高炉过程的多目标最优化

本文的炼铁优化模型以高炉炼铁的产量、成本、焦化三个主要技术经济指标作为三个目标函数, 用56个约束条件描述了高炉炼铁过程的行为特征, 用优化变量与状态变量相结合的方法将非线性关系线性化, 并用循回协调的算法进行寻优求解。同时建立了高炉炼铁优化的灵敏度分析方法, 多目标处理采用线性加杜法。实际运行表明模型可以单目标运行, 也可以全面综合为多目标运行, 这样可灵活地适应高炉生产的不同时期的要求。优化结果对高炉操作有良好的指导作用。

Multiple-objective Optimization on Blast Furnace Process

In this paper,an ironmaking optimization model described the characteristics of blast furnace ironmaking process with 56 constraints and three objective functions which are produc-tivity,hot metal cost and coke ratio.The non-linear relations were expressed by combining of the optimum variables and state variables,and calculated with the iterated concord method.In addition,a sensitivity analysis approach was built up for the blast furnace ironmaking optimiza-tion,and the multiple objectives were treated with the linear weighted method.The applications showed that the optimization model could run not only with single objective,but also with multi-ple objectives,thus,the model could meet various demands in different operation conditions,and the optimum results were of good guidance for the blast furnace operation.