DocumentCode :
475061
Title :
A roadmap for developing real time distribution system simulation tools for the smart grid
Author :
Mamo, X. ; McGranaghan, M. ; Dugan, Roger ; Maire, Joseph ; Devaux, O.
fYear :
2008
fDate :
23-24 June 2008
Firstpage :
1
Lastpage :
7
Abstract :
Development of distributed generation, energy efficiency and demand-side management measures, economical and technical constraints to meet the performance targets fixed by the regulatory bodies are just some of the new challenges facing distribution system operators in the smart grid development context. Simulation capabilities are playing a major role in the distribution business improvements needed to meet these new objectives. For instance, simulation is providing support to develop the functionalities associated with the self-healing grid concept. This article describes a roadmap for fast simulation and modeling tools applied to distribution systems. A survey of key industry experts was conducted to identify the main drivers for improving simulation and modelling functionalities and to determine the most likely path that evolution will take. The results of this roadmap are intended to provide a high level view of the functionalities that will be needed in the next 10 years to enable smart grid operation. These functions will be enabled by developments in various technical areas, providing solid foundations to build on. This roadmap identifies technological gaps and new software/hardware solution needs, It is focused on the future developments in these areas.
Keywords :
demand side management; distributed power generation; energy conservation; power distribution economics; power grids; power system simulation; demand-side management; distributed generation; economic-technical constraints; energy efficiency; real time distribution system simulation tool; self-healing grid; smart power grid operation;
fLanguage :
English
Publisher :
iet
Conference_Titel :
SmartGrids for Distribution, 2008. IET-CIRED. CIRED Seminar
Conference_Location :
Frankfurt
ISSN :
0537-9989
Print_ISBN :
978-0-86341-935-5
Type :
conf
Filename :
4591808
Link To Document :
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