Comprehensive Prediction of Generation Power in Photovoltaic Microgrid

The output power of distributed photovoltaic power supply is mainly affected by environmental and meteorological conditions. The output power has great randomness and fluctuation. If the output power of photovoltaic cells can be accurately predicted, it will be of great significance to the optimal dispatch of distribution network. In this paper, based on the improved BP neural network algorithm, considering the correction of solar radiation intensity of photovoltaic cloud cover and the correction of output power fluctuation of similar day history, a comprehensive forecasting method of output power of photovoltaic power generation is established, and satisfactory forecasting results are obtained through simulation and analysis.