Dynamic Behavior of DFIG Wind Energy Conversion System under Various Faults with ANN

The dynamic behavior of a DFIG grid connected, wind energy conversion system (WECS) is simulated using MATLAB. in this paper ,Artificial neural network (ANN) with Multi Level Inverter(MLI) control technique has been developed for Doubly Fed Induction Generator(DFIG) based wind energy conversion system. With the increasing use of wind power generation, it is required to investigate the dynamic performance analysis of Doubly Fed Induction Generator under various operating conditions such as different fault conditions like line to ground faults, double line to ground faults, three phase faults and grid faults. the results of the proposed system is compared to that of the system with PI Controllers. The comparison shows that the integrated ANN controller results in an improvement in the dynamic behavior of the system under different operating conditions.