• ISSN 0258-2724
  • CN 51-1277/U
  • EI Compendex
  • Scopus
  • Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
  • Chinese S&T Journal Citation Reports
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Volume 21 Issue 5
Oct.  2008
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Article Contents
YE Shengyong, WANG Xiaoru, LIU Zhigang, QIAN Qingquan. Transient Stability Assessment Based on Random Forest Algorithm[J]. Journal of Southwest Jiaotong University, 2008, 21(5): 573-577.
Citation: YE Shengyong, WANG Xiaoru, LIU Zhigang, QIAN Qingquan. Transient Stability Assessment Based on Random Forest Algorithm[J]. Journal of Southwest Jiaotong University, 2008, 21(5): 573-577.

Transient Stability Assessment Based on Random Forest Algorithm

  • Received Date: 09 Jan 2007
  • Publish Date: 25 Oct 2008
  • A model for the power system transient stability assessment based on random forest algorithm was presented.This model combines decision trees which depend on the values of a random vector sampled independently and with the same distribution.Simulation results on the IEEE 16-generator and IEEE 50-generator test systems show the validity of the proposed method.Its assessment performance is better than decision tree,artificial neural networks,support vector machine and K nearest neighbor.

     

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