Research on Capacity Optimization Configuration of Solar Hydrogen Production System Based on Layered Optimization Strategy

In order to achieve the goal of “carbon peaking and carbon neutrality” as soon as possible, using renewable energy such as wind and solar energy to produce hydrogen is one of the breakthrough technologies to reduce the cost of hydrogen production and improve the on-site consumption capacity of renewable energy. In order to improve the economic benefits of the wind solar hydrogen production system and reduce the losses caused by wind and light abandonment, this paper proposes a hierarchical optimization strategy based on the modeling of the wind solar hydrogen production system, which can increase the system's revenue while determining the system capacity configuration. Firstly, a hierarchical optimization model was established with the upper level optimization objective of minimizing wind and light abandonment, and the lower level optimization objective of maximizing system operating income. The improved butterfly optimization algorithm was used to solve the hierarchical optimization model. The algorithm not only converged quickly but also effectively avoided falling into local optima. Finally, the effectiveness and feasibility of the proposed scheme were verified by running matlab simulation software.