基于HYSYS和NSGA-Ⅱ的常压塔多目标优化  

Multi-objective optimization of industrial crude distillation unit based on HYSYS and NSGA-Ⅱ

作　　者：于晓栋 吕文祥[1] 黄德先[1] 金以慧[1] 

机构地区：[1]清华大学自动化系过程控制工程研究所,北京100084

出　　处：《化工学报》2008年第7期1646-1649,共4页CIESC Journal

基　　金：国家高技术研究发展计划项目(2007AA04Z193);国家自然科学基金项目(60574072);国家重点基础研究发展计划项目(2002CB312200)~~

摘　　要：研究了炼油工业中常压塔单元的最优操作问题,通过流程模拟软件HYSYS模拟常压塔静态模型,并利用改进非支配排序遗传算法(elitist non-dominated sorting genetic algorithm,NSGA-Ⅱ)来求解效益-能耗多目标问题,从而得到一组最优操作条件Pareto解集,结果表明在保证各产品质量的前提下,常压塔全塔的经济效益还可以提高。This study provides insights into the optimal operation of one of the most important refinery units, namely, the crude distillation unit （CDU）. A steady state model was developed to simulate an industrial CDU by using a process simulator, HYSYS. The elitist non-dominated sorting genetic algorithm （NSGA-Ⅱ ） was used to solve a meaningful multi-objective optimization problem. It was observed that the economic benefit of the CDU could be increased while keeping the product quality within acceptable limits. This procedure used was quite general and could be applied to other CDUs.

关 键 词：多目标优化 常压塔 HYSYS NSGA-Ⅱ PARETO解集 最优操作 

分 类 号：TP13[自动化与计算机技术—控制理论与控制工程]