eprintid: 711
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/07/11
datestamp: 2023-11-09 15:48:51
lastmod: 2023-11-09 15:48:51
status_changed: 2023-11-09 15:23:00
type: article
metadata_visibility: show
creators_name: Yusoff, N.
creators_name: Ramasamy, M.
title: Integrated scheduling and RTO of RGP with MPC and PI controllers
ispublished: pub
keywords: 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
note: cited By 0
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.
date: 2009
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-68949216989&doi=10.3923%2fjas.2009.3027.3033&partnerID=40&md5=c92fa81e61914a12403eb2b2c600653b
id_number: 10.3923/jas.2009.3027.3033
full_text_status: none
publication: Journal of Applied Sciences
volume: 9
number: 17
pagerange: 3027-3033
refereed: TRUE
issn: 18125654
citation:   Yusoff, N. and Ramasamy, M.  (2009) Integrated scheduling and RTO of RGP with MPC and PI controllers.  Journal of Applied Sciences, 9 (17).  pp. 3027-3033.  ISSN 18125654