Multi-Objective Collaborative Optimization of Distillation Column Group Based on System Identification
نویسندگان
چکیده
In this paper, a multi-objective collaborative optimization (MOCO) strategy is proposed for making decisions on distillation column group. Firstly, based data preprocessing, the operating modes of tower group are determined by use fuzzy C-means clustering method. Secondly, concept variable, discrete state-space model main towers constructed subspace identification Then, MOCO designed ethylene plant. Finally, NSGA-III used to solve problem. An analysis Pareto-optimal frontier and population carried out. To illustrate superiority strategy, results compared with historical appealing operation area finally obtained.
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ژورنال
عنوان ژورنال: Processes
سال: 2023
ISSN: ['2227-9717']
DOI: https://doi.org/10.3390/pr11020436