Study on low-carbon optimal operation of park-level integrated energy system considering light intensity, temperature, and wind speed correlation scenario generation

In this paper, the relationship between wind speed, temperature, and light intensity is explored, and a joint density function of the three is constructed using the kernel density function and Gaussian-Copula, so as to derive typical scenarios to reduce the uncertainty of renewable energy. In addition, an optimization model including carbon transaction cost is established in this paper, which is proven to be effective in reducing carbon emissions through comparative analysis of examples, demonstrating its potential and application value in optimizing the operation of integrated energy systems.