D-Vine Copula Based Distributionally Robust Optimization of Integrated Energy Distribution Network Considering Multiple Uncertainty

In order to adapt to the uncertainty of new energy, increase new energy consumption and reduce carbon emissions, this paper proposes an optimal scheduling model of integrated energy distribution network considering the uncertainties of wind, photovoltaic and demand response. Firstly, the joint probability distribution of wind power, photovoltaic and demand response is established by using D-vine structure of Copula function. which is used as the reference probability distribution of the distributionally robust ambiguous set. A distributionally robust ambiguous set based on K-L divergence is established to deal with uncertainty. Taking the minimum scheduling cost of integrated energy distribution network as the optimizttion objective, a distributionally robust optimization scheduling model is established and is solved by the solver. The simulation experiments on modified distribution network EEE 33 node system of integrated energy illustrate that proposed model can effectively improve new energy consumption capacity and reduce carbon emissions.