The biggest challenge in developing Maximum Power Point Tracking (MPPT) algorithms for photovoltaic systems is accurately locating the global maximum power point (GMPP) under shading conditions. This study proposes an effective two-stage solution to track the GMPP. The first stage uses the photovoltaic module's current equation to identify the potential maximum power voltage (Vmp) region for the GMPP. In the second stage, the system is brought to the operating region containing the GMPP, and then the Perturb and Observe (P&O) algorithm is employed to precisely pinpoint the GMPP value. This method is not only simple and efficient but also highly accurate and achieves faster convergence compared to the adaptive Jaya (Ajaya) and Tent-FPA algorithms under similar testing conditions. The results of the study indicate that the proposed method not only improves GMPP tracking performance but also optimizes the operation of photovoltaic systems under shading conditions, contributing positively to enhancing energy efficiency and reducing operational costs.