DocumentCode :
637390
Title :
Interactive building load management for smart grid
Author :
Xue Xue ; Wang Shengwei
Author_Institution :
Dept. of Building Services Eng., Hong Kong Polytech. Univ., Hong Kong, China
fYear :
2012
fDate :
18-20 Sept. 2012
Firstpage :
1
Lastpage :
5
Abstract :
Energy issue is a critical problem for sustainable development. Both electrical grid, as the power supply network, and buildings, as major power consumers at demand side, can play important roles with optimal grid management and control. This paper presents an interactive building load management framework between smart grid and commercial buildings, with optimal setting for both supply and demand sides. A simplified building thermal model and kinds of indoor temperature control strategies are employed for estimating load management capability and aggregation load profile of buildings. Building operation cost function and simplified dynamic pricing algorithm are also developed for bidirectional interactions. Load alteration and shifting can be achieved by implementing the interactive load management strategy offering improved overall load factor of the grid.
Keywords :
buildings (structures); demand side management; optimal control; power system control; smart power grids; sustainable development; aggregation load profile; building operation cost function; building thermal model; commercial buildings; demand side; dynamic pricing algorithm; electrical grid; energy issue; indoor temperature control strategies; interactive building load management; load alteration; load factor; load shifting; optimal grid control; optimal grid management; power consumers; power supply network; smart grid; supply side; sustainable development; Buildings; Cooling; Load management; Load modeling; Pricing; Smart grids; Thermal loading; building; demand response; dynamic pricing; load management; operation cost saving; smart grid;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Engineering and Automation Conference (PEAM), 2012 IEEE
Conference_Location :
Wuhan
Print_ISBN :
978-1-4577-1599-0
Type :
conf
DOI :
10.1109/PEAM.2012.6612459
Filename :
6612459
Link To Document :
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