文档介绍：基于随机规划的炼厂氢网络改造设计
宣吉 1,廖祖维 1,荣冈 1*,阳永荣 2
(1 工业控制技术国家重点实验室,浙江大学智能系统与控制研究所,浙江杭州 310027
2 化学工程国家重点实验室(浙江大学),化学工程与生物工程学系,浙江杭州 310027)
摘要:氢气是炼油企业重要的战略资源。越来越多的炼油企业开始改造其氢网络以应对日趋严格的环保标准和产品质量。
炼厂的氢气产耗量受原油供应和产品需求的变化而随机波动,这使得传统的确定性模型无法有效描述氢网络设计问题。本
文针对氢网络的改造设计问题,建立了同时考虑设计和调度问题的集成优化模型。采用基于场景的二阶段随机规划方法表
达氢网络运行中的不确定因素,通过将决策变量分为一阶和二阶决策变量,优化计算使第一阶段决策成本与第二阶段决策
的期望成本之和最小。算例表明了本文所提方法的有效性和与传统的确定性方法相比的优越性。
关键字:氢网络;随机规划;改造设计
中图分类号: 文献标识码:A 文章编号:
work retrofit design in refinery based on stochastic
programming
Xuan Ji1,Liao Zuwei1,Rong Gang1*,Yang Yongrong 2
(1State Key Laboratory of Industrial Control Technology, Institute of Cyber-System and Control, Zhejiang University, Hangzhou
310027, China
2State Key Laboratory of Chemical Engineering, Department of Chemical Engineering and Biochemical Engineering, Zhejiang
University, Hangzhou 310027, China)
Abstract: Hydrogen is an important utility among refineries. More and more refineries start retrofitting their works to
meet the rising environmental regulation and product standard. The production and consumption amount of hydrogen are fluctuated
with crude oil supply and product demand. Consequently, the traditional deterministic design methods are not enough to treat such
retrofit problems. In this paper, an integrated model that considers designing and scheduling together is established. Two-stage
st