文献类型：会议论文

英文题名：Credibility Fuzzy Chance Constrained Models for Crude Oil Scheduling and Storage Management

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

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

会议论文集：5th International Conference on Fuzzy Systems and Knowledge Discovery

会议日期：OCT 18-20, 2008

会议地点：Jinan, PEOPLES R CHINA

语种：英文

摘要：Three kinds of credibility fuzzy chance constrained mixed-integer nonlinear programming models (CFCC-MNLP) and the solution methods for the integrated problem of refinery short-term crude oil scheduling and storage management under demands uncertainty of CDUs (Crude-oil Distillation Units) are developed in this paper. To reduce the calculation complexity of these models, they are transformed into their equivalent fuzzy chance constrained mixed-integer linear programming (CFCC-MILP) models. After that these CFCC-MILP models are solved through their crisp equivalent algorithms based on the theory presented by Liu & Liu [15] for the first time in refinery scheduling area. Finally, a case study which has 265 continuous variables, 68 binary variables and 318 constraints is effectively solved in LINGO 8.0 with the proposed approaches.