DocumentCode
1384859
Title
A System Architecture for Autonomous Demand Side Load Management in Smart Buildings
Author
Costanzo, Giuseppe Tommaso ; Zhu, Guchuan ; Anjos, Miguel F. ; Savard, Gilles
Author_Institution
Electr. Eng., Intell. Energy Syst., DTU-Tech. Univ. of Denmark, Roskilde, Denmark
Volume
3
Issue
4
fYear
2012
Firstpage
2157
Lastpage
2165
Abstract
This paper presents a system architecture for load management in smart buildings which enables autonomous demand side load management in the smart grid. Being of a layered structure composed of three main modules for admission control, load balancing, and demand response management, this architecture can encapsulate the system functionality, assure the interoperability between various components, allow the integration of different energy sources, and ease maintenance and upgrading. Hence it is capable of handling autonomous energy consumption management for systems with heterogeneous dynamics in multiple time-scales and allows seamless integration of diverse techniques for online operation control, optimal scheduling, and dynamic pricing. The design of a home energy manager based on this architecture is illustrated and the simulation results with Matlab/Simulink confirm the viability and efficiency of the proposed framework.
Keywords
buildings (structures); demand side management; optimal control; pricing; scheduling; smart power grids; Matlab-Simulink; admission control; autonomous demand side load management; autonomous energy consumption management; demand response management; dynamic pricing; home energy manager; load balancing; online operation control; optimal load control; optimal scheduling; smart buildings; smart grid; system architecture; Admission control; Architecture; Home appliances; Load management; Load modeling; Power demand; Pricing; Autonomous demand side management; optimal load control; real-time scheduling; smart buildings; smart grid;
fLanguage
English
Journal_Title
Smart Grid, IEEE Transactions on
Publisher
ieee
ISSN
1949-3053
Type
jour
DOI
10.1109/TSG.2012.2217358
Filename
6376273
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