Centralized radial feeder protection in electric power distribution using artificial neural networks (CROSBI ID 316295)
Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Išlić, Marko ; Sučić, Stjepan ; Havelka, Juraj ; Marušić, Ante
engleski
Centralized radial feeder protection in electric power distribution using artificial neural networks
The paper deals with a new way of determining a fault location in an electric power distribution radial feeder using an artificial neural network (ANN) and presents a new centralized protection method based on ANN. The aim of the devised algorithm is to detect the presence of a fault in a radial feeder and to disconnect faulted laterals from the distribution network. The protection schemes that are currently in use cannot leave the whole feeder energized by disconnecting faulted laterals only without even short de-energization of the healthy part of the feeder. A simulation model is also made for training the ANN and for testing the results. Current values for faulty and healthy states are generated by the simulation model and are used as training and testing data for the algorithm. The purpose of the algorithm is to make a decision which feeder circuit breakers should trip. The simulation model andthe ANN are modeled by using MATLAB tools. The results show that the tripping of circuit breakers initiated by the algorithm is correct for all states.
Artificial neural network ; Power distribution grid ; Power system protection ; IEEE radial test feeder ; Matlab simulation ; Simulink model ; Radial feeder
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Podaci o izdanju
22
2020.
1-13
objavljeno
2352-4677
10.1016/j.segan.2020.100331