A Hybrid Adaptive Filtering Algorithm based Control Strategy for LVRT Capability Enhancement of Grid-Connected DFIG-WECS

This work proposes a novel application of the hybrid adaptive filtering algorithm (HAFA) that combines both continuous mixed p-norm (CMPN) topology and least mean square root of exponential (LMSRE) strategy in order to improve the low voltage ride-through (LVRT) capability of the grid-connected doubly fed induction generator (DFIG) based wind energy conversion system ( WECS). This article suggests the CMPN-LMSRE-based HAFA because of its quick convergence, low computing load, and straightforward construction. Through quick convergence velocity, the proposed HAFA adjusts the gains of all proportional-integral (PI) controllers. Under the cascaded arrangement, four PI controllers are used in the rotor side converter (RSC), and four more are used in the grid side converter (GSC). The RSC is regulated by cascaded structure-based PI controllers to limit generator power loss and enhance power production. In contrast, GSC is controlled to preserve the grid side reactive power and dc-link voltage. By contrasting the outcomes of the proposed CMPN-LMSRE-based PI controllers with those of CMPN-based and LMSRE-based PI controllers during severe grid disturbances, the validity of the proposed CMPN-LMSRE-based PI controllers is confirmed. The MATLAB application is used to carry out the LVRT capability.