Correlation analysis between load and output of renewable energy generation based on time-varying Copula theory

Typical renewable energy sources such as wind and solar energy have significant time-varying and spatial correlations. Large number of wind power and photovoltaic power grid-connecting will bring challenges to the safe operation of the distribution network. In order to describe this correlation more accurately, we need to establish a model for the correlation between load and output of renewable energy generation. This paper uses kernel density estimation to model the source charge, using kernel density theory and Copula theory to analyze the static correlation between source output and load. And then add in time variables by using time-varying Copula functions to characterize the timespace correlation, and test the model to verify the effectiveness and accuracy of this method.