DocumentCode :
3735510
Title :
Power saving strategy in advanced metering infrastructure for high-density residential community
Author :
Qi Wang;Anteneh A. Gebremariam;Ra?l Palacios-Trujillo;Fabrizio Granelli
Author_Institution :
Department of Information Engineering and Computer Science, University of Trento, Via Sommarive, 5 I-38123 Povo, Italy
fYear :
2015
Firstpage :
201
Lastpage :
206
Abstract :
Data interaction between power consumers and utilities is one of the distinctive features of smart grid. The smart meter plays a core role in data collection and transmission process, which is also considered as one of the most power consuming devices in the whole architecture of distribution power grid. With the large-scale distribution of smart meters in high-density residential communities and increasing data transmission, power saving of smart meter has recently become an attractive research topic in both academia and industry. In this paper, we propose a novel time sequence scheduling based power saving mechanism for controlling the data transmission between smart meters and a sub-data center located in the secondary substation in distribution grid, via establishing two-mode switch target zones in the local smart grid community. We also explore the relationship between the efficiency of power saving based on the new strategy and the number of divided target zones. Simulation results show high performance gian of 50% power saving rate on average, and applicability of the proposed strategy for data transmission in the smart grid when compared to the conventional power management scheme.
Keywords :
"Smart meters","Smart grids","Power demand","Computer architecture","Substations","Switches","Computational modeling"
Publisher :
ieee
Conference_Titel :
Computer Aided Modelling and Design of Communication Links and Networks (CAMAD), 2015 IEEE 20th International Workshop on
Type :
conf
DOI :
10.1109/CAMAD.2015.7390509
Filename :
7390509
Link To Document :
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