文献类型：期刊文献

英文题名：Chance constrained programming models for refinery short-term crude oil scheduling problem

作者：Cao, Cuiwen[1];Gu, Xingsheng[1];Xin, Zhong[2]

机构：[1]E China Univ Sci & Technol, Res Inst Automat, Shanghai 200237, Peoples R China;[2]E China Univ Sci & Technol, Sch Chem Engn, Shanghai 200237, Peoples R China

年份：2009

卷号：33

期号：3

起止页码：1696

外文期刊名：APPLIED MATHEMATICAL MODELLING

收录：;EI(收录号：20084611697937);WOS:【SCI-EXPANDED(收录号:WOS:000261727000037)】；

基金：Financial support from the National Natural Science Foundation of China (Grant Nos. 60674075, 60774078), the Key Technology Program of Shanghai Municipal Science and Technology Commission (Grant No. 04dz1 1008), the Research Fund for Outstanding Youth Teachers of East China University of Science and Technology (Grant No. YH0157117) and the Fund for Shanghai Leading Academic Discipline Project (No. 13504) is gratefully appreciated.

语种：英文

外文关键词：Short-term crude oil scheduling problem; Demands uncertainty; Chance constrained mixed-integer nonlinear programming; Stochastic; Fuzzy

摘要：The main objective of this work is to put forward chance constrained mixed-integer nonlinear stochastic and fuzzy programming models for refinery short-term crude oil scheduling problem under demands uncertainty of distillation units. The scheduling problem studied has characteristics of discrete events and continuous events coexistence, multistage, multiproduct, nonlinear, uncertainty and large scale. At first, the two models are transformed into their equivalent stochastic and fuzzy mixed-integer linear programming (MILP) models by using the method of Quesada and Grossmann [I. Quesada, I E. Grossmann, Global optimization of bilinear process networks with multicomponent flows, Comput. Chem. Eng. 19 (12) (1995) 219-1242], respectively. After that, the stochastic equivalent model is converted into its deterministic MILP model through probabilistic theory. The fuzzy equivalent model is transformed into its crisp MILP model relies on the fuzzy theory presented by Liu and Iwamura [B.D. Liu, K. Iwamura, Chance constrained programming with fuzzy parameters, Fuzzy Sets Syst. 94 (2) (1998) 227-237] for the first time in this area. Finally, the two crisp MILP models are solved in LINGO 8.0 based on scheduling time discretization. A case study which has 267 continuous variables, 68 binary variables and 320 constraints is effectively solved with the solution approaches proposed. (C) 2008 Elsevier Inc. All rights reserved.