Abstract: Under the ‘dual carbon’ strategy, the penetration ratio of renewable energy is increasing, and the lack of flexible resources is becoming more and more serious. To build a safe, efficient, lowcarbon and clean energy system to meet this challenge, an integrated energy system optimization allocation method considering the joint operation of multiple flexibility resources is proposed. The proposed method firstly refined the modeling of the two stages of the power-to-gas equipment, and the coordinated operation of the hydrogen-doped gas turbine and the power-to-gas equipment is introduced to make full use of the low-carbon characteristics of H2. At the same time, the carbon capture equipment provides carbon raw materials to the power-to-gas equipment to realize the recycling of CO2, thus constructing a flexible resource joint operation framework with hydrogen energy as the core. Then, aiming at the uncertainty of renewable energy output, the optimal clustering number is determined by Elbow method, and the typical scene of wind speed is obtained by K-means clustering algorithm; on this basis, an optimal allocation model is established with the objective of minimizing the sum of investment cost, operation and maintenance cost, replacement cost, environmental penalty and wind abandonment penalty cost, taking into account the equipment constraints, energy balance constraints and flexibility constraints; in order to solve the nonlinear problem of the model, the large M method is adopted to linearize it and complete the model solution. Finally, an example validation is carried out based on the measured data in a region in southwest China, and the results show that the total cost of the integrated energy system shown in this paper is reduced by 10.22%, the penetration rate of new energy is increased by 6.01%, and the cost of environmental penalties is reduced by 2.65%, which effectively improves the economy of the system and the amount of new energy consumed, and significantly reduces the level of system carbon emissions.

Key words: Flexibility resources, Integrated energy system, Optimal configuration, Hydrogen energy, Uncertainty