AI applications in maximum power point (MPP) tracking, power forecasting within PV systems

الملخص

The rapid evolution of artificial intelligence (AI) technologies has greatly improved the efficiency and effectiveness of photovoltaic (PV) systems, particularly in the areas of Maximum Power Point (MPP) tracking and power forecasting. MPP tracking is essential for optimizing solar energy extraction under fluctuating environmental conditions, different temperature and irradiance. AI algorithms, including neural networks and reinforcement learning, are increasingly utilized to dynamically adjust operating points in real-time. In this paper, the AI technology's offer enhanced adaptability and accuracy especially in the face of rapidly changing weather.

AI-driven power forecasting significantly enhances the ability to predict solar energy generation by utilizing historical data, meteorological information, and better grid management and energy resource allocation. The incorporation of AI in MPP tracking and power forecasting not only optimizes energy output and reliability but also promotes the sustainability and economic feasibility of solar energy systems.