In the process of clean energy development, the installed capacity of wind power has been rising continuously, which puts great pressure on the frequency stability of the power system. Advance scheduling by means of wind power prediction to make the grid frequency more stable is a feasible solution to cope with this pressure. In order to make the frequency regulation more efficient, this paper proposes a day-ahead scheduling optimization method for hydrogen battery hybrid energy storage system. First, the demand for frequency regulation is quantified. Using the discrete Fourier transform, the capacity demand for different time scales of standby types caused by the system prediction error is quantified for that time period of the scenario. The operation models of the wind storage plant and electrolyzer are established, and the optimization model of the hydrogen battery hybrid energy storage system for the day-ahead FM auxiliary service is established by considering the grid FM demand. Finally, the effectiveness of the model is verified by means of simulation verification.