一种考虑能源约束的炼钢-连铸调度优化方法  

A scheduling optimization method for steelmaking and continuous casting considering energy constraints

作　　者：蒋胜龙[1,2] 文耀民 唐伟 彭功状 JIANG Shenglong;WEN Yaomin;TANG Wei;PENG Gongzhuang(College of Materials Science and Engineering,Chongqing University,Chongqing 400045,China;Education Center of Metallurgical Automation and Testing Technology,Wuhan University of Science and Technology,Wuhan 430080,China;Engineering Research Institute,University of Science and Technology Beijing,Beijing 100083,China)

机构地区：[1]重庆大学材料科学与工程学院,重庆400045 [2]武汉科技大学冶金自动化与检测技术教育中心,湖北武汉430080 [3]北京科技大学工程技术研究院,北京100083

出　　处：《华中科技大学学报（自然科学版）》2022年第6期118-123,132,共7页Journal of Huazhong University of Science and Technology(Natural Science Edition)

基　　金：国家自然科学基金资助项目(61873042);武汉科技大学冶金自动化与检测技术教育中心资助项目(MADTOF2021A01)。

摘　　要：针对碳达峰、碳中和背景下炼钢-连铸生产调度须要重点考虑的能源约束问题,结合钢铁生产能量流和物质流耦合的特点,在设定工序能源负载约束的基础上,建立了同时追求最大完工时间和总等待时间最小化的多目标生产调度优化模型.然后运用适应度分层进化和先知种群策略改进非支配排序多目标遗传进化算法(NSGA-Ⅱ),基于实际炼钢-连铸生产调度实例的数值计算结果表明:所提多目标优化调度模型能够在能源约束下完成生产调度优化,先验知识和分层进化策略较显著地提升了算法NSGA-Ⅱ的性能.Energy constraint is one of the focal points for steelmaking and continuous casting scheduling under carbon peak and carbon neutralization background. Based on the coupling characteristics of energy flow and material flow in steel production,a multi-objective scheduling optimization model was established to minimize the total waiting time and the maximum completion time.Then,an improved multi-objective genetic evolution algorithm(NSGA-Ⅱ) based on fitness stratified evolution and prophetic population strategy was proposed. The numerical results based on the actual steelmaking and continuous casting production scheduling examples show that the proposed multi-objective scheduling model can complete optimal scheduling under the energy constraints,and the prior knowledge and hierarchical evolution strategy significantly improve the performance of NSGA-Ⅱalgorithm.

关 键 词：炼钢连铸 生产调度 多目标优化 能源约束 先知种群 

分 类 号：TF758[冶金工程—钢铁冶金]