Identifikasi Jenis Gangguan pada Jaringan Transmisi Menggunakan Metode Jaring Syaraf Tiruan

On transmission network often occur assorted disruption, as 1-phase short circuit to ground, phase-to-phase short circuit, phase-to-earth short circuit, and symmetrical. The detection of the disruption can be done by using neural network method. Neural network consists of nonlinear element counter that each connected in parallel through load. Training process on this neural network consists of training process towards disruptions: 1-phase short circuit to ground, phase-to-phase short circuit, phase-to-earth short circuit, and symmetrical. Training process on this network transmission using 6 data input configuration, 10 hidden layer, 6 data target, and 6 output (6-10-6-6). The result show that the value of current and voltage for all kind of disruption on network transmission successfully resurrected, where the current and voltage output from training process will be saved and used as reference to determine the type of short circuit disruption that occur on network transmission.