文章基本信息

标题：Fast Economic Model Predictive Control for a Gas Lifted Well Network ⁎
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作者：Eka Suwartadi ; Dinesh Krishnamoorthy ; Johannes Jäschke 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2018
卷号：51
期号：8
页码：25-30
DOI：10.1016/j.ifacol.2018.06.350
语种：English
出版社：Elsevier
摘要：AbstractThis paper considers the optimal operation of an oil and gas production network by formulating it as an economic nonlinear model predictive control (NMPC) problem. Solving the associated nonlinear program (NLP) can be computationally expensive and time consuming. To avoid a long delay between obtaining updated measurement information and injecting the new inputs in the plant, we apply a sensitivity-based predictor-corrector path-following algorithm in an advanced-step NMPC framework. We demonstrate the proposed method on a gas-lift optimization case study and compare the performance of the path-following economic NMPC to a standard economic NMPC formulation.
关键词：KeywordsSensitivity-based NMPCPath-following algorithmDynamic optimizationProduction optimizationGas-lift optimization