Optimal Configuration of Hydrogen Energy Storage in Park Integrated Energy System Considering Medium/Long-Term Electricity and Carbon Prices

To achieve the goals of carbon peaking and carbon neutrality, hydrogen energy has become an important solution for clean energy. In this context, this paper proposes an optimized configuration scheme for hydrogen energy storage in park integrated energy systems, taking into account the medium/long-term electricity-carbon price. Based on the analysis of the impact of medium/long-term electricity-carbon prices on the optimization of power flow in the industrial park, a multi-energy coupling model for long-term hydrogen energy storage is established. A monthly scheduling simulation period is adopted to establish an optimized configuration model for hydrogen energy storage in the integrated energy system of the industrial park, considering the time cost of capital and aiming to minimize annual operational costs. The model is solved by a genetic algorithm combined with a mixed integer linear programming algorithm. Case studies analyze the economy of the industrial park after the configuration of hydrogen energy storage and the decision-making of various energy flow scheduling, which verify the economy and feasibility of the proposed model.