Online parameter identification for a DFIG driven wind turbine generator based on recursive least squares algorithm

This paper describes a fault detection system strategy, which is suitable for wind generators, and may contribute to prevent failures occurring in wind energy conversion systems such as short-circuit. Indeed, the reliability of wind turbines is important in order to capture the maximum power. The proposed strategy is based on the recursive least square method for on-line identification of the generator parameters. Moreover, this approach helps to improve the model-based controller performance. The effectiveness of the proposed strategy is established through Matlab/Simulink environment.