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汽油自动调合系统关键技术研究
其他题名Research on Key Technologies of Gasoline Automatic Blending System
王伟
学位类型工学博士
导师谭民 ; 李泽飞
2007-05-30
学位授予单位中国科学院研究生院
学位授予地点中国科学院自动化研究所
学位专业控制理论与控制工程
关键词汽油调合 辛烷值调合规则 分类分析法 生产计划 调合排产 在线调合 Gasoline Blending Octane Number Blending Rules Classification Analysis Production Planning Production Scheduling On-line Blending
摘要汽油自动调合是通过对调合规律的深入研究建立正确的调合模型,并借助数学规划、在线测量技术和自动控制技术,实现汽油调合的自动、在线运行,既能实现汽油质量指标严格控制的目的,又能根据实际生产情况,在满足产品质量要求的前提下,实现汽油生产过程经济效益最大化。 本文结合中国炼油企业生产现状,对汽油自动调合操作所涉及的调合规则、生产计划、调合排产、在线优化调合、控制等一系列关键技术进行研究,提出了适合我国国情的汽油自动调合整体解决方案。 论文取得的主要研究成果如下: (1)采用实验分析的方法,研究了国内部分炼油厂汽油组分辛烷值调合特性,提出了汽油辛烷值指数调合规则模型和汽油组分辛烷值调合特性分类分析法。指数模型是以某地原油为基础建立的汽油组分辛烷值调合模型,更适用于企业生产;分类分析法为研究复杂的汽油组分辛烷值调合特性提供了一种实用分析方法。 (2)提出了汽油生产串联计划模型和相应算法。采用串联计划算法安排汽油生产计划,可以优化成品汽油产品结构,增加高附加值汽油产量,实现汽油生产全局优化。同时,串联计划模型及算法可以在一定程度上指导炼油企业装置生产,提高企业经济效益和市场竞争力。 (3)以汽油生产手工排产操作模式为参考,提出汽油调合递进排产模型及算法,实现汽油生产计划和在线调合的紧密联系。递进排产算法综合考虑汽油组分生产装置运行、汽油组分罐存等生产情况,对汽油调合生产进行计算机排产,避免了人工排产的随机性,保证汽油调合过程完成计划任务。 (4)提出基于优先级约束CMMO的调合模型及相应算法、基于随机规划的调合模型及相应算法、目标规划与调合策略相结合的调合模型及相应算法,生成汽油在线调合配方,控制DCS装置完成汽油调合操作。基于优先级约束CMMO的在线调合算法,克服了汽油在线调合过程中无可行调合配方问题,可以对汽油调合操作满意度进行直观评估;基于随机规划的在线算法,具有对在线调合过程中汽油组分性质不确定性进行处理的能力,方便对成品汽油合格率进行控制;目标规划与调合策略相结合的在线算法,解决了在线调合无可行调合配方问题,可以满足在线调合实时性要求。
其他摘要Gasoline automatic blending is a typical application of computer manufacturing method that relies on mathematic programming, on-line measuring technology and automatic control technology. Based on automatic blending method, refineries can realize gasoline blending operations to execute automatically, at the same time, make the revenues maximal with thinking with all characters of the gasoline on-specification. In this paper, the investigations are carried out in some key technologies of gasoline automatic blending system such as characters blending rules, production plan, blending scheduling, on-line optimization blending, and grouned on the gasoline production status, a series of solving algorithms on the key technologies presented above are developed. The contributions of the research are layed out as follows: (1) Make research on the blending characters of gasoline octane number by experiment analysis theory, and establish the EXP models for gasoline octane number blending rules; Develop classification analysis method as the universal means carrying out in blending characters research of octane number. (2) Present series planning model and corresponding algorithm for gasoline production. The new planning algorithm not only overcomes the local optimization problems brought by isolated production planning models, but also optimizes the gasoline structure and increases the outputs of high returns. The utilization of series planning model can gain the optimal gasoline production strategy and direct the units’ production so as to enhance the competitive capability of refineries in markets. (3) Present a degressive scheduling algorithm based on the manual gasoline blending scheduling operations. The new algorithm takes the running states of production units, the storage of feedstock into account, and realizes the computer control scheduling of gasoline production. (4) Establish three on-line gasoline blending models and corresponding algorithms: the on-line model based on Constrained Multi-objective Multi-degree of freedom Optimization (CMMO) with priority soft-constraints, the on-line model based on stochastic program and the on-line model integrating blending strategy and objective program. Although the three on-line algorithms all have the function to produce on-line blending recipes and control DCS to complete gasoline blending, they also have the characteristics of their own. The one based on CMMO with priority soft-constraints is quite convenient to produce the satisfying evaluation for a batch of gasoline blending; the one based on stochastic program matches the on-line blending procedure more closely, and can deal with the disturbs from feedstock qualities; the one integrating blending strategy and objective program uses the manual blending methods to solve the problem without feasible blending recipes, simultaneously meets the real-time requirement of on-line blending.
馆藏号XWLW1148
其他标识符200418014628027
语种中文
文献类型学位论文
条目标识符http://ir.ia.ac.cn/handle/173211/5991
专题毕业生_博士学位论文
推荐引用方式
GB/T 7714
王伟. 汽油自动调合系统关键技术研究[D]. 中国科学院自动化研究所. 中国科学院研究生院,2007.
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