An efficient ANFIS crowbar protection for DFIG wind turbines during faults

This paper presents the design of an Adaptive Neuro-Fuzzy Inference System (ANFIS) crowbar protection strategy for Doubly Fed Induction Generator (DFIG) wind turbines during grid faults. The proposed ANFIS crowbar protection technique depending on the measurements of voltages and currents at the terminals of the DFIG wind turbine to protect the generator components during faults especially the DC-link capacitor and power electronic converters. The proposed ANFIS crowbar is investigated in two approaches. Firstly, it is used to activate a crowbar resistor connected with the rotor winding during fault occurrence as an ANFIS inner crowbar protection technique. Secondly, it is used to activate a crowbar resistor connected at the terminal of DFIG during fault occurrence as an ANFIS outer crowbar protection technique. Finally, a comparison between the behaviors of the DFIG wind turbine generators during grid faults without crowbar protection and with the two proposed ANFIS crowbar protection techniques is investigated.