基于人工鱼群算法的汽油调和优化  

Gasoline Blending Optimization Based on Artificial Fish Swarm Algorithm

作　　者：朱洪翔 隋顾磊 ZHU Hong-xiang;SUI Gu-lei(Sinopec(Dalian)Research Institute of Petroleum and Petrochemicals Limited Company,Dalian Liaoning 116041,China)

机构地区：[1]中石化(大连)石油化工研究院有限公司,辽宁大连116041

出　　处：《当代化工》2022年第8期1912-1915,1947,共5页Contemporary Chemical Industry

摘　　要：汽油产品是炼化企业主要效益来源之一,如何优化汽油池调和方案以获得最大经济效益是一个关键问题。使用人工鱼群算法对汽油调和进行优化,以最大利润为目标函数,根据物性指标建立非线性约束方程,并通过惩罚函数将非线性规划转换为无约束优化问题,再通过人工鱼群算法进行优化求解。利用某炼厂汽油池实测数据进行了测试,结果表明,基于人工鱼群算法的汽油调和优化能够实现辛烷值卡边,是一种可行的优化汽油池调和方案的方法。Gasoline is one of the main beneficial products for refineries. How to optimize the blending scheme to maximize economic benefits is a key issue. In this paper, the Artificial Fish Swarm Algorithm was used to optimize the gasoline blending. Taking the maximum profit as the objective function, and a group of nonlinear constraint equations were then established according to the property indicators. After converting the nonlinear programming issue into an unconstrained optimization problem through the penalty function, the Artificial Fish Swarm Algorithm was adopted to solve the problem. A test was carried out using the real data of a gasoline pool in a refinery, and the results showed that presented Artificial Fish Swarm Algorithm based gasoline blending method realized the octane number edge optimization, and it is a feasible method to optimize the gasoline blending.

关 键 词：汽油调和 人工鱼群算法 惩罚函数 约束方程 

分 类 号：TE626.21[石油与天然气工程—油气加工工程]