文献类型：期刊文献

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] Research Institute of Automation, East China University of Science and Technology, China; [2] School of Chemical Engineering, East China University of Science and Technology, China

年份：2008

卷号：3

起止页码：294

外文期刊名：Proceedings - 5th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2008

收录：EI(收录号：20090211849895)

语种：英文

外文关键词：Scheduling - Storage management - Artificial intelligence - Crude oil - Distillation equipment - Integer programming - Refining - Nonlinear programming

摘要：Three kinds of credibility fuzzy chance constrained mixed-integer nonlinear programming models (CFCC-MINLP) 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. ? 2008 IEEE.