Energy-Efficient Integration Optimization of Production Scheduling and Ladle Dispatching in Steelmaking Plants
Energy-Efficient Integration Optimization of Production Scheduling and Ladle Dispatching in Steelmaking Plants
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炼钢厂生产调度与钢包调度节能一体化优化
DOI：
10.1109/access.2020.3027018
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发表时间：
2020
期刊：
影响因子：
3.9
通讯作者：
Cao Jun
中科院分区：
文献类型：
--
作者：
Han Dayong;Tang Qiuhua;Zhang Zikai;Cao Jun
现有的生产调度模式忽视钢包调度，导致钢包加热能耗增加，生产不稳定。因此，本文研究了生产调度与钢包调度的节能集成优化问题。具体而言，一个混合整数线性规划模型制定协调它们之间的时间依赖性的相关性和量化的能源消耗。此外，一个增强的候鸟优化算法（EMBO），提出了解决这个NP-难集成优化问题。在该算法中，设计了一个基于规则的三级启发式解码，以获得给定产生式序列下的最优解;添加了精心设计的邻域结构，以加强探索;采用了一个基于模拟退火的接受准则，以避免陷入局部最优。此外，还提出了一种新的竞争机制，通过V形群左右线之间的信息交换来增加种群多样性。大量的实验结果表明，所提出的EMBO明显优于所有的比较算法，所提出的集成优化的能源消耗减少了1.21%的情况下，生产效率不变。
The existing production scheduling mode ignores ladle dispatching resulting in the increase of energy consumption in ladle heating and instability in production. Hence, we study the energy-efficient integration optimization of production scheduling and ladle dispatching in this paper. Specifically, a mixed integer linear programming model is formulated to coordinate the time-dependent correlations between them and quantify the energy consumption of them. Moreover, an enhanced migrating birds optimization algorithm (EMBO) is proposed to tackle this NP-hard integration optimization problem. In this proposed algorithm, a three-level rule-based heuristic decoding is designed to achieve the optimal solutions at the given production sequence; well-designed neighborhood structures are appended to intensify exploration; a simulated annealing-based acceptance criterion is hired to escape from local optima. Additionally, a novel competitive mechanism for birds regrouping is developed to increase the population diversity by information exchange between the left and right lines of V-formation. Mass experimental results demonstrate that the proposed EMBO observably outperforms all the compared algorithms, and the proposed integration optimization decreases the energy-consumption by 1.21% in the context of constant production efficiency.
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