Optimal scheduling of an integrated electric-hydrogen-thermal energy system considering carbon trading and wind farm aggregation

The use of renewable energy sources has energized the process of carbon neutrality, and in particular wind and hydrogen are being considered. However, each of them has its relative technical challenges, such as intermittency and uncertainty in the case of wind energy, and safety and economics in the case of hydrogen energy, which limits development. Expect to achieve optimal dispatch of the electric-hydrogen-thermal uncertainty of the two wind turbine co-generations in the two sets of parks. First, to measure the uncertainty of co-generation wind farms, a geometrical optimal Copula is selected for the two sets of wind turbine outputs, and a typical scenario is generated. Secondly, based on the uncertainty scenario establishment, by in hydrogen utilization, the scheduling situation is presented on a typical day economy under the carbon trading mechanism. The results show that the system by integrating the hydrogen energy industry chain, realizes the interaction with external carbon energy sources, adequately accommodates wind power generation, and the system operates economically under multiple uncertainty conditions. For the wind energy uncertainty study, the t-Copula function performs well on the Spearman side with-0.4923, and on the Kendall side with-0.3406. The placement of energy equipment is related to the impact of cost characteristics, and the microgrids can be selected to remove economically inefficient equipment through the scheduling assessment, when the low-utilization equipment is removed, the new scheduling strategy obtained shows that the cost of purchased electricity and gas is reduced, with a reduction of $65.94 and $34.12 in daily operating costs, respectively.