The current research focuses on using Coati Optimization Algorithm (COA) based optimization approaches to improve the performance of a half-bridge compensator used in electric traction systems. The study’s main goals are to reduce Total Harmonic Distortion (THD) and stabilize the Direct Current (DC) link voltage, which are crucial elements that affect the overall dependability and efficiency of electric traction systems. The suggested methodology makes use of sophisticated optimization techniques and control algorithms based on COA analysis. The goal of the optimization approach is to strike a compromise between reducing THD and stabilizing the DC link voltage by methodically examining different control parameters. A comprehensive approach is ensured by taking into account the trade-offs between voltage stability and energy efficiency through the use of COA-based measures. The outcomes of the simulation show that the suggested COA-based optimization strategy is effective in outperforming conventional control strategies in terms of performance. Reduced THD levels and improved DC link voltage stability are two benefits of the redesigned half-bridge compensator that raise the overall effectiveness and dependability of electric traction systems. The results of this study open the door to more effective and environmentally friendly modes of transportation by offering insightful information for the development and use of sophisticated control schemes in electric traction applications.