This paper proposes a hybrid algorithm-based control model for enhancing the low voltage ride through (LVRT) capability of the doubly fed induction generator (DFIG) system. The hybrid algorithm is the combined execution of both modified elephant herding algorithm (MEHA) and random forest (RF) algorithm, and hence the technique is named as MEHRFA. The purpose of the proposed control technique ensures the LVRT capability in the DFIG-based WECS at voltage drop and fault conditions. Here, MEHA approach is used as offline manner to identify the ideal solutions from the available searching space and creates the training dataset. In the MEHA technique, multiple parameters are considered which are related to LVRT such as, voltage, real and reactive powers and current. Utilizing these parameters, the objective function is characterized and solved by MEHA method. In light of the accomplished dataset, the RF performs and predicts the best possible control signals for machine-side converter and grid-side converter. In this manner, the LVRT capability of DFIG system and power quality issues has been enhanced with the assistance of proposed technique. The proposed procedure is implemented in MATLAB/Simulink working platform, and the exhibition is assessed by utilizing the comparison analysis with existing techniques.