化工学报 ›› 2022, Vol. 73 ›› Issue (4): 1623-1630.doi: 10.11949/0438-1157.20211737

• 过程系统工程 • 上一篇    下一篇

面向对象的炼油厂全厂调度优化模型及程序框架

韩彪(),尚超,江永亨,黄德先()   

  1. 清华大学自动化系，北京 100084
  • 收稿日期:2021-12-06 修回日期:2022-01-21 出版日期:2022-04-05 发布日期:2022-04-25
  • 通讯作者: 黄德先 E-mail:hanb16@mails.tsinghua.edu.cn;huangdx@tsinghua.edu.cn
  • 作者简介:韩彪（1994—），男，博士研究生，hanb16@mails.tsinghua.edu.cn
  • 基金资助:
    国家自然科学基金项目(61673236)

Object-oriented refinery plant-wide scheduling optimization model and program framework

Biao HAN(),Chao SHANG,Yongheng JIANG,Dexian HUANG()   

  1. Department of Automation, Tsinghua University, Beijing 100084, China
  • Received:2021-12-06 Revised:2022-01-21 Published:2022-04-05 Online:2022-04-25
  • Contact: Dexian HUANG E-mail:hanb16@mails.tsinghua.edu.cn;huangdx@tsinghua.edu.cn

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摘要：

基于考虑炼油装置优化操作模式切换过程的总体思想，构建了一套炼油厂全厂调度优化离散时间模型结构，并形成配套的程序框架。采用面向对象的建模方式，引入模态指示矩阵等表达，为炼油厂生产调度建模提供了较为清晰的参考思路。通过GAMS和MATLAB的数据交互，实现二者优势互补，为进一步研究炼油生产调度模型提供便利、奠定基础。案例研究验证了所提模型结构及程序框架的有效性。

关键词: 整体优化, 模型简化, 集成, 炼油厂, 调度, 离散时间

Abstract:

Under the overall idea of the refinery scheduling model considering optimal operating mode switching of units, a refinery plant-wide scheduling optimization discrete-time model structure is constructed with a matching program framework. The object-oriented modeling method is adopted, and expressions such as modal indication matrix are introduced, which provides a clear reference idea for the generalized oil refinery production scheduling modeling. Through the data interaction between GAMS and MATLAB, the complementary advantages of the two are realized, which provides convenience and lays a foundation for further research on the refinery production scheduling model. The case study verifies the effectiveness of the proposed model structure and program framework.

Key words: global optimization, model reduction, integration, refinery, scheduling, discrete-time

中图分类号: 

  • TB 114.1

图1

一个典型炼油厂生产流程简图"

图2

装置FCCU的模态转换过程示意图"

表1

案例订单需求信息"

订单

交货

时刻

柴油/吨汽油/吨
GⅢ0#GⅢ10#GⅣ0#GⅢ90#GⅢ93#GⅢ97#JⅣ93#JⅣ97#
l116 h末600660368000500
l232 h末200300350200450400170130
l360 h末0000354611786400

图3

调度优化求解结果甘特图（单位：t/h）"

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