DocumentCode :
3094587
Title :
Intelligent migration from smart metering to smart grid
Author :
Arian, Mehdi ; Ameli, Mohammad ; Soleimani, Vahid ; Ghazalizadeh, Shiva
Author_Institution :
Smart Metering Dept., Sherkate Kontorsazi Iran (SKI Co.), Tehran, Iran
Volume :
2
fYear :
2011
fDate :
8-9 Sept. 2011
Firstpage :
547
Lastpage :
552
Abstract :
With the growing demand for more energy from the subscribers, and given the issues associated with ecological systems, it is inevitable and indispensable to move toward an efficient, economical, green, clean and self-correcting power system. Implementing this system is a challenge for the managers to tackle. It is a long time that smart metering system have been used by utility companies and implemented in quite a few numbers of them. Necessity for developing from smart metering to smart gird and utilizing it for consumption management, black-out management, demand response, distributed energy resources, Grid optimization, Load management, technical loss, theft detection, quality of service, utilizing the maximum capacity of power line, balancing the distribution network, freeing the distribution network and a great number of other advantages are inevitable. In this paper we have studied how to move toward smartening up the grid.
Keywords :
distribution networks; power system management; power system measurement; quality of service; smart power grids; black-out management; consumption management; demand response; distributed energy resources; distribution network; ecological systems; grid optimization; intelligent migration; load management; power line capacity; quality of service; self-correcting power system; smart grid; smart metering; technical loss; theft detection; Electricity; Load management; Real time systems; Road transportation; Servers; Smart grids; Software; Advanced Metering Infrastructure; Central Access Server; Communication; Highway Software; Smart Grid;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Engineering and Automation Conference (PEAM), 2011 IEEE
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-9691-4
Type :
conf
DOI :
10.1109/PEAM.2011.6134995
Filename :
6134995
Link To Document :
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