Integrated scheduling and RTO of RGP with MPC and PI controllers
This study proposes an integrated framework of scheduling and Real-Time Optimization (RTO) of a Refrigerated Gas Plant (RGP). At the top layer, a high fidelity dynamic model of RGP is subjected to scheduling of plant operating mode from natural gas liquids to sales gas and vice-versa. Set points fro...
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| Main Authors: | , |
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| Format: | Citation Index Journal |
| Published: |
2009
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| Subjects: | |
| Online Access: | http://eprints.utp.edu.my/1733/1/paper.pdf http://eprints.utp.edu.my/1733/2/Integrated_Scheduling_and_RTO_of_RGP_with_MPC_and_PI_Controllers.pdf http://scialert.net/fulltext/?doi=jas.2009.3027.3033&org=11 http://eprints.utp.edu.my/1733/ |
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| Summary: | This study proposes an integrated framework of scheduling and Real-Time Optimization (RTO) of a Refrigerated Gas Plant (RGP). At the top layer, a high fidelity dynamic model of RGP is subjected to scheduling of plant operating mode from natural gas liquids to sales gas and vice-versa. Set points from mode scheduling are passed down to the steady-state RTO layer. Modeling mismatch is minimized by rigorously exchanging values of key variables between dynamic and steady-state models. Optimal trajectories of set points are obtained using sequential quadratic programming algorithm with constraints. These trajectories are disjointedly implemented by Model Predictive Control (MPC) scheme and Proportional-Integral (PI) controllers for comparison. Four case studies for each mode scheduling are performed to illustrate efficacy of the proposed approach.
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