In order to maximize the efficiency of PV systems, this research proposes a new method of MPPT known as enhanced adaptive perturb and observe (EA-P&O). The objective is to address issues with conventional P&O, such as its propensity for steady-state oscillation, it's unreliable tracking, and its inability to spot the global peak when it is obscured in some way. To address the first two problems, we introduce a unique oscillation detection mechanism and a dynamic boundary condition. A sophisticated forecasting system is currently being created to monitor the worldwide peak on a continuous basis. The fact that open-circuit voltage can be determined without the inclusion of external sensors is still another perk. To ensure the concept is feasible, we run simulations in Matlab under rigorous dynamic irradiance and partial shading circumstances. Adding more experimental proof with the help of a buck-boost converter and a dSpace DS1104 DSP processor. The algorithm is compared to the artificial bee colony, modified incremental conduction, cuckoo search, and hybrid ant colony Optimization-P&O, all of which are well-known MPPT approaches. The results show that the suggested method succeeds where others fail when trying to follow the global peak in varying degrees of partial shade. Additionally, the tracking speed has been multiplied by three, while maintaining 99% accuracy.