• DocumentCode
    2849231
  • Title

    Modeling and control insights into demand-side energy management through setpoint control of thermostatic loads

  • Author

    Bashash, S. ; Fathy, H.K.

  • Author_Institution
    Dept. of Mech. Eng., Univ. of Michigan, Ann Arbor, MI, USA
  • fYear
    2011
  • fDate
    June 29 2011-July 1 2011
  • Firstpage
    4546
  • Lastpage
    4553
  • Abstract
    This paper examines the problem of using thermostat offset signals to directly control distributed air conditioning loads attached to the grid. The paper models these loads using a novel partial differential equation framework that builds on existing diffusion- based load modeling ideas in the literature. Both this PDE model and its finite-difference discretizations are bilinear in the state and control variables. This key insight creates a unique opportunity for designing nonlinear direct load control algorithms with theoretically guaranteed Lyapunov stability properties. The paper´s main contribution to the literature is the development of the bilinear PDE model and Lyapunov- stable controller for real-time management of thermostatic air conditioning loads.
  • Keywords
    air conditioning; bilinear systems; control system synthesis; demand side management; distributed control; energy management systems; finite difference methods; load regulation; nonlinear control systems; partial differential equations; power grids; stability; thermostats; Lyapunov-stable controller; bilinear PDE model; bilinear state control variable; demand-side energy management; diffusion-based load modeling; directly control distributed air conditioning load; finite-difference discretization; nonlinear direct load control algorithm; partial differential equation framework; power grid; setpoint control; thermostat offset signal; thermostatic air conditioning load; Aggregates; Air conditioning; Atmospheric modeling; Equations; Load modeling; Mathematical model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2011
  • Conference_Location
    San Francisco, CA
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4577-0080-4
  • Type

    conf

  • DOI
    10.1109/ACC.2011.5990939
  • Filename
    5990939