A novel hybrid MPPT (Maximum Power Point Tracking) model that hybridizes the P&O(Perturb and Observe) and PSO (Particle Swarm Optimization) algorithms to enhance the efficiency of PV (photovoltaic) systems under various irradiance conditions is illustrated in this paper. The hybrid MPPT technique is designed in Simulink to overcome the limitations of conventional MPPT methods under low irradiance conditions. It utilizes 16 diverse model set-ups and includes fifteen P&O dynamic sub-models. These P&O sub-models adapt to instantaneous irradiance for optimized power extraction. Furthermore, one PSO model is used for the three irradiance bands (301-400 W/m2, 500-550 W/m2 and 800-1000 W/m2) to improve the efficiency at high irradiance levels. The effectiveness of the developed hybrid model is tested using the field actual irradiance data of Patenga, Bangladesh. Numerical simulation indicates that the system can obtain an average efficiency of 87.87% under the low irradiance. The efficiency of the system remains stable under 1 spectrum, and achieves a peak value of 97.57% at 1000 W/m2. These findings reveal the capability of the hybrid P&O-PSO MPPT model for enhancing the energy harvesting efficiency of the solar systems, and provide a robust approach to maximize the solar power generation potential, particularly for areas with varying levels of irradiance such as Chattogram Patenga, Bangladesh.