Fast transient stability assessment of large power system using probabilistic neural network with feature reduction techniques

Noor Izzri Abdul Wahab, Azah Mohamed, Aini Hussain

Research output: Contribution to journalArticle

16 Citations (Scopus)

Abstract

This paper presents transient stability assessment of a large 87-bus system using a new method called the probabilistic neural network (PNN) with incorporation of feature selection and extraction methods. The investigated power system is divided into smaller areas depending on the coherency of the areas when subjected to disturbances. This is to reduce the amount of data sets collected for the respective areas. Transient stability of the power system is first determined based on the generator relative rotor angles obtained from time domain simulations carried out by considering three phase faults at different loading conditions. The data collected from the time domain simulations are then used as inputs to the PNN. Feature reduction techniques are then incorporated to reduce the number of features to the PNN which is used as a classifier to determine whether the power system is stable or unstable. It can be concluded that the PNN with the incorporation of feature reduction techniques reduces the time taken to train the PNN without affecting the accuracy of the classification results.

Original languageEnglish
Pages (from-to)11112-11119
Number of pages8
JournalExpert Systems with Applications
Volume38
Issue number9
DOIs
Publication statusPublished - Sep 2011
Externally publishedYes

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Neural networks
Feature extraction
Classifiers
Rotors

Keywords

  • Correlation analysis
  • Principle component analysis
  • Probabilistic neural network
  • Transient stability assessment

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Engineering(all)

Cite this

Fast transient stability assessment of large power system using probabilistic neural network with feature reduction techniques. / Wahab, Noor Izzri Abdul; Mohamed, Azah; Hussain, Aini.

In: Expert Systems with Applications, Vol. 38, No. 9, 09.2011, p. 11112-11119.

Research output: Contribution to journalArticle

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