The growing demand for clean and efficient energy carriers has positioned hydrogen as a key component of future sustainable energy systems. This paper focuses on optimizing hydrogen production in a photovoltaic-proton exchange membrane (PV-PEM) electrolyzer system through enhanced power control. A hybrid maximum power point tracking (MPPT) algorithm, combining the conventional perturb and observe (P&O) method with fuzzy logic control (FLC), is developed to improve dynamic tracking performance and energy efficiency under fluctuating solar irradiance. A detailed nonlinear model of the PV-PEM system was implemented in MATLAB/Simulink, accounting for both the electrical behavior of the PEM electrolyzer and the converter dynamics. Simulation results show that the hybrid MPPT achieves faster convergence, reduced current oscillations, and higher overall efficiency compared to standalone P&O and FLC. At standard test conditions (25 °C and 1000 W/m2), the hybrid controller reached an energy efficiency of approximately 97% and a hydrogen production rate of 67.5 ml/min, representing an improvement of about 1–2% in efficiency and a 50% reduction in response time compared to conventional methods. These results confirm the effectiveness of the hybrid MPPT strategy in ensuring stable operation, improved power transfer, and enhanced hydrogen generation efficiency for real-time renewable hydrogen applications.