DocumentCode
1633410
Title
Demand dynamics aggregation using hybrid systems
Author
Wei Zhang ; Chao Xu ; Chin-Yao Chang
Author_Institution
Dept. of Electr. & Comput. Eng., Ohio State Univ., Columbus, OH, USA
fYear
2012
Firstpage
1475
Lastpage
1481
Abstract
Modeling the dynamical behavior of a large population of responsive loads is especially important to evaluate the effectiveness of various demand response programs. Existing works on aggregated load modeling mainly focus on Thermostatically Controlled Loads (TCLs) described by first-order linear ordinary differential equations. In this paper, we propose a unified hybrid system model with general nonlinear subsystem dynamics to describe individual load dynamics. Such a model can be used to represent both TCLs and deferrable loads such as washers, dryers and plug-in hybrid electric vehicles (PHEVs). An aggregate model is also developed based on the proposed hybrid system load model. Realistic simulations show that the aggregate model can accurately capture the collective dynamics for TCLs and deferrable loads. The results presented in this paper can be used as a general aggregate load modeling framework for the analysis and design of various demand response strategies.
Keywords
demand side management; differential equations; domestic appliances; hybrid electric vehicles; laundering; PHEV; TCL; aggregated load modeling; collective dynamics; demand dynamics aggregation; demand response program; demand response strategy; dryers; dynamical behavior modeling; first-order linear ordinary differential equation; general nonlinear subsystem dynamics; load dynamics; plug-in hybrid electric vehicle; responsive load; thermostatically controlled load; unified hybrid system model; washers; Aggregates; Boundary conditions; Density functional theory; Load modeling; Mathematical model; Switches; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Communication, Control, and Computing (Allerton), 2012 50th Annual Allerton Conference on
Conference_Location
Monticello, IL
Print_ISBN
978-1-4673-4537-8
Type
conf
DOI
10.1109/Allerton.2012.6483393
Filename
6483393
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