Abstract
This work proposes a new method for fault diagnosis in electric power systems based on neural modules. With this method the
diagnosis is performed by assigning a neural module for each type of component comprising the electric power system, whether
it is a transmission line, bus or transformer.The neural modules for buses and transformers comprise two diagnostic levels which
take into consideration the logic states of switches and relays, both internal and back-up, with the exception of the neural module
for transmission lines which also has a third diagnostic level which takes into account the oscillograms of fault voltages and currents
as well as the frequency spectrums of these oscillograms, in order to verify if the transmission line had in fact been subjected to a
fault. One important advantage of the diagnostic system proposed is that its implementation does not require the use of a network
configurator for the system; it does not depend on the size of the power network nor does it require retraining of the neural modules
if the power network increases in size, making its application possible to only one component, a specific area, or the whole context
of the power system.
