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The paper presents an application of on-line artificial neural network (ANN) for refining the transient performance of the doubly-fed induction generator (DFIG) operated by wind turbine energy system (WTES). The proposed on-line ANN is used to control the DFIG driven by WTES connected the electric grid via double transmutation lines. The on-line ANN used the back-propagation algorithm based on the gradient descent method to update the weights and biasing of the different layers of ANN. The objective function of the updating algorithm is to eliminate the system error. The system under study is simulated and tested using the SIMULINK package under different sever transient disturbances to validate the proposed controller. The simulation results depicted a better transient response of the overall system based on ANN in compared with the conventional PI controller.

On-Line ANN based Controller for Improving Transient Response of Grid-Connected DFIG-driven by Wind Turbine