Voltage Instability Analysis Based on Adaptive Neuro-Fuzzy Inference System and Probabilistic Neural Network

This paper presents the application of  Adaptive Neuro-Fuzzy Inference System (ANFIS) and  Probabilistic Neural Network (PNN)  for  voltage instability analysis  in electric power system.  The voltage instability analysis is exec uted in this research by calcul ating the values of voltage instability indices. The voltage instability indices used are voltage stability margin (VSM) and load power margin (LPM). Both VSM and LPM are obtained from the real power-voltage (PV) curve and reactive power-voltage (QV) curve.  ANFIS is used for predicting the values of voltage instability indices. Meanwhile, PNN is used for classifying the voltage instability indices.  The IEEE  14 -bus  test  system has been chosen as the reference electrical power system.  Both  A NFIS and PNN  used in this research  are deployed by  using MATLAB  software .

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