Abstract

Controlled islanding refers to the controlled separation of an interconnected power system into electrically isolated regions. The objective of this paper is to develop adaptive controlled islanding as a component of an emergency power system control strategy. There are two primary aspects of controlled islanding: 1) where to island and 2) when to island? Assisted by a decision tree (DT) approach, this paper seeks to address the "when to island" aspect. A decision tree based tool is proposed to recognize conditions existing in the system that warrant controlled islanding. A 29-generator, 179-bus system is employed to demonstrate the tool. Simulation data are used to train DTs, and the online performance of DTs is then evaluated as part of a controlled islanding strategy.

Original languageEnglish (US)
Pages (from-to)1790-1797
Number of pages8
JournalIEEE Transactions on Power Systems
Volume21
Issue number4
DOIs
StatePublished - Nov 1 2006

Keywords

  • Controlled islanding
  • Decision tree
  • Machine learning
  • Power system stability
  • R-Rdot relay
  • Self healing
  • Special protection systems

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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