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
         
        
        
        
        
            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;
         
        
        
        
            Conference_Titel : 
Innovative Smart Grid Technologies (ISGT), 2012 IEEE PES
         
        
            Conference_Location : 
Washington, DC
         
        
            Print_ISBN : 
978-1-4577-2158-8
         
        
        
            DOI : 
10.1109/ISGT.2012.6175623