• DocumentCode
    1711752
  • Title

    An Advanced Alarm Processor using Two-level Processing Structure

  • Author

    Wu, Y. ; Kezunovic, M. ; Kostic, T.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Texas A&M Univ., College Station, TX
  • fYear
    2007
  • Firstpage
    125
  • Lastpage
    130
  • Abstract
    With the growth of system complexity, dispatchers are often overwhelmed with system alarms. This situation requires that an alarm processor be developed to help the dispatchers recognize the nature of the disturbances. Many existing alarm processors lack the ability to analyze complex events efficiently within a time constraint. This paper presents a new processing structure for the alarm processor. The proposed alarm processor is implemented both at the substation automation system (SAS) and the energy management system (EMS) level. The SAS level is able to obtain more accurate analysis of substation-wide events using extra substation measurement data that are not available at the EMS level. The EMS level correlates events from different substations to generate system-wide scenarios. Test results show the effectiveness and correctness of the proposed alarm processor.
  • Keywords
    energy management systems; substation automation; advanced alarm processor; energy management system level; substation automation system; two-level processing structure; Company reports; Energy management; Information analysis; Knowledge based systems; Medical services; Power system analysis computing; Power system modeling; Power system transients; Substation automation; Synthetic aperture sonar; alternative transient program; energy management systems; intelligent alarm processing; substation automation systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Tech, 2007 IEEE Lausanne
  • Conference_Location
    Lausanne
  • Print_ISBN
    978-1-4244-2189-3
  • Electronic_ISBN
    978-1-4244-2190-9
  • Type

    conf

  • DOI
    10.1109/PCT.2007.4538304
  • Filename
    4538304