基于能耗的冷轧连退机组能效建模与工艺参数优化及排序建模优化

Energy Efficiency Modeling,Process Parameter Optimization and Sequencing Modeling Optimization of Cold Rolling Continuous Annealing Units Based on Energy Consumptions

以冷轧连续退火机组能耗集中的炉区作为研究对象,根据能量流与热力学理论,建立了能耗与主要工艺参数之间的映射模型;采用MATLAB结合一种改进的量子遗传算法对能效模型进行优化,获取在保证质量的前提下能效最高的工艺参数组合;以辅助设备能耗最低、生产规格跳变平缓以及满足交货期为优化目标,建立了冷轧连退产线生产调度多目标优化模型,采用非支配排序遗传算法(NSGA-Ⅱ)进行求解,得出最优排序。结果表明,该模型和算法对生产实际有一定的指导作用。

The furnace area with concentrated energy consumption of cold rolling continuous annealing units was studied.The theory of energy flow and thermodynamics was used to establish a mapping model between energy consumption and main process parameters.Combining MATLAB and an improved quantum genetic algorithm,the energy efficiency model was optimized to obtain a process parameter combinations with the highest energy efficiency under the premise of quality assurance.The minimum energy consumption of auxiliary equipment,the smooth transition of production specifications and the satisfaction of delivery time were used as optimization targets.The multi-objective optimization model of production scheduling for cold rolling continuous annealing lines was established and solved by NSGA-Ⅱ,and then the optimal sorting was presented.The results show that the model and the algorithm have a certain guiding effectiveness on production.