Yusoff, Nooryusmiza and Ramasamy , Marappagounder (2009) Integrated scheduling and RTO of RGP with MPC and PI controllers. [Citation Index Journal]
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Abstract
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.
Item Type: | Citation Index Journal |
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Uncontrolled Keywords: | Gas plant; Model predictive control; Real-time optimization; Scheduling |
Subjects: | T Technology > TP Chemical technology |
Departments / MOR / COE: | Departments > Chemical Engineering |
Depositing User: | Dr. Nooryusmiza Yusoff |
Date Deposited: | 27 Apr 2010 07:20 |
Last Modified: | 19 Jan 2017 08:25 |
URI: | http://scholars.utp.edu.my/id/eprint/1733 |