DocumentCode :
705604
Title :
A Survey of Home Energy Management for Residential Customers
Author :
Ullah, Ihsan ; Javaid, Nadeem ; Imran, Muhammad ; Ali Khan, Zahoor ; Qasim, Umar ; Alnuem, Mohammed ; Bashir, Mudassar
Author_Institution :
Univ. of Eng. & Technol., Peshawar, Pakistan
fYear :
2015
fDate :
24-27 March 2015
Firstpage :
666
Lastpage :
673
Abstract :
The state of the art of old-age grids into smart grids provides residents the opportunity to schedule their appliances to consume the energy optimally that leads to potentially balance the demand side as well as the supply side more effectively and minimizes the power Peak-to-Average Ratio (PAR), which ultimately provides benefit to the residents in the form of reduction cost and expense. The Energy Management System (EMS) in the home receives the market and system signals and controls the loads, Heating, Ventilation and Air Conditioning systems (HVAC), storages and local generation units according to the user preferences. This survey encompasses novel home energy management techniques including different shift able and non-shift able load scheduling methods and peak shaving strategies. Several Pricing strategies have been suggested for smart grid such as, Real-Time Pricing (RTP), Time of Use (ToU), Inclining Block Rates (IBR), Critical Peak Pricing (CPP), etc. Moreover, this paper discusses the HEM architecture and reveals that the different energy management techniques intelligently schedule the appliances in order to satisfy the maximum resident´s comfort level and consume the energy optimally.
Keywords :
HVAC; demand side management; smart power grids; HVAC; critical peak pricing; demand side; different shift able load scheduling; energy management system; heating, ventilation and air conditioning systems; home energy management; inclining block rates; non-shift able load scheduling; old-age grids; peak shaving strategies; power peak-to-average ratio; pricing strategies; real-time pricing; residential customers; smart grids; supply side; time of use; Conferences; Energy management; optimization techniques; real-time pricing; scheduling; smart grid;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Information Networking and Applications (AINA), 2015 IEEE 29th International Conference on
Conference_Location :
Gwangiu
ISSN :
1550-445X
Print_ISBN :
978-1-4799-7904-2
Type :
conf
DOI :
10.1109/AINA.2015.251
Filename :
7098036
Link To Document :
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