L. R. Chandran

Intelligent fault diagnosis and protection in DG-connected systems using resistive superconducting fault current limiter and ANN-based detection

An integrated approach that combines a resistive superconducting fault current limiter (RSFCL) with an artificial neural network (ANN)-based intelligent fault diagnosis framework provides an effective and intelligent solution for fault diagnosis and protection in DG-integrated power systems.