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