Advancing Solar PV Efficiency and Policy Integration: A Novel MPPT-Optimized Fabrication Approach for Sustainable Energy Transition

The transition to sustainable energy sources necessitates the continuous improvement of solar photovoltaic (PV) technologies to enhance efficiency, reliability, and scalability. Maximum Power Point Tracking (MPPT) algorithms play a pivotal role in optimizing PV system performance by dynamically adjusting operating parameters to maximize energy yield. However, traditional MPPT techniques often fail to respond effectively to rapid environmental fluctuations, leading to energy losses. This study proposes an innovative MPPT-optimized fabrication approach that integrates advanced semiconductor materials, intelligent power electronics, and AI-driven predictive algorithms. Additionally, the research underscores the importance of aligning these technological advancements with robust policy frameworks that facilitate grid integration, financial incentives, and regulatory support for high-efficiency solar PV deployment. Using a narrative review methodology, this paper synthesizes recent advancements in PV fabrication, AI-enhanced MPPT systems, and energy policies. The findings highlight the synergistic impact of integrating next-generation PV technologies with adaptive MPPT mechanisms, demonstrating their potential to significantly improve energy conversion efficiency and grid resilience. The study concludes that a holistic approach combining technological innovation and policy support is crucial for achieving a sustainable and economically viable solar energy transition. Keywords: MPPT, Optimized Fabrication, Solar PV, Policy, Sustainable Energy