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不确定条件下炼化企业计划与调度整合策略(英文)

A Strategy for the Integration of Production Planning and Scheduling in Refineries under Uncertainty

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【作者】 罗春鹏荣冈

【Author】 LUO Chunpeng and RONG Gang State Key Lab.of Industrial Control Technology,Institute of Cyber System and Control,Zhejiang University,Hangzhou 310027,China

【机构】 State Key Lab.of Industrial Control Technology,Institute of Cyber System and Control,Zhejiang University,Hangzhou 310027,China

【摘要】 A strategy for the integration of production planning and scheduling in refineries is proposed.This strategy relies on rolling horizon strategy and a two-level decomposition strategy.This strategy involves an upper level multiperiod mixed integer linear programming(MILP) model and a lower level simulation system,which is extended from our previous framework for short-term scheduling problems [Luo,C.P.,Rong,G.,"Hierarchical approach for short-term scheduling in refineries",Ind.Eng.Chem.Res.,46,3656-3668(2007)].The main purpose of this extended framework is to reduce the number of variables and the size of the optimization model and,to quickly find the optimal solution for the integrated planning/scheduling problem in refineries.Uncertainties are also considered in this article.An integrated robust optimization approach is introduced to cope with uncertain parameters with both continuous and discrete probability distribution.

【Abstract】 A strategy for the integration of production planning and scheduling in refineries is proposed.This strategy relies on rolling horizon strategy and a two-level decomposition strategy.This strategy involves an upper level multiperiod mixed integer linear programming(MILP) model and a lower level simulation system,which is extended from our previous framework for short-term scheduling problems [Luo,C.P.,Rong,G.,"Hierarchical approach for short-term scheduling in refineries",Ind.Eng.Chem.Res.,46,3656-3668(2007)].The main purpose of this extended framework is to reduce the number of variables and the size of the optimization model and,to quickly find the optimal solution for the integrated planning/scheduling problem in refineries.Uncertainties are also considered in this article.An integrated robust optimization approach is introduced to cope with uncertain parameters with both continuous and discrete probability distribution.

【基金】 Supported by the National Natural Science Foundation of China (60421002);he National High Technology R&D Program of China(2007AA04Z191)
  • 【文献出处】 Chinese Journal of Chemical Engineering ,中国化学工程学报(英文版) , 编辑部邮箱 ,2009年01期
  • 【分类号】F407.22
  • 【被引频次】22
  • 【下载频次】135
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