<p>Improving switching methods and modulation techniques is crucial for improving the performance of multilayer inverters in wind energy conversion systems. One challenge in this process is minimizing power loss and Total Harmonic Distortion (THD), as these elements have a major influence on the energy conversion's overall quality and efficiency. This research provides a hybrid technique to improve MLIs' performance in WECS to get around these problems. Dual Transformer Residual Network (DTRN) and Red Panda Optimization Algorithm (RPOA) are combined in the proposed approach. It is hence known as the RPOA-DTRN approach methodology. Reducing power loss and THD is the primary objective of the proposed strategy. The RPOA is used to optimize the multilevel inverter system, and the DTRN technique is used to regulate the switches. By then, the MATLAB platform is used to run the proposed method. The proposed approach outperforms any existing techniques, including Wild Horse Optimizer, Particle Swarm Optimization, and Heap-based Optimizer attaining a THD of 0.45%, 0.67%, and 0.88% correspondingly. The proposed approach, RPOA-DTRN, yields a THD of 0.2%. The proposed approach exhibits a 0.2&#xa0;W power loss in comparison to other existing methods. The outcome indicates that the power loss and THD of the proposed method are modest.</p>