Photovoltaic Power Forecasting via Singular Value Decomposition

The patent performs preliminary weather forecasting and photovoltaic power prediction before actual power generation occurs. By using numerical weather prediction models to forecast weather parameters and then predicting photovoltaic power output based on these forecasts, the system enables advance preparation for power grid scheduling and dispatch, allowing operators to anticipate volatility and plan accordingly, thus maintaining grid stability while accommodating large-scale photovoltaic integration

The patent establishes a feedback mechanism by continuously monitoring actual photovoltaic power output and comparing it with predicted values. The system uses historical weather data and actual power generation data to refine prediction models, creating a closed-loop system that improves prediction accuracy over time and enables dynamic adjustment of grid operations to maintain stability

The patent segments the complex prediction system into distinct modules: a numerical weather prediction module that forecasts weather parameters, and a photovoltaic power prediction module that calculates power output based on weather forecasts. This segmentation allows each module to specialize in specific tasks, improving overall prediction accuracy while managing complexity through modular design where each component can be independently optimized and maintained

The patent transforms complex weather and environmental conditions into standardized numerical parameters that can be processed by prediction models. By converting qualitative weather conditions into quantitative parameters and using mathematical relationships to predict photovoltaic power output, the system achieves high prediction accuracy while maintaining computational tractability