Optimization of Integrated Energy System with Wind and Solar Uncertainties based on Copula Function

The impact of uncertainty in wind and photovoltaic power generation on the economic efficiency of integrated energy systems. Therefore, this article adopts Copula function as wind power, the photovoltaic joint probability distribution function is used to simulate the generation of a large number of wind and photovoltaic scenarios, and based on this, the k-means algorithm is used to cluster and reduce the uncertainty output values of each scenario. Consider a comprehensive energy system composed of gas turbines, electric boilers, fuel cells, and other equipment, and use Cplex optimization software to gain the optimal output and total working cost of every micro power source during the optimization cycle.