| 一种针对原油调合过程的新型调度方法(英文) |
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| 引用本文： | 摆亮,江永亨,黄德先,刘先广. 一种针对原油调合过程的新型调度方法(英文)[J]. 中国化学工程学报, 2010, 18(5): 777-786 |
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| 作者姓名： | 摆亮 江永亨 黄德先 刘先广 |
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| 作者单位： | 1. Institute of Process Control Engineering, Department of Automation, Tsinghua University, Beijing 100084, China;2. TECHFLY Company, Beijing 100083, China |
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| 基金项目： | Supported by the National High Technology Research and Development Program of China (2007AA04Z193);the National Natural Science Foundation of China (60974008, 60704032) |
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| 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.
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| 关 键 词： | crude oil blending scheduling multilevel iterative algorithm intelligent optimization constrained optimization |
| 收稿时间： | 2010-01-12 |
| 修稿时间： | 2010-1-12 |
A Novel Scheduling Strategy for Crude Oil Blending |
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| BAI Liang,JIANG Yongheng,HUANG Dexian,LIU Xianguang. A Novel Scheduling Strategy for Crude Oil Blending[J]. Chinese Journal of Chemical Engineering, 2010, 18(5): 777-786 |
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| Authors: | BAI Liang JIANG Yongheng HUANG Dexian LIU Xianguang |
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| Affiliation: | 1. Institute of Process Control Engineering, Department of Automation, Tsinghua University, Beijing 100084, China;2. TECHFLY Company, Beijing 100083, China |
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| 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. |
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| Keywords: | crude oil blending scheduling multilevel iterative algorithm intelligent optimization constrained optimization |
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