%0 Journal Article
%@ 18125654
%A Yusoff, N.
%A Ramasamy, M.
%D 2009
%F scholars:711
%J Journal of Applied Sciences
%K Integrated frameworks; Integrated scheduling; Natural gas liquids; Optimal trajectories; Proportional integral controllers; Real-time optimization; Sequential quadratic programming algorithm; Steady-state models, Gas plants; Model predictive control; Optimization; Predictive control systems, Scheduling
%N 17
%P 3027-3033
%R 10.3923/jas.2009.3027.3033
%T Integrated scheduling and RTO of RGP with MPC and PI controllers
%U https://khub.utp.edu.my/scholars/711/
%V 9
%X 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.
%Z cited By 0