• DocumentCode
    24609
  • Title

    Modeling and Control of Aggregate Air Conditioning Loads for Robust Renewable Power Management

  • Author

    Bashash, Saeid ; Fathy, Hosam K.

  • Author_Institution
    Dept. of Mech. & Nucl. Eng., Pennsylvania State Univ., University Park, PA, USA
  • Volume
    21
  • Issue
    4
  • fYear
    2013
  • fDate
    Jul-13
  • Firstpage
    1318
  • Lastpage
    1327
  • Abstract
    This paper examines the problem of demand-side energy management in smart power grids through the setpoint control of aggregate thermostatic loads. This paper models these loads using a novel partial differential equation framework that builds on existing diffusion- and transport-based load modeling ideas in the literature. Both this partial differential equation (PDE) model and its finite-difference approximations are bilinear in the state and control variables. This key insight creates a unique opportunity for designing nonlinear load control algorithms with theoretically guaranteed Lyapunov stability properties. This paper´s main contribution to the literature is the development of the bilinear PDE model and a sliding mode controller for the real-time management of thermostatic air conditioning loads. The proposed control scheme shows promising performance in adapting aggregate air conditioning loads to intermittent wind power.
  • Keywords
    Lyapunov methods; air conditioning; control system synthesis; demand side management; finite difference methods; load regulation; nonlinear control systems; partial differential equations; smart power grids; variable structure systems; Lyapunov stability properties; aggregate air conditioning loads control; aggregate air conditioning loads modeling; aggregate thermostatic loads; bilinear PDE model; control variables; demand-side energy management problem; diffusion-based load modeling; finite-difference approximations; intermittent wind power; nonlinear load control algorithms; partial differential equation framework; partial differential equation model; real-time management; robust renewable power management; set-point control; sliding mode controller; smart power grids; state variables; thermostatic air conditioning loads; transport-based load modeling; Aggregates; Air conditioning; Atmospheric modeling; Equations; Load modeling; Mathematical model; Monte Carlo methods; Demand response; sliding mode control (SMC); smart grid; thermostatically controlled loads (TCLs);
  • fLanguage
    English
  • Journal_Title
    Control Systems Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1063-6536
  • Type

    jour

  • DOI
    10.1109/TCST.2012.2204261
  • Filename
    6239581