Maximum Power point Tracking is decisive to improving the effectiveness of the structure, specifically under partial shading conditions (PSC), where numerous peaks arise in the power-voltage aspects. This paper presents a hybrid Grey Wolf Optimization (GWO)-Fuzzy MPPT methods that combines the robust global search capacity of GWO with flexible decision making of fuzzy logic control (FLC) to reach efficient and fast tracking of Global Maximum Power Point (GMPP). A Multilevel Sepic converter (MSC) is utilized to reduce the ripples in voltage and component ratings and the GWO algorithm efficiently examine the search space to detect the GMPP, while the FLC refines the tracking process by dynamically regulating the duty cycle of Multilevel SEPIC converter, improving response time and stability and the projected hybrid approach is validated through simulation in MATLAB/SIMULINK with superior tracking speed, accuracy, lowered potential oscillations distinguished to normal MPPT methods like Perturb and Observe (P&O) and Partial Swam Optimization (PSO). This method intensifies the overall efficiency yield of PV systems, making it hopeful results for real world energy from PV source utilizations.