Artificial Neural Network-Based Fault Identification for Grid-connected Electric Traction Network

Identifying the fault type and faulted phase prior to protection coordination and restoration of the remaining healthy part of the utility power grid in the presence of railway traction load is an important process to ensure power supply system reliability of the grid-connected traction network. An...

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