基于MOLCA的催化裂化分离系统多目标模糊优化  

Multi-objective Fuzzy Optimization for Fluid Catalytic Cracking Separation System Based on MOLCA

作　　者：郝晓翠 王伟[2] 汪坤[2] 史彬 鄢烈祥 HAO Xiaocui;WANG Wei;WANG Kun;SHI Bin;YAN Liexiang(1. School of Chemical Engineering and Life Sciences, Wuhan University of Technology, Wuhan 430070, Hubei Province, China; 2. Sinopec Wuhan Company, Wuhan 430082, Hubei Province, Chin)

机构地区：[1]武汉理工大学化学化工与生命科学学院,湖北武汉430070 [2]中国石油化工股份有限公司武汉分公司,湖北武汉430082

出　　处：《计算机与应用化学》2018年第2期107-114,共8页Computers and Applied Chemistry

基　　金：国家自然科学基金资助项目(21376185)

摘　　要：催化裂化分离系统由分馏系统和吸收稳定系统两部分组成,本文将催化裂化分离系统作为一个整体进行研究。应用流程模拟软件Aspen Plus建立了该系统的全流程模拟,在此基础上,以干气中C_（3＋）组分数最小和系统能耗最少作为优化目标,建立了该系统的多目标优化数学模型。应用模糊优化理论对优化约束条件进行模糊处理,并采用多目标列队竞争算法（MOLCA）对模糊优化模型以及普通优化模型进行求解。计算结果表明,采用模糊优化的结果优于普通优化的结果,干气品质和系统能耗都得到了明显的改善。为催化裂化分离系统的操作优化提供了参考。Catalytic cracking separation system consists of fractionation system and absorption stabilization system. Catalytic cracking separation system is studied as a whole in this paper. A process simulation software, Aspen plus is applied to establish this whole process simulation, on this basis, the multi-objective model is built in consideration of minimizing this system＇s energy consumption and minimizing volume fraction of C_（3＋） in dry gas. Fuzzy optimization theory is applied to dealing with optimization variables, and multi-objective line-up competition algorithm（MOLCA） is employed to solve the fuzzy optimization model and ordinary optimization model. The results show that the fuzzy optimization algorithm results are better than ordinary optimization results, the quality of dry gas and system energy consumption also have been improved. This work provides an important reference for catalytic cracking separation system in operation optimization.

关 键 词：催化裂化分离系统 流程模拟 模糊优化 多目标优化 多目标列队竞争算法 

分 类 号：TQ015.9[化学工程] TP391.9[自动化与计算机技术—计算机应用技术]