• DocumentCode
    2915560
  • Title

    Control of electric power transmission networks with massive energy storage using economic MPC

  • Author

    Adeodu, Oluwasanmi ; 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
    5839
  • Lastpage
    5844
  • Abstract
    The classic approach to generator dispatch in large scale power generation and distribution systems (under regulated markets) is the Unit Commitment (UC) problem. As renewable power sources (that cannot be dispatched) are added to the network many have advocated the additional introduction of massive energy storage facilities. However, the inherent dynamic nature of energy storage suggests an expanded view of the classic UC operating policy. In this work, the notion of Economic Model Predictive Control (EMPC) is investigated as a generalization of the classic UC policy. Of particular interest is the selection of EMPC prediction horizon size and its impact on storage utilization.
  • Keywords
    energy storage; power generation control; power generation dispatch; power transmission control; predictive control; renewable energy sources; EMPC prediction horizon size; UC operating policy; economic MPC; economic model predictive control; electric power transmission network control; energy storage facility; generator dispatching; power distribution system; power generation system; renewable power source; storage utilization; unit commitment problem; Coal; Correlation; Energy storage; Generators; Load modeling; Wind forecasting; Wind power generation;
  • 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.2013.6580753
  • Filename
    6580753