Research on optimal scheduling of wind-hydrogen integrated energy system considering wind power uncertainty

The combination of energy storage technology and wind power to realize the time-space translation of electric energy is an effective means to solve the problem of operation stability of new power systems. Hydrogen energy storage has the advantages of large storage capacity, clean and pollution-free, and flexible operation, and has great development potential. However, due to the uncertainty of wind power, hydrogen energy storage systems face uncertain load demands when they frequently switch working modes. In order to ensure the safe and stable operation of the system, to achieve the maximum degree of wind power consumption, improve the system economy. In this paper, the basic structure and mathematical model of the wind-hydrogen integrated energy system are established. Secondly, a wind power scenario reduction method based on K-means clustering algorithm is proposed, and a robust interval optimization scheduling model for the wind-hydrogen integrated energy system considering wind power uncertainties is constructed with the aim of minimizing the expected annual cost. Finally, the MATLAB/Simulink simulation platform is used to simulate the integrated energy system in a certain area, and the rationality and effectiveness of the model are verified.