Differential Protection of Generator by Using Neural Network, Fuzzy Neural and Fuzzy Neural Petri Net

This paper deals with the applications of Artificial Intelligence techniques for detecting internalfaults in Power generators. Three techniques are used which are Neural Net (NN), FuzzyNeural Net (FNN) and Fuzzy Neural Petri Net (FNPN) to implement differential protection ofgenerator. MATLAB toolbox has been used for simulations and generation of faults data fortraining the programs for different faults cases and to implement the relays. Results ofdifferent fault cases are presented and these results are compared among the threeimplemented techniques of relays and with the conventional differential relay of generator.