To address the intermittent and unstable power output issues in hydrogen production from renewable energy sources such as wind and solar power, it is crucial to achieve the optimal configuration of green power hydrogen production equipment. The discrete combinatorial optimization algorithms and multi-objective shuffled frog leaping algorithms are study introduced to conduct optimization research on the planning of parks with pure photovoltaic, pure wind power, and photovoltaic-wind power hybrid systems for renewable energy generation. Models of electrolyzer system efficiency, operating power, cost, and capacity are constructed. The results show that in a hybrid system with a photovoltaic capacity of 2.60 MW and a wind power capacity of 3.80 MW, the lowest hydrogen levelized cost is 17.83 yuan/kg, and the full-load operating hours of the electrolyzer are approximately 3 400 hours. After optimization by the multi-objective shuffled frog leaping algorithm, the optimal configuration is a photovoltaic capacity of 1.50 MW and a wind power capacity of 0.55 MW, with a maximum hydrogen production of 2 949.62 kg. The photovoltaic-wind power hybrid system can not only reduce the hydrogen levelized cost but also increase the full-load operating time, providing a theoretical reference for the scientific planning of hydrogen production from renewable energy in the future.

renewable energy  /  green hydrogen production  /  electrolyzer  /  discrete combinatorial optimization  /  multi-objective shuffled frog leaping optimization algorithm