项目名称: 一类包含两种变量的调度优化问题理论方法研究
项目编号: No.61273039
项目类型: 面上项目
立项/批准年度: 2013
项目学科: 自动化技术、计算机技术
项目作者: 江永亨
作者单位: 清华大学
项目金额: 81万元
中文摘要: 随着节能降耗要求的提高,炼油装置先进控制和优化技术不断推广。由于我国原油大量需要进口,来源分布广,性质差别大,导致先进控制和优化技术难以实施。原油调合调度优化是在原油性质多变的条件下完成炼制计划、保证常减压装置进料性质稳定的必要手段。原油调合调度优化是一个大规模复杂非凸非线性混合变量规划问题,其求解非常耗时。此问题包含顺序变量和连续变量,二者具有一定的层次逻辑,其结构代表了一类包含两种变量的优化问题。本课题将问题按逻辑关系分层,以顺序变量为优化变量,以优化连续变量为顺序变量的评价,以序优化思想研究优化算法。研究以进化机制和求解效率与评价深度和搜索广度的关系为主要内容的求解框架、包括概率评价收敛趋势模型和数据拟合的顺序变量概率评价以及约束序优化问题,以形成一种新的求解框架,解决若干基础理论问题,设计有效的求解算法,支持先进控制和优化技术的实施,推动一类含有两种变量的调度优化问题的研究与应用。
中文关键词: 调度;两层结构;建模;拉格朗日分解;序优化
英文摘要: As the demand of energy saving increasing, the advanced process control (APC) and optimization technology (OT) have been developed on refinery device. Since a large part of crude oil in China is imported from different place all over the world, the qualities are far different from each other, this make APC and OT difficult to implement. The schedule optimization of crude oil blending (SOCOB) is the necessary method to accomplish refining plan and keep the blent oil qualities stable. The SOCOB problem is a large scale complex non-convex non-linear hybrid-varariable optimization problem, and is time consuming to solve. The problem contains sequence and continuous variables with some certain hiberarchy logic, and is the reprsentive of a class of optimization problem. The SOCOB problem is transformed to a two-layer problem according to its logic character, and the sequence variables are selected as decision variables, the optimization of continuous variables are taken as evaluation of the relative sequence variable in the proposal. The whole problem is studied with ordinal optimization ideas. The solution scheme including evolution mechanism and the balance between search width and evaluation depth, the stochastic evaluation including evaluation convergency model and data fitting, the constrained ordinal optimizatio
英文关键词: schedule;two-layer structure;model;Lagrangian decomposition;ordinal optimization