The foremost development in the multilevel converter family is the Modular Multilevel Converter (MMC) and is mainly used for High voltage Direct Current (DC) transmission. Since it possess many advantages like increased scalability, reliability and better voltage quality, it is employed in many applications. When MMCs are employed along with Renewable energy systems (RES), it provides better energy management, along with reduced THD. However, voltage fluctuation issues occur in the MMC and in order to overcome this issue, a novel technique is employed in the proposed work. This paper presents a PV (Photovoltaic) fed MMC, along with intelligent techniques, for hybrid energy storage system. The low frequency DC supply from the PV system is transformed into high frequency DC with the half bridge sub-module MMC. Then, the using three phase Voltage Source Inverter (VSI), it is transformed into low frequency AC and is supplied to the grid. The grid synchronization is attained with the aid of Grey Wolf Optimization (GWO) based closed loop technique. The excess energy from the PV system is stored in the battery with the aid of a bi-directional battery converter and its voltage is controlled with Artificial Neural Network (ANN) controller. Finally, it is implemented in MATLAB/Simulink for evaluating its performance. The proposed work provides better energy management along with reduced THD. © 2024 Elsevier B.V., All rights reserved.