Assessment of Transient Disturbance using Discrete Fourier Transform and Feed Forward Neural Network based Hybrid Classifier

Transient voltage disturbance is one of the prime disturbances occurring in power system, which is of two types' oscillatory transient and impulsive transient. This paper proposes a effective and accurate classifier to segregate normal voltage and transient voltage disturbances. To begin with, the different voltage waveforms for both normal and transient signals have been modelled using corresponding mathematical equations taking suitable sampling frequency in consideration. Secondly, suitable characteristics from these signals are being extracted. Thirdly, these extracted features have been fed into artificial neural network and checked for the output. At last, by checking the out-turn of the neural network, the input signal is getting classified into either normal voltage signal or transient disturbance signal.