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
Link To Document :
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