Economic Nonlinear Model Predictive Control for cyclic gas pipeline operation

被引:0
作者
Ghilardi, Lavinia Marina Paola [1 ]
Naik, Sakshi [2 ]
Martelli, Emanuele [1 ]
Casella, Francesco [3 ]
Biegler, Lorenz T. [2 ]
机构
[1] Politecn Milan, Dept Energy, I-20154 Milan, Italy
[2] Carnegie Mellon Univ, Pittsburgh, PA 15213 USA
[3] Politecn Milan, Dipartimento Elettron Informaz & Bioingn, I-20133 Milan, Italy
关键词
Dynamic optimization; Pipeline optimization; Complementarity; Economic Nonlinear Model Predictive Control; Cyclic steady state; OPTIMIZATION; STRATEGIES; STABILITY;
D O I
10.1016/j.compchemeng.2025.109039
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
This study presents an economic Nonlinear Model Predictive Control for optimizing gas pipeline operation. The operation of gas networks is governed by dynamic gas transport equations, compressor performance characteristics, and control valve modeling. Given the daily fluctuations in demand, these systems often do not operate under steady-state conditions. To address this, we propose a controller formulation designed for cyclic steadystate systems, incorporating stabilizing and terminal constraints to ensure asymptotic stability. The application of this approach to real-world, complex branched pipelines involves dealing with non-smoothness and switching conditions, which we tackle through smoothing and complementarity reformulations. The effectiveness of our method is demonstrated in a test network as well as the nationwide Italian gas network, showcasing its practicality for large-scale applications.
引用
收藏
页数:15
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