An online dynamic security assessment scheme using phasor measurements and decision trees

Kai Sun, Siddharth Likhate, Vijay Vittal, V. Sharma Kolluri, Sujit Mandal

Research output: Contribution to journalArticle

231 Scopus citations

Abstract

This paper describes an online dynamic security assessment scheme for large-scale interconnected power systems using phasor measurements and decision trees. The scheme builds and periodically updates decision trees offline to decide critical attributes as security indicators. Decision trees provide online security assessment and preventive control guidelines based on real-time measurements of the indicators from phasor measurement units. The scheme uses a new classification method involving each whole path of a decision tree instead of only classification results at terminal nodes to provide more reliable security assessment results for changes in system conditions. The approaches developed are tested on a 2100-bus, 2600-line, 240-generator operational model of the Entergy system. The test results demonstrate that the proposed scheme is able to identify key security indicators and give reliable and accurate online dynamic security predictions.

Original languageEnglish (US)
Pages (from-to)1935-1943
Number of pages9
JournalIEEE Transactions on Power Systems
Volume22
Issue number4
DOIs
StatePublished - Nov 1 2007

Keywords

  • Decision trees
  • Dynamic programming
  • Online dynamic security assessment
  • Phasor measurements
  • Power system transient stability
  • Preventive control
  • Preventive maintenance
  • Transient stability

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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