DocumentCode :
3232817
Title :
A new method for demand response by real-time pricing signals for lighting loads
Author :
Nejad, R. Roofegari ; Tafreshi, S. M. Moghaddas
Author_Institution :
Electr. Eng. Dept., K.N. Toosi Univ. of Technol., Tehran, Iran
fYear :
2012
fDate :
18-20 Sept. 2012
Firstpage :
1
Lastpage :
5
Abstract :
Recently by presenting the smart grid concept, possibility of managing renewable resources uncertainty and distribution generations has been increased. Moreover by infrastructures of smart grid, such as AMI (Advanced Metering Infrastructure), EMS (Energy Management System), and smart controllers, possibility of load management and implementing demand response programs, have been provided. Controllable loads have the opportunity to participate in the real-time operation of transmission and distribution networks and can follow generation variation. Even by these infrastructures, small domestic loads such as lighting loads can be controlled too. A recent research shows that 20%~30% of building energy consumption can be saved or shifted to non-peak periods, with optimized operation and management. One of the high consumed domestic loads is the lighting load. This paper proposed a method for controlling these loads by electrical market real-time prices. These price signals is sent to EMS of a home by AMI, then EMS calculate illumination level of desired lighting loads with proposed method. A minimum and suggested illumination value for various places have been presented in lighting references, which controlling these loads by proposed method has been done in this permitted interval. In order to validate proposed method, a numerical example for lighting loads has been presented, and then the process of controlling these loads by energy price signals has been shown.
Keywords :
distributed power generation; energy management systems; lighting; power markets; smart power grids; AMI; EMS; advanced metering infrastructure; demand response; distribution generations; domestic loads; electrical market real-time prices; energy management system; lighting loads; load management; real-time pricing signals; renewable resources uncertainty; smart controllers; smart grid concept; Buildings; Energy management; Home appliances; Lighting; Microgrids; Pricing; Smart grids; Demand response; Energy management system; Energy price signals; Lighting loads; Smart controller; 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.2012.6612456
Filename :
6612456
Link To Document :
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