• 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