DocumentCode :
2353018
Title :
Impacts of smart grid data on parallel path and contingency analysis efforts
Author :
Kavicky, James A.
Author_Institution :
Argonne Nat. Lab., Argonne, IL, USA
fYear :
2010
fDate :
25-29 July 2010
Firstpage :
1
Lastpage :
3
Abstract :
Although a desirable attribute, not all operations models currently make use of real-time data for various reasons. To say the least, the regional scope and comprehensiveness that current data encompasses may be considered limited and incomplete. However, as computational, communication, security, and instrumentation technologies advance, smart grid technology demonstrates the potential to radically change network monitoring and data collection capabilities and advance simulation methods beyond that achievable given the current institutional environment. Because smart grid has the potential to conduct data collection in real time and to improve modeling and simulation results, potential data overload, validation, security, access, and other challenges are leading to new design opportunities. Similarly, we can expect significant impacts on system operation procedures and increased use of enhanced automation applications in operations decision making.
Keywords :
decision making; smart power grids; contingency analysis; data collection; decision making; smart grid data technology; Data management; interconnected power systems; power system monitoring; power system planning; power system reliability; power system security;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Society General Meeting, 2010 IEEE
Conference_Location :
Minneapolis, MN
ISSN :
1944-9925
Print_ISBN :
978-1-4244-6549-1
Electronic_ISBN :
1944-9925
Type :
conf
DOI :
10.1109/PES.2010.5588144
Filename :
5588144
Link To Document :
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