基于仿真的炼油厂罐区操作再调度策略

doi:10.3969/j.issn.0438-1157.2012.09.013

化工学报 ›› 2012, Vol. 63 ›› Issue (9): 2755-2765.DOI: 10.3969/j.issn.0438-1157.2012.09.013

基于仿真的炼油厂罐区操作再调度策略

王子豪, 荣冈, 冯毅萍

浙江大学智能系统与控制研究所, 工业控制技术国家重点实验室, 浙江杭州 310027

收稿日期:2012-06-15 修回日期:2012-06-22 出版日期:2012-09-05 发布日期:2012-09-05
通讯作者: 荣冈
作者简介:王子豪(1988-),男,博士研究生。
基金资助:
国家重点基础研究发展计划项目(2012CB720500)。

Simulation-based rescheduling strategy of tank farm operations in refinery

WANG Zihao, RONG Gang, FENG Yiping

State Key Laboratory of Industrial Control Technology, Institute of Cyber-systems and Control, Zhejiang University, Hangzhou 310027, Zhejiang, China

Received:2012-06-15 Revised:2012-06-22 Online:2012-09-05 Published:2012-09-05
Supported by:
supported by the National Basic Research Program of China(2012CB720500).

摘要/Abstract

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。

关键词: 仿真, 启发式, 再调度, 优化

Abstract: 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.

Key words: simulation, heuristic, rescheduling, optimization

中图分类号:

TQ021.8

王子豪, 荣冈, 冯毅萍. 基于仿真的炼油厂罐区操作再调度策略[J]. 化工学报, 2012, 63(9): 2755-2765.

WANG Zihao, RONG Gang, FENG Yiping. Simulation-based rescheduling strategy of tank farm operations in refinery[J]. CIESC Journal, 2012, 63(9): 2755-2765.

参考文献 14

[1]	Lee 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
[2]	Li 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
[3]	Li Z,Ierapetritou M.Process scheduling under uncertainty:review and challenges[J].Computers&Chemical Engineering,2008,32(4):715-727
[4]	Lin 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
[5]	Kunnathur 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
[6]	Mendez 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
[7]	Rosl 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
[8]	Adhitya A,Srinivasan R,Karimi I.Heuristic rescheduling of crude oil operations to manage abnormal supply chain events [J].AIChE Journal,2007, 53(2):397-422
[9]	Adhitya 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
[10]	Wang J,Rong G.Robust optimization model for crude oil scheduling under uncertainty [J].Industrial&Engineering Chemistry Research,2009,49(4):1737-1748
[11]	Robertson G,Palazoglu A,Romagnoli J.A multi-level simulation approach for the crude oil loading/unloading scheduling problem [J].Computers&Chemical Engineering,2011,35(5):817-827
[12]	Shah N,Li Z,Ierapetritou M.Petroleum refining operations:key issues,advances,and opportunities [J].Industrial&Engineering Chemistry Research,2011,50(3):1161-1170
[13]	Luo C,Rong G.A strategy for the integration of production planning and scheduling in refineries under uncertainty [J].Chinese Journal of Chemical Engineering,2009,17(1):113-127
[14]	Reddy P C P,Karimi I A,Srinivasan R.Novel solution approach for optimizing crude oil operations [J].AIChE Journal,2004,50(6):1177-1197

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基于仿真的炼油厂罐区操作再调度策略

Simulation-based rescheduling strategy of tank farm operations in refinery

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