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This content will become publicly available on November 3, 2018

Title: Optimal scheduling and its Lyapunov stability for advanced load-following energy plants with CO 2 capture

In this study, a two-level control methodology consisting of an upper-level scheduler and a lower-level supervisory controller is proposed for an advanced load-following energy plant with CO 2 capture. With the use of an economic objective function that considers fluctuation in electricity demand and price at the upper level, optimal scheduling of energy plant electricity production and carbon capture with respect to several carbon tax scenarios is implemented. The optimal operational profiles are then passed down to corresponding lower-level supervisory controllers designed using a methodological approach that balances control complexity with performance. Finally, it is shown how optimal carbon capture and electricity production rate profiles for an energy plant such as the integrated gasification combined cycle (IGCC) plant are affected by electricity demand and price fluctuations under different carbon tax scenarios. As a result, the paper also presents a Lyapunov stability analysis of the proposed scheme.
Authors:
 [1] ;  [2] ;  [1] ;  [1] ;  [3]
  1. West Virginia Univ., Morgantown, WV (United States)
  2. Schneider Electric, Foxboro, MA (United States)
  3. West Virginia Univ., Morgantown, WV (United States); National Energy Technology Lab. (NETL), Morgantown, WV (United States)
Publication Date:
Report Number(s):
NETL-PUB-21304
Journal ID: ISSN 0098-1354
Type:
Accepted Manuscript
Journal Name:
Computers and Chemical Engineering
Additional Journal Information:
Journal Volume: 109; Journal Issue: C; Journal ID: ISSN 0098-1354
Publisher:
Elsevier
Research Org:
National Energy Technology Lab. (NETL), Pittsburgh, PA, and Morgantown, WV (United States)
Sponsoring Org:
USDOE Office of Fossil Energy (FE)
Country of Publication:
United States
Language:
English
Subject:
01 COAL, LIGNITE, AND PEAT; 20 FOSSIL-FUELED POWER PLANTS; 42 ENGINEERING; 54 ENVIRONMENTAL SCIENCES; 97 MATHEMATICS AND COMPUTING; CO2 Capture; Scheduling; Load-Following; Cycling; Optimization; IGCC; Control; Dispatch
OSTI Identifier:
1407112