• DocumentCode
    3597307
  • Title

    Outage Management Systems Real-Time Dashboard Assessment Study

  • Author

    Nielsen, Terrance D.

  • Author_Institution
    SPL WorldGroup, Maple Grove, MN
  • fYear
    2007
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    Electric distribution companies are faced with increased pressure from customers, the media and regulators to provide accurate outage information that is very timely and essentially in real-time. Distribution owners/operators turn to new technology in the form of Dashboards, Business Intelligence and Outage Management Systems (OMS) to help address these demands. Under ever increasing pressure to improve reliability of electric supply, operations needs to perform restoration faster and more efficiently, driving internal demands for the detailed restoration information to be available in real-time as well. The needs of these internal operational users are typically even more detailed and complex. In addition, regulators are providing financial incentives or penalties based upon reliability goals or Key Performance Indicators (KPI)s. Management is demanding that accurate calculation of progress towards meeting these goals be provided daily or weekly rather than monthly or quarterly. This presentation covers the results of a study into the needs of existing outage management systems users and what they need in a real-time dashboard to meet these new business challenges.
  • Keywords
    power distribution; power system restoration; key performance indicators; outage management systems; real-time dashboard assessment study; Automatic meter reading; Companies; Engines; Feedback; Power system reliability; Power system restoration; Real time systems; Regulators; Technology management; Topology; Computer Applications; Modeling; Power Distribution; Power System Restoration; Real Time Systems; Reliability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Society General Meeting, 2007. IEEE
  • ISSN
    1932-5517
  • Print_ISBN
    1-4244-1296-X
  • Electronic_ISBN
    1932-5517
  • Type

    conf

  • DOI
    10.1109/PES.2007.385707
  • Filename
    4275473