DocumentCode :
1715968
Title :
Domestic energy management methodology for optimizing efficiency in Smart Grids
Author :
Molderink, Albert ; Bakker, Vincent ; Bosman, Maurice G C ; Hurink, Johann L. ; Smit, Gerard J M
Author_Institution :
Dept. of Comput. Sci., Math. & Electr. Eng., Univ. of Twente, Enschede, Netherlands
fYear :
2009
Firstpage :
1
Lastpage :
7
Abstract :
Increasing energy prices and the greenhouse effect lead to more awareness of energy efficiency of electricity supply. During the last years, a lot of domestic technologies have been developed to improve this efficiency. These technologies on their own already improve the efficiency, but more can be gained by a combined management. Multiple optimization objectives can be used to improve the efficiency, from peak shaving and virtual power plant (VPP) to adapting to fluctuating generation of wind turbines. In this paper a generic management methodology is proposed applicable for most domestic technologies, scenarios and optimization objectives. Both local scale optimization objectives (a single house) and global scale optimization objectives (multiple houses) can be used. Simulations of different scenarios show that both local and global objectives can be reached.
Keywords :
air pollution; energy conservation; energy management systems; optimisation; power grids; power system management; pricing; wind power plants; wind turbines; domestic energy management methodology; electricity supply; energy efficiency; energy prices; greenhouse effect; multiple optimization objectives; smart grids; virtual power plant; wind turbines; Distributed power generation; Energy efficiency; Energy management; Home appliances; Load management; Optimization methods; Power generation; Smart grids; Technology management; Wind energy generation; Demand Side Management; Distributed Generation; Energy; Micro-generation; Smart Grid;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
PowerTech, 2009 IEEE Bucharest
Conference_Location :
Bucharest
Print_ISBN :
978-1-4244-2234-0
Electronic_ISBN :
978-1-4244-2235-7
Type :
conf
DOI :
10.1109/PTC.2009.5281849
Filename :
5281849
Link To Document :
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