炼油过程集成优化控制与调度优化理论方法研究

项目名称： 炼油过程集成优化控制与调度优化理论方法研究

项目编号： No.21276137

项目类型： 面上项目

立项/批准年度： 2013

项目学科： 化学工业

项目作者： 黄德先

作者单位： 清华大学

项目金额： 80万元

中文摘要： 全流程集成优化控制与调度优化是炼油企业综合自动化发展的必然要求，且已为学术界所关注。但因炼油过程的复杂性，目前还不存在可供调度优化之用的操作方案实现途径，缺乏相应的模型描述框架及反应原油变化和操作方案切换的大规模调度问题求解算法。本项目提出了集成控制与优化、融合智能决策与优化计算的新思路：以装置级先进控制和卡边优化保障生产装置按有限个方案运行，进而建立多模式模型，设计基于模式切换代价最小化的智能决策优化方法，与优化计算方法融合，对调度优化问题求解。装置优化控制为调度优化提供可实现的模型基础，调度优化为装置优化运行提供平稳条件，以闭环整体方案解决难题，可提供可操作的解决方案。主要内容有：1) 针对原料变化和不同优化操作方案的基于装置控制和卡边优化的精细化装置建模；2) 面向原油变化、基于模式切换代价最小化的全流程集成优化控制与调度智能决策系统；3) 基于学习机制的精细化模型在线修正理论方法。

中文关键词： 炼油；集成控制与优化；模式切换；调度优化；智能决策

英文摘要： As a trend of refinery integrated automation, the integrated optimization control and schedule optimization (IOCSO) of whole process has be focused on by the academia. Because of the complexity of the refinery process, there doesnot exist the implementation methods for operation pattern to support schedule optimization, and the correponding model scheme and solution algorithm are short for large scale schedule problem which can deal with crude oil change and operation scheme switch. A novel idea is proposed with integrated control and optimization, syncretized intelligent decision and optimization computing as follows. Implement advanced process control (APC) and extreme optimization (EO) to force the devices work at several certain states, and then establish multi-mode model, an intelligent decision optimization method is designed to solve the schedule problem based on the principle of minimizing mode-switch cost, syncretized with optimization algorithm. APC and EO support the schedule optimization by realizable model, and schedule optimization stablize the feed-in of devices to support APC and EO. Thus, a realizable closed-loop scheme will be gained for IOCSO. The main contents include 1) refined model of devices based on APC and EO aiming to crude oil change and operation mode switch, 2)intelligent decision s

英文关键词： refinery；integrated control and optimization；mode switch；schedule optimization；intelligent decision