TY  - JOUR
SP  - 3027
TI  - Integrated scheduling and RTO of RGP with MPC and PI controllers
N1  - cited By 0
AV  - none
EP  - 3033
SN  - 18125654
KW  - Integrated frameworks; Integrated scheduling; Natural gas liquids; Optimal trajectories; Proportional integral controllers; Real-time optimization; Sequential quadratic programming algorithm; Steady-state models
KW  -  Gas plants; Model predictive control; Optimization; Predictive control systems
KW  -  Scheduling
ID  - scholars711
N2  - 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.
IS  - 17
VL  - 9
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-68949216989&doi=10.3923%2fjas.2009.3027.3033&partnerID=40&md5=c92fa81e61914a12403eb2b2c600653b
A1  - Yusoff, N.
A1  - Ramasamy, M.
JF  - Journal of Applied Sciences
Y1  - 2009///
ER  -