Transient Stability Improvement of the DFIG-Based Wind Turbine Using Adaptive Controlled STATCOM

In this paper, a new approach is presented that utilizes a least mean square root of exponential (LMSRE)-based adaptive filtering algorithm to enhance the transient stability of doubly fed induction generator (DFIG) based wind turbines through the static synchronous compensator (STATCOM). The control strategy of the STATCOM relies on the voltage source converter (VSC). The proposed method involves the online adjustment of the gain of all the proportional-integral (PI) controllers in the VSC's cascaded structure using the LMSRE algorithm, which ensures rapid convergence. The selection of the LMSRE algorithm in this study is motivated by its quick convergence rate, minimum computational intricacy, and straightforward structure. To assess the effectiveness of the proposed LMSRE-PI based adaptive controlled STATCOM, its performance is compared with a PI controller based on the least mean square (LMS) adaptive algorithm under symmetrical voltage sag conditions. The effectiveness of the proposed adaptive controlled STATCOM is verified through the utilization of MATLAB/Simulink software, thereby validating its performance.