Control of PMSG Wind Turbine Based on PI/ANN Controllers under Unbalanced Grid Voltage and Nonlinear Load Conditions

Renewable Energy Sources (RES) are nowadays growing rapidly at the distribution level and it employs power electronic converters to ensure reliable operation to the customers. Among the RES, wind energy is now firmly established technology for electricity generation. This paper proposes a conventional PI controller and Artificial Neural Network (ANN) controller to GSC of PMSG, which can obtain zero error in current controller. The grid side converter plays a dual role of interfacing the wind energy to grid as well as to supply reactive power as demanded by the non-linear load connected at the PCC. In this, the system is verified under two considerations: i.e. grid connected PMSG based wind system under fault analysis and comparison study of Proportional integral (PI) controller and ANN Controller to the PMSG grid-side converter Presents of Non-Linear load. Furthermore, the proposed system implemented in Matlab/Simulink and the effectiveness of the proposed Grid based PMSG wind system under grid fault conditions are studied.