Management Science and Financial Engineering

The Korean Operations Research and Management Science Society (한국경영과학회)
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Estimating Basin of Attraction for Multi-Basin Processes Using Support Vector Machine

  • Lee, Dae-Won (School of Industrial Engineering, University of Ulsan) ;
  • Lee, Jae-Wook (Department of Industrial Engineering, Seoul National University)
  • Received : 2012.04.02
  • Accepted : 2012.05.07
  • Published : 2012.05.31
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Abstract

A novel method of transient stability analysis is presented in this paper. The proposed method extracts data points near the basin-of-attraction boundary and then builds a support vector machine (SVM) model learned from the generated data. The constructed SVM classifier has been shown to reduce dramatically the conservativeness of the estimated basin of attraction.

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References

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