Self-healing in power systems: An approach using islanding and rate of frequency decline-based load shedding

Haibo You, Vijay Vittal, Zhong Yang

Research output: Contribution to journalArticle

228 Scopus citations

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. In our approach, the system is adaptively divided into smaller islands with consideration of quick restoration. Then, a 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.

Original languageEnglish (US)
Pages (from-to)174-181
Number of pages8
JournalIEEE Transactions on Power Systems
Volume18
Issue number1
DOIs
StatePublished - Feb 1 2003
Externally publishedYes

Keywords

  • Islanding
  • Load shedding
  • Self-healing
  • Slow-coherency-based grouping

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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