The bidirectional converter is crucial in connecting the AC and DC microgrids, ensuring effective control over power transfer and system stabilization. Numerous techniques have been devised within the domain of power storage systems. However, it exhibits a significantly reduced voltage owing to its irregular characteristics. This paper introduces a new method called termite-based modular neural controller (TbMNC). The objective of the TbMNC is to counterbalance the power depletion resulting from the power source. The utilization of energy sources holds significant importance. To attain the intended power supply level, it is imperative to possess a bidirectional AC/DC converter. The evaluation of the optimized parameters effectiveness was conducted by integrating EVCS, which necessitates high voltage and low THD. The enhancement of this method was demonstrated through the validation process on multiple pre-existing models. The proposed TbMNC method achieved a THD value of 0.2, which is lower than all other methods.