• DocumentCode
    1181165
  • Title

    Self-Healing in Power Systems: An Approach Using Islanding and Rate of Frequency Decline Based Load Shedding

  • Author

    You, Haidong ; Vittal, Vijay ; Yang, Zengli

  • Author_Institution
    Iowa State University; GE Power Systems Control
  • Volume
    22
  • Issue
    12
  • fYear
    2002
  • Firstpage
    62
  • Lastpage
    62
  • Abstract
    This paper provides a self-healing strategy to deal with catastrophic events when power system vulnerability analysis indicates that the system is approaching an extreme emergency state. The system is adaptively divided into smaller islands with consideration of quick restoration. Then an adaptive load shedding scheme based on the rate of frequency decline is applied. The proposed scheme is tested on a 179-bus, 20-generator sample system and shows very good performance.
  • Keywords
    Frequency; Hybrid power systems; Power system control; Power system faults; Power system planning; Power system restoration; Power system simulation; Power systems; Power transformers; Testing; Slow coherency based grouping; islanding; load shedding; self-healing;
  • fLanguage
    English
  • Journal_Title
    Power Engineering Review, IEEE
  • Publisher
    ieee
  • ISSN
    0272-1724
  • Type

    jour

  • DOI
    10.1109/MPER.2002.4311916
  • Filename
    4311916