文章基本信息

标题：A Bilevel Programming Formulation for Dynamic Real-time Optimization ∗
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作者：Mohammad Zamry Jamaludin ; Christopher L.E. Swartz
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2015
卷号：48
期号：8
页码：906-911
DOI：10.1016/j.ifacol.2015.09.085
语种：English
出版社：Elsevier
摘要：AbstractDue to ever-challenging global market conditions, plant economic optimization is becoming more critical. Recent advances have transformed the traditional steady-state real-time optimization (RTO) system of plant economic optimization to dynamic real-time optimization (DRTO) based on a dynamic prediction model. DRTO strategies that have been proposed perform economic optimization in an open-loop fashion without taking into account the presence of the plant control system. In this work, we propose a bilevel programming formulation for DRTO that includes effects of the closed-loop dynamics of an underlying constrained model predictive controller (MPC). The bilevel program is subsequently reformulated and solved as a single-level mathematical program with complementarity constraints (MPCC). We investigate the economics and control performance of the proposed strategy under varying MPC controller design parameters, and compare them to open-loop DRTO and rigorous multilevel closed-loop DRTO approaches.
关键词：Keywordsreal-time optimizationeconomic optimizationmodel predictive controlcomplementarity constraintsback-off mechanism