文献类型：会议论文

英文题名：Chance constrained programming with fuzzy parameters for refinery crude oil scheduling problem

作者：Cao, Cuiwen; Gu, Xingsheng

机构：[1]E China Univ Sci & Technol, Res Inst Automat, Shanghai 200237, Peoples R China

会议论文集：3rd International Conference on Fuzzy Systems and Knowledge Discovery

会议日期：SEP 24-28, 2006

会议地点：Xian, PEOPLES R CHINA

语种：英文

摘要：The main objective of this work is to put forward a chance constrained mixed-integer nonlinear fuzzy programming model for refinery short-term crude oil scheduling problem under demands uncertainty of distillation units. The model studied has characteristics of discrete events and continuous events coexistence, multistage, multiproduct, uncertainty and large scale. Firstly, the model is transformed into its equivalent fuzzy mixed-integer linear programming model by using the method of Quesada & Grossmann ([5]). Then the fuzzy equivalent model is changed into its crisp MILP model relies on the theory presented by Liu & Iwamura ([12]) for the first time in this area. Finally, the crisp MILP model is solved in LINGO 8.0 based on time discretization. A case study which has 265 continuous variables, 68 binary variables and 318 constraints is effectively solved with the proposed solution approach.