Design of Wind Energy Hydrogen Storage System in Jilin Province Based on Bayesian Probabilistic Approach

In the face of the increasingly serious global energy crisis and environmental problems, the utilization of clean energy becomes particularly important. In order to explore the reasonable integration of electric, thermal and hydrogen energy in the micro-grid system, this paper proposes an optimization strategy of hydrogen storage based on wind energy. Firstly, the maximum power of wind turbine power generation is determined by Bayesian probabilistic method, and then the electric-thermal-hydrogen coupled micro-grid system is constructed to specifically analyze the hydrogen storage optimization strategy. The optimization strategy study adopts the mixed integer linear programming method to model and optimize the electro-thermal-hydrogen coupled micro-grid system, and calculates the minimum operating cost of the micro-grid system. Finally, the dispatch results of typical days in spring, summer, autumn and winter seasons in a certain region are specifically analyzed respectively. The results show that the output power of the wind power system has changed greatly in different seasons, which has a great impact on the scheduling of the micro grid system. The system has a certain degree of reference significance in solving similar problems in reality.