Power system reliability evaluation using learning vector quantization and Monte Carlo simulation Academic Article uri icon


  • Artificial Neural Networks (ANN) based on the Learning Vector Quantization (LVQ) algorithm have received considerable attention as pattern classifiers. This paper proposes a new method for power system reliability evaluation combining Monte Carlo simulation and LVQ which greatly reduces the computing burden of the loss of load probability calculation compared to Monte Carlo simulation only. A case study of the IEEE RTS system is presented demonstrating the efficiency of this approach. 2003 Elsevier Science B.V. All rights reserved.

published proceedings


author list (cited authors)

  • Luo, X. C., Singh, C., & Patton, A. D.

citation count

  • 29

complete list of authors

  • Luo, XC||Singh, C||Patton, AD

publication date

  • August 2003