This research explores the performance and efficacy of a Hybrid Generation System (HGS) incorporating Power Smoothing Functionality facilitated by a Neural Network (NN) Controller. MATLAB Simulink serves as the simulation platform for comprehensive analysis. The study meticulously examines HGS components, encompassing renewable energy sources and energy storage, with a specific focus on the NN controller's pivotal role in optimizing power smoothing capabilities. Employing MATLAB Simulink for modeling and simulation enables the assessment of the system's dynamic behavior and responsiveness across diverse conditions. The outcomes provide valuable insights into the feasibility and practical implementation of NN-based control strategies, ultimately enhancing power stability in hybrid generation systems. This research contributes to the expanding knowledge base in sustainable energy systems, establishing a groundwork for future developments and applications of RES within the power grid, leading to a more stable and sustainable energy ecosystem.