SCI和EI收录∣中国化工学会会刊

›› 2010, Vol. 18 ›› Issue (5): 777-786.

• PROCESS SYSTEMS ENGINEERING • Previous Articles     Next Articles

A Novel Scheduling Strategy for Crude Oil Blending

BAI Liang1, JIANG Yongheng1, HUANG Dexian1, LIU Xianguang2   

  1. 1. Institute of Process Control Engineering, Department of Automation, Tsinghua University, Beijing 100084, China;
    2. TECHFLY Company, Beijing 100083, China
  • Received:2010-01-12 Revised:2010-05-19 Online:2010-10-28 Published:2010-10-28
  • Supported by:
    Supported by the National High Technology Research and Development Program of China (2007AA04Z193);the National Natural Science Foundation of China (60974008, 60704032)

A Novel Scheduling Strategy for Crude Oil Blending

摆亮1, 江永亨1, 黄德先1, 刘先广2   

  1. 1. Institute of Process Control Engineering, Department of Automation, Tsinghua University, Beijing 100084, China;
    2. TECHFLY Company, Beijing 100083, China
  • 通讯作者: HUANG Dexian,E-mail:huangdx@tsinghua.edu.cn
  • 基金资助:
    Supported by the National High Technology Research and Development Program of China (2007AA04Z193);the National Natural Science Foundation of China (60974008, 60704032)

Abstract: For those refineries which have to deal with different types of crude oil, blending is an attractive solution to obtain a quality feedstock. In this paper, a novel scheduling strategy is proposed for a practical crude oil blending process. The objective is to keep the property of feedstock, mainly described by the true boiling point (TBP) data, consistent and suitable. Firstly, the mathematical model is established. Then, a heuristically initialized hybrid iterative (HIHI) algorithm based on a two-level optimization structure, in which tabu search (TS) and differential evolution (DE) are used for upper-level and lower-level optimization, respectively, is proposed to get the model solution. Finally, the effectiveness and efficiency of the scheduling strategy is validated via real data from a certain refinery.

Key words: crude oil blending, scheduling, multilevel iterative algorithm, intelligent optimization, constrained optimization

摘要: For those refineries which have to deal with different types of crude oil, blending is an attractive solution to obtain a quality feedstock. In this paper, a novel scheduling strategy is proposed for a practical crude oil blending process. The objective is to keep the property of feedstock, mainly described by the true boiling point (TBP) data, consistent and suitable. Firstly, the mathematical model is established. Then, a heuristically initialized hybrid iterative (HIHI) algorithm based on a two-level optimization structure, in which tabu search (TS) and differential evolution (DE) are used for upper-level and lower-level optimization, respectively, is proposed to get the model solution. Finally, the effectiveness and efficiency of the scheduling strategy is validated via real data from a certain refinery.

关键词: crude oil blending, scheduling, multilevel iterative algorithm, intelligent optimization, constrained optimization