A Novel Scheduling Strategy for Crude Oil Blending
A Novel Scheduling Strategy for Crude Oil Blending作者机构：Institute of Process Control Engineering Department of Automation Tsinghua University Beijing 100084 China TECHFLY Company Beijing 100083 China
出 版 物：《Chinese Journal of Chemical Engineering》 (中国化学工程学报（英文版）)
年 卷 期：2010年第18卷第5期
页 面：777-786页
核心收录：
学科分类：081702[工学-化学工艺] 08[工学] 0817[工学-化学工程与技术] 0835[工学-软件工程] 081202[工学-计算机软件与理论] 0812[工学-计算机科学与技术（可授工学、理学学位）]
基 金：Supported by the National High Technology Research and Development Program of China (2007AA04Z193) the National Natural Science Foundation of China (60974008 60704032)
主 题：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.
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