期刊文献+

基于仿真的炼油厂罐区操作再调度策略 被引量:4

Simulation-based rescheduling strategy of tank farm operations in refinery
下载PDF
导出
摘要 针对炼油厂操作过程中所存在的大量操作不确定性,提出了一种基于两层仿真系统的再调度方法保证了调度指令的稳定性。在下层模型中引入罐区操作的不确定干扰,并对初始优化方案进行仿真。上层仿真系统采用启发式寻优的方法,当下层干扰发生后得到保证组分和物料双重平衡的安全方案。基于此安全方案,通过固定混合整数线性优化模型中的二元变量并对方案的偏离进行惩罚从而缩小可行域快速得到局部优化解。以某炼厂罐区操作为例,验证了这一再调度策略的有效性。 To enhance the robustness of the scheduling in refinery with operational uncertainty,a novel rescheduling method based on a two-level simulation system is proposed in this paper.The lower level model with uncertainty in the tank farm is used to simulate the deviation from the original plan.And the heuristic rule is further applied to the upper level simulation model according to the disruptions from the lower level to get the conservative plan which satisfies both material and components constrains simultaneously.Subsequently,by fixing the value of binary decision variables and penalizing the simulated deviation in the MILP model,a sub-optimal solution is obtained with less computational effort.The effectiveness of the proposed rescheduling framework is illustrated through a tank farm operation case in real world refinery.
出处 《化工学报》 EI CAS CSCD 北大核心 2012年第9期2755-2765,共11页 CIESC Journal
基金 国家重点基础研究发展计划项目(2012CB720500)~~
关键词 仿真 启发式 再调度 优化 simulation heuristic rescheduling optimization
  • 相关文献

参考文献14

  • 1Lee H, Pinto J M, Grossmann I E, et al. Mixed-integer linear programming model for refinery short-term scheduling of crude oil unloading with inventory management [J]. Industrial & Engineering Chemistry Research, 1996, 35 (5) : 1630-1641.
  • 2Li W K, Hui C W, Hua B, et al. Scheduling crude oil unloading, storage, and processing [J ]. Industrial Engineering Chemistry Research, 2002, 41 (26): 6723-6734.
  • 3Li Z,Ierapetritou M.Process scheduling under uncertainty:review and challenges[J].Computers&Chemical Engineering,2008,32(4):715-727.
  • 4Lin X,Janak S L,Floudas C A.A new robust optimization approach for scheduling under uncertainty(Ⅰ):Bounded uncertainty[J].Computers & Chemical Engineering,2004,28(6/7):1069-1085.
  • 5Kunnathur A S, Sundararaghavan P, Sampath S. Dynamic rescheduling using a simulation-based expert system [J]. Journal of Manufacturing Technology Management, 2004, 15 (2): 199-212.
  • 6Mendez C A,Cerd J.An MILP framework for batch reactive scheduling with limited discrete resources [J].Computers&Chemical Engineering,2004,28(6/7):1059-1068.
  • 7Rosl F J,Harjunkoski I,Rkqvist J,et al.An MILP-based reordering algorithm for complex industrial scheduling and rescheduling [J].Computers&Chemical Engineering,2001,25(4/5/6):821-828.
  • 8Adhitya A, Srinivasan R, Karimi I. Heuristic rescheduling of crude oil operations to manage abnormal supply chain events[J]. AIChEJournal, 2007, $3 (2) : 397-422.
  • 9Adhitya A,Srinivasan R,Karimi I.A model-based rescheduling framework for managing abnormal supply chain events [J].Computers&Chemical Engineering,2007, 31(5/6):496-518.
  • 10Wang J,Rong G.Robust optimization model for crude oil scheduling under uncertainty [J].Industrial&Engineering Chemistry Research,2009,49(4):1737-1748.

二级参考文献1

共引文献9

同被引文献18

引证文献4

二级引证文献12

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部