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
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