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Models and optimisation approaches for scheduling steelmaking-refining-continuous casting production under variable electricity price

机译:电价变动下炼钢-精炼-连铸生产调度模型与优化方法

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This paper studies the steelmaking-refining-continuous casting (SRCC) scheduling problem with considering variable electricity price (SRCCSPVEP). SRCC is one of the critical production processes for steel manufacturing and energy intensive. Combining the technical rules used in iron-steel production practice, time-dependent electricity price is considered to reduce the electricity cost and the associate production cost. A decomposition approach is proposed for the SRCCSPVEP. Without considering the electrical factor, the first phase applies the mathematical programming method to determine the relative schedule plan for each cast. In the second phase, we formulate a scheduling problem of all casts subject to resource constraint and time-dependent electricity price. A heuristic algorithm combined with the constraint propagation is developed to solve this scheduling problem. To investigate and measure the performance of the proposed approach, numerous instances are randomly generated according to the collective data from a well-known iron-steel plant in China. Computational results demonstrate that our algorithm is very efficient and effective in providing high-quality scheduling plans, and the electricity cost can be reduced for the iron-steel plant.
机译:本文研究了考虑可变电价(SRCCSPVEP)的炼钢连铸(SRCC)调度问题。 SRCC是钢铁生产和能源密集型的关键生产工艺之一。结合钢铁生产实践中使用的技术规则,可以考虑随时间变化的电价以降低电费和相关的生产成本。提出了一种针对SRCCSPVEP的分解方法。在不考虑电气因素的情况下,第一阶段应用数学编程方法来确定每个铸件的相对计划计划。在第二阶段,我们制定了一个受资源约束和时变电价约束的所有铸件的调度问题。开发了一种结合约束传播的启发式算法来解决该调度问题。为了研究和衡量该方法的性能,根据来自中国某著名钢铁厂的集体数据随机生成了许多实例。计算结果表明,我们的算法在提供高质量调度计划方面非常有效,并且可以降低钢铁厂的电力成本。

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