Research on the Mathematical Prediction Theory Model of User Side Light Storage Energy Generation and Its Validation Analysis

Distributed energy storage and distributed photovoltaic are currently widely used in China, but the current output level of distributed photovoltaic is closely related to factors such as sunlight duration and intensity, among which in the analysis of solar storage configuration yield based on load characteristic curves. The light intensity is based on the average daily hourly rate in the past three years, and the load curve is based on the average daily hourly rate of 15 minutes in the past year. Annual utilization hours are mostly distributed between 650 and 900 hours, and the peak of normal distribution is 700 hours. In long run, due to the high compatibility between distributed photovoltaic power generation output and peak valley electricity price policies, about 70% of the power generation occurs during peak hours. Distributed photovoltaic power generation has characteristics of non-schedulability and difficult to predict, but photovoltaic power generation has increased significantly, and its cost of electricity by source is still high.