Study on the photovoltaic power generation prediction methods based on comprehensive regression analysis of environmental factors

Accurate mastering the changes of photovoltaic power generation system is the base to achieve scientific scheduling of power stations. Conducting comprehensive analysis on the direct and indirect effects of environmental factors on system power generation is the key to master the change law. In order to explore the direct or indirect-cross influence of various environmental factors on PV generations, this paper collects the continuous generation data of Changzhou practical engineering cases and meteorological data in the first quarter of year 2014 and 2015, analyzes the effects of radiation, temperature, weather type, wind indices, air quality and other factors on system generation based on mathematical regression method, deduces the prediction formula of system generation, and verifies the prediction error. Studies have shown that various environmental factors have different effects on PV generation, and the photovoltaic power generation forecasting model based on regression analysis has good precision.