• DocumentCode
    2914056
  • Title

    Application of infinite-horizon EMPC to IGCC dispatch

  • Author

    Omell, Benjamin P. ; Chmielewski, Daniel J.

  • Author_Institution
    Dept. of Chem. & Biol. Eng., Illinois Inst. of Technol., Chicago, IL, USA
  • fYear
    2013
  • fDate
    17-19 June 2013
  • Firstpage
    5338
  • Lastpage
    5343
  • Abstract
    The Integrated Gasification Combined Cycle (IGCC) possesses a number of benefits over traditional power generation plants, ranging from increased efficiency to flex-fuel and carbon capture opportunities. A lesser known benefit of the IGCC configuration is the ability to load track electricity demands. The idea being that process modifications will allow for a time-shift of power production away from periods of low energy value to periods of high value. This work illustrates the use of Economic Model Predictive Control (EMPC) as a vehicle to exploit dispatch capabilities by direct maximization of revenue. However, implementation of EMPC can result in unexpected and at times pathological closed-loop behavior, including inventory creep and bang-bang actuation. To address these issues, an infinite-horizon version of EMPC is developed and shown avoid many of the performance issues observed in the finite-horizon version.
  • Keywords
    bang-bang control; closed loop systems; combined cycle power stations; infinite horizon; power generation control; power generation dispatch; power system economics; predictive control; IGCC dispatch; bang-bang actuation; carbon capture opportunities; dispatch capabilities; economic model predictive control; finite-horizon version; flex-fuel; infinite-horizon EMPC; integrated gasification combined cycle; inventory creep; pathological closed-loop behavior; power generation plants; power production; process modifications; revenue maximization; time-shift; track electricity demands; Creep; Economics; Electricity; Hydrogen; Linear programming; Optimization; White noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2013
  • Conference_Location
    Washington, DC
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4799-0177-7
  • Type

    conf

  • DOI
    10.1109/ACC.2013.6580671
  • Filename
    6580671