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Optimizing Production Scheduling of Steel Plate Hot Rolling for Economic Load Dispatch under Time-of-Use Electricity Pricing

机译:利用电力定价优化经济负载调度钢板热轧生产调度

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摘要

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 multiobjective production scheduling algorithm is developed to obtain Pareto optimal solutions, and then TOPSIS based multicriteria decision-making is performed to recommend an optimal solution to facilitate field 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.
机译:使用时间(TOU)电力定价为工业用户提供了削减电力成本的机会。虽然已经提出了许多用于在连续工业加工的TOU定价下进行的许多经济负载调度(ELD),但批量型处理仍有困难,因为电力负载单元不直接调节,非线性地取决于生产规划和调度。在本文中,对于热轧,钢铁工业中的典型批量型和能量密集型工艺,在图案定价下提出了一种生产调度优化模型,其中目的是最大限度地减少电力成本,同时考虑跳跃造成的惩罚相邻的板坯。开发了基于NSGA-II的多目标生产调度算法,以获得Pareto最佳解决方案,然后进行TopSIS基于多标准决策,推荐最佳解决方案以便于促进现场操作。实验结果和分析表明,该方法降低了生产中的电力成本,特别是在额定罚款额度津贴的情况下。进一步分析表明,该方法对电网的峰值负荷调节有影响。

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