penalty score increase in a certain range. Further analyses show that the proposed method has effect on peak load regulation of power grid.