不确定条件下炼油厂氢气网络系统的柔性设计与优化

FLEXIBLE DESIGN AND OPTIMIZATION OF REFINERY HYDROGEN NETWORKS UNDER UNCERTAINTIES

针对炼化企业的氢气网络长周期运行受外部市场变化、原油性质波动、操作条件改变等多种不确定因素影响的问题,采用融合柔性设计的两阶段随机规划建模方法建立数学规划模型,以集成优化策略应对生产过程中的多种不确定性,在优化经济效益的同时确保操作过程的鲁棒性;继而对所构建的含有大量双线性项的混合整数非线性规划模型,提出一种基于多参数分解技术的全局优化算法,以加速收敛;并以某炼油厂氢气网络柔性设计与优化案例验证了该模型的普适性和算法的高效性。结果表明,该集成优化模型可以在复杂的氢气网络结构之间进行氢气资源的灵活回收和梯级匹配,多情景柔性操作策略实现了不确定环境下氢气网络经济效益的最大化。

The integrated design and optimization of hydrogen networks is a significant pathway for refineries to achieve energy conservation and carbon emission reduction.However,the long-term operation of hydrogen networks is subject to various uncertain factors such as external market changes,crude feedstock property fluctuations,and operating condition variations,etc.A novel two-stage stochastic programming modeling method based on flexibile design was used to establish a mathematical programming model,which could integrate optimization strategies to deal with the uncertainties in the production process.Then,the mixed-integer nonlinear programming model with a large number of bilinear terms was constructed,a tailored-made global optimization algorithm based on multiparametric disaggregation technique was proposed to accelerate convergence,and a flexible design and optimization case of hydrogen network in a refinery was presented to verify the universality of the model and the efficiency of the algorithm.The results showed that the integrated optimization model could carry out flexible recovery and cascading matching of hydrogen resources among complex hydrogen network structures,and multi-scenario operation strategies could increase the operational flexibility and maximize the economic benefits of the hydrogen network under uncertain environments.