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Resilient design and operations of process systems: Nonlinear adaptive robust optimization model and algorithm for resilience analysis and enhancement
Computers & Chemical Engineering ( IF 4.3 ) Pub Date : 2017-11-13 , DOI: 10.1016/j.compchemeng.2017.11.002
Jian Gong , Fengqi You

This paper is concerned with the resilient design and operations of process systems in response to disruption events. A general framework for resilience optimization is proposed that incorporates an improved quantitative measure of resilience and a comprehensive set of resilience enhancement strategies for process design and operations. The proposed framework identifies a set of disruptive events for a given system, and then formulates a multiobjective two-stage adaptive robust mixed-integer fractional programming model to optimize the resilience and economic objectives simultaneously. The model accounts for network configuration, equipment capacities, and capital costs in the first stage, and the number of available processes and operating levels in each time period in the second stage. A tailored solution algorithm is developed to tackle the computational challenge of the resulting multi-level optimization problem. The applicability of the proposed framework is illustrated through applications on a chemical process network and a shale gas processing system.



中文翻译:

过程系统的弹性设计和操作:用于弹性分析和增强的非线性自适应鲁棒优化模型和算法

本文涉及响应中断事件的过程系统的弹性设计和操作。提出了用于弹性优化的通用框架,该框架结合了改进的弹性定量度量和一套完整的过程设计和操作弹性增强策略。提出的框架为给定系统识别了一组破坏性事件,然后制定了多目标两阶段自适应鲁棒混合整数分数规划模型,以同时优化弹性和经济目标。该模型在第一阶段考虑了网络配置,设备容量和资本成本,在第二阶段考虑了每个时间段内可用过程的数量和操作级别。开发了量身定制的解决方案算法,以解决由此产生的多级优化问题的计算难题。通过在化学过程网络和页岩气处理系统上的应用说明了所提出框架的适用性。

更新日期:2017-11-13
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