• DocumentCode
    648168
  • Title

    Alleviating contingency violations through visual analytics and suggested actions

  • Author

    Rice, Matthew ; Zhenyu Huang ; Yousu Chen ; Allwardt, Craig ; Mackey, Patrick

  • Author_Institution
    Adv. Power & Energy Syst., Pacific Northwest Nat. Lab., Richland, WA, USA
  • fYear
    2013
  • fDate
    21-25 July 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Contingency analysis (CA) is essential in maintaining a stable and secure power grid. Operating standards require that contingency violations are alleviated within 30 minutes. In today´s practice, operators normally make decisions based on the information they have with limited support. This paper presents a new feature of suggested actions integrated in the graphical contingency analysis (GCA) tool, developed by the authors to help the operator´s decision making process. This paper provides a few examples on showing how the decision support element of the GCA tool is further enhanced by this new feature to alleviate contingency violations for better grid reliability.
  • Keywords
    data analysis; data visualisation; decision making; power grids; power system planning; power system reliability; power system security; decision making; decision support element; graphical contingency analysis; grid reliability; power grid; time 30 min; visual analytics; Generators; Laboratories; Mathematical model; Reliability; Sensitivity; Standards; Training; Contingency Analysis; Decision Support; Operator Actions; Situational Awareness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting (PES), 2013 IEEE
  • Conference_Location
    Vancouver, BC
  • ISSN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PESMG.2013.6672738
  • Filename
    6672738