Fuzzy chance constrained programming model for refinery short-term scheduling problem

被引：0
|
作者：
Cuiwen, C. [1 ]
Bin, J. [1 ,2 ]
Xingsheng, G. [1 ]
机构：
[1] E China Univ Sci & Technol, Res Inst Automat, Shanghai, Peoples R China
[2] Shanghai Dianji Univ, Dept Elect Engn, Shanghai, Peoples R China
来源：
2006 9TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION, ROBOTICS AND VISION, VOLS 1- 5 | 2006年
基金：
中国国家自然科学基金;
关键词：
crude oil short-term scheduling; fuzzy chance constrained; mixed-integer nonlinear programming;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper develops a fuzzy chance constrained mixed-integer nonlinear programming (FCC-MINLP) model and the solution methods for refinery short-term crude oil scheduling problem under demands uncertainty. To reduce the calculation complexity of the model, it is transformed into its equivalent fuzzy chance constrained mixed-integer linear programming (FCC-MILP) model by using the method of Quesada & Grossmann [5]. After that the FCC-MILP model is solved through its crisp equivalent algorithm and fuzzy simulation algorithm rely on the theory presented by Liu & 1wamura [12][13] for the first time in this area. Finally, a case study which has 265 continuous variables, 68 binary variables and 318 constraints is effectively solved in LINGO 8.0 [8] with the proposed approaches.
引用
收藏
页码：352 / +
页数：2
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