AUTOMATION OF MICROPROCESSOR RELAY PROTECTION DEVICES BASED ON THE USE OF NEURAL NETWORK TECHNOLOGIES
In order to increase the selectivity and technical efficiency of microprocessor relay protection devices for AC contact network feeders, it is proposed to use the developed artificial neural network to provide information about the current train situation (weights of trains moving along the section, their current coordinates and speeds, types of locomotives, etc.) obtained from the Ural-VNIIZHT automated GUIDE system, with electrical parameters values removed in parallel from relay protection terminals, with the simultaneous formation of many unified templates in the form of hash codes.