DocumentCode :
1641107
Title :
Improving utility operational excellence through non-operational data management
Author :
Shetty, Ram ; Fan, Jiyuan ; McDonald, John D.
Author_Institution :
GE Digital Energy, Atlanta, GA, USA
fYear :
2012
Firstpage :
1
Lastpage :
6
Abstract :
Electric Utilities have huge potential to utilize non-operational data already available in their grid management systems to improve their Operational Excellence. Further, as they deploy Smart Grid technologies the availability of non-operational data will increase tremendously. In this paper we introduce a system architecture for implementing an enterprise-level Decision Support System that utilizes non-operational data. We also propose a process for utilities, working cross-functionally, to design and acquire such a Decision Support System. We also list some of the benefits from the non-operational data management and the associated challenges that a utility may face in implementing the system.
Keywords :
decision support systems; power system management; power utilisation; smart power grids; electric utility operational excellence; enterprise-level decision support system; nonoperational data management; smart grid management system; Business; Computer architecture; Frequency division multiplexing; Monitoring; Power quality; Real time systems; Substations; Analytics; Diagnosis; Electric Utilities; Fault Analysis; Non-operational data; Operational Data; PQ Analysis; Prognostics; SCADA Systems; Substation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovative Smart Grid Technologies (ISGT), 2012 IEEE PES
Conference_Location :
Washington, DC
Print_ISBN :
978-1-4577-2158-8
Type :
conf
DOI :
10.1109/ISGT.2012.6175623
Filename :
6175623
Link To Document :
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