Abstract: The randomness and intermittence of renewable energy generation, such as wind and photovoltaic power generation, directly affect the safe and stable operation of the power grid system. The utilization of wind, photovoltaic, and solar hydrogen storage complementary system combined with system day-ahead scheduling can effectively address the issue of wind power generation fluctuation. Therefore, in this paper we focuse on the demand for hydrogen supply at the load end, and combine the electrochemical energy storage and hydrogen energy storage technologies to establish an operational optimization model for the wind-photovoltaic complementary hydrogen energy storage system. The reverse chaotic sparrow optimization algorithm is employed to solve the problem, and a comparison is made with traditional optimization algorithms. The results demonstrate that the day-ahead operation scheme solved by the improved algorithm yields about 28% savings in the system operation cost throughout the day. The analysis results of calculation examples indicate that the established model comprehensively takes into account the actual operation characteristics of the equipment in the system. Under the time-sharing electricity price mechanism, the abandoned wind and photovoltaic can be effectively reduced by adjusting the amount of electricity purchased from the power grid and the charging and discharging power of the battery. The daily operating cost of the system is minimized by optimizing the day-ahead scheduling of the system, while ensuring that the hydrogen production power meets the hydrogen demand.